Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017)

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Accession:229279

References:
1 . Abbasi S, Hudson AE, Maran SK, Cao Y, Abbasi A, Heck DH, Jaeger D (2017) Robust Transmission of Rate Coding in the Inhibitory Purkinje Cell to Cerebellar Nuclei Pathway in Awake Mice PLOS Computational Biology
2 . Steuber V, Schultheiss NW, Silver RA, De Schutter E, Jaeger D (2011) Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells. J Comput Neurosci 30:633-58 [PubMed]
3 . Steuber V, Jaeger D (2013) Modeling the generation of output by the cerebellar nuclei. Neural Netw 47:112-9 [PubMed]
4 . Steuber V, De Schutter E, Jaeger D (2004) Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors Neurocomputing 58-60:563-568
5 . Luthman J, Hoebeek FE, Maex R, Davey N, Adams R, De Zeeuw CI, Steuber V (2011) STD-dependent and independent encoding of input irregularity as spike rate in a computational model of a cerebellar nucleus neuron. Cerebellum 10:667-82 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism: Cerebellum;
Cell Type(s): Cerebellum deep nucleus neuron;
Channel(s): I h; I T low threshold; I L high threshold; I Na,p; I Na,t; I K,Ca; I K;
Gap Junctions:
Receptor(s): AMPA; NMDA; GabaA;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: GENESIS;
Model Concept(s): Synaptic Integration;
Implementer(s): Jaeger, Dieter [djaeger at emory.edu];
Search NeuronDB for information about:  GabaA; AMPA; NMDA; I Na,p; I Na,t; I L high threshold; I T low threshold; I K; I h; I K,Ca; Gaba; Glutamate;
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                            < M A T L A B (R) >
                  Copyright 1984-2010 The MathWorks, Inc.
                Version 7.11.0.584 (R2010b) 64-bit (glnxa64)
                              August 16, 2010

 
  To get started, type one of these: helpwin, helpdesk, or demo.
  For product information, visit www.mathworks.com.
 
Destroying 1 pre-existing parallel job(s) created by matlabpool that were in the 
finished or failed state.

Starting matlabpool using the 'local' configuration ... connected to 4 labs.
>> pwd

ans =

/home/cengiz/work/pandora

>> cd ~/Documents/writings/brute-force/database-analysis-lecture/GunayEdgertonJaeger2008/runs/run_sample/data/
>> ls
brute_1.save   data1_0_pAcip.bin    data20_0_pAcip.bin
brute_20.save  data1_100_pAcip.bin  data20_100_pAcip.bin

>> t = trace('data1_0_pAcip.bin', 1e-4, 1e-3, 'GP sim1', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data1_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=GP sim1

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'GP sim1'
    props: [1x1 struct]

>> plot(t)

ans =

     1

>> res = getResults(t)
{??? Input argument "a_spikes" is undefined.

Error in ==> trace.getResults at 33
results = mergeStructs(getRateResults(a_trace, a_spikes), ...
} 
>> s = spikes(t)
spikes, id=GP sim1

ans = 

          times: [1329 3357 5392 7433 9479 11530 13586 15645 17708]
    num_samples: 19001
             dt: 1.0000e-04
             id: 'GP sim1'

>> res = getResults(t, s)

res = 

           ISICV: 0.0059
       SpikeRate: 4.7368
    SpikeRateISI: 4.8843
             avg: -64.1681
             max: 38.5472
             min: -70.0721

>> plot(s)

ans =

     2

>> a_prof = getPro
{??? Undefined function or variable 'getPro'.
} 
>> methods trace

Methods for class trace:

analyzeSpikesInPeriod  getSpike               set                    
avgTraces              lowpassfilt            setProp                
binary_op              medianfilt             spike_shape            
calcAvg                minus                  spikes                 
calcMax                mtimes                 sqrt                   
calcMin                periodWhole            subsasgn               
display                plot                   subsref                
findFilteredSpikes     plotData               times                  
get                    plot_abstract          trace                  
getDy                  plus                   uminus                 
getPotResults          power                  unary_op               
getProfileAllSpikes    rdivide                withinPeriod           
getRateResults         runAvg                 
getResults             saveAsNeuronVecAscii   

>> a_prof = getProfileAllSpikes(t)
{Warning: Error in GP sim1 ( spike#1): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#1)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#2): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#2)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#3): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#3)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#4): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#5): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#8): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#8)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{??? Reference to non-existent field 'id'.

Error in ==> getfield at 38
    f = s.(deblank(strField)); % deblank field name

Error in ==> results_profile.get at 12
  b = getfield(struct(a), attr);

Error in ==> results_profile.display at 12
disp(sprintf('%s, %s', class(t), get(t, 'id')));
} 
>> help trace/getProfileAllSpikes
  getProfileAllSpikes - Creates a trace_allspikes_profile object by collecting test results of a trace, analyzing each individual spike.
 
  Usage:
  profile_obj = getProfileAllSpikes(a_trace)
 
    Parameters:
 	a_trace: A trace object.
 
    Returns:
 	profile_obj: A trace_allspikes_profile object.
 
  Description:
    Analyzes the spontaneous (periodIniSpont), pulse (periodPulse) and the
  recovery (periodRecSpont) periods separately and produces spike shape
  distribution results. Rate and CIP measurements are added to these.
  
  See also: trace, trace_allspikes_profile
 
  $Id: getProfileAllSpikes.m 896 2007-12-17 18:48:55Z cengiz $
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2005/04/26

>> size(a_prof)

ans =

     1     1

>> a_prof
{??? Reference to non-existent field 'id'.

Error in ==> getfield at 38
    f = s.(deblank(strField)); % deblank field name

Error in ==> results_profile.get at 12
  b = getfield(struct(a), attr);

Error in ==> trace_allspikes_profile.display at 12
disp(sprintf('%s, %s', class(t), get(t, 'id')));
} 
>> a_prof
trace_allspikes_profile, GP sim1

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, GP sim1

ans = 

    results: [1x1 struct]
         id: 'GP sim1'
      props: [0x0 struct]

                     ISICV: 0.0059
                 SpikeRate: 4.7368
              SpikeRateISI: 4.8843
                       avg: -64.1681
                       max: 38.5472
                       min: -70.0721
        SpikeAmplitudeMean: 88.7882
        SpikeAmplitudeMode: 88.5418
         SpikeAmplitudeSTD: 0.6131
        SpikeBaseWidthMean: 2.1973
        SpikeBaseWidthMode: 2.1194
         SpikeBaseWidthSTD: 0.1450
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.7333
         SpikeFallTimeMode: 1.7010
          SpikeFallTimeSTD: 0.0707
        SpikeFixVWidthMean: 1.1370
        SpikeFixVWidthMode: 1.1325
         SpikeFixVWidthSTD: 0.0037
plot           SpikeHalfVmMean: -6.0533
           SpikeHalfVmMode: -5.9603
            SpikeHalfVmSTD: 0.3675
        SpikeHalfWidthMean: 1.0712
        SpikeHalfWidthMode: 1.0644
         SpikeHalfWidthSTD: 0.0062
         SpikeInitTimeMean: 6.6382
         SpikeInitTimeMode: 6.6986
          SpikeInitTimeSTD: 0.0955
    SpikeInitVmBySlopeMean: -50.2910
    SpikeInitVmBySlopeMode: -50.8911
     SpikeInitVmBySlopeSTD: 0.3699
           SpikeInitVmMean: -50.4473
           SpikeInitVmMode: -51.8002
            SpikeInitVmSTD: 0.6665
           SpikeMaxAHPMean: 19.6204
           SpikeMaxAHPMode: 19.7919
            SpikeMaxAHPSTD: 0.6646
       SpikeMaxVmSlopeMean: 362.9439
       SpikeMaxVmSlopeMode: 338.2374
        SpikeMaxVmSlopeSTD: 19.5736
          SpikeMinTimeMean: 35.6889
          SpikeMinTimeMode: 35.6995
           SpikeMinTimeSTD: 0.0333
            SpikeMinVmMean: -70.0678
            SpikeMinVmMode: -70.0719
             SpikeMinVmSTD: 0.0028
           SpikePeakVmMean: 38.3408
           SpikePeakVmMode: 38.2260
            SpikePeakVmSTD: 0.1176
         SpikeRiseTimeMean: 0.4640
         SpikeRiseTimeMode: 0.4197
          SpikeRiseTimeSTD: 0.0758
                    Spikes: 9

>> plot(a_prof)
{??? Cell contents reference from a non-cell array object.

Error in ==> results_profile.subsref at 24
      b = a{index.subs{:}};

Error in ==> plot_abstract.plot at 81
    ph = feval(a_plot.command, a_plot.data{:});

Error in ==> plot_abstract.plotFigure at 99
  plot(a_plot);

Error in ==> results_profile.plot at 34
h = plotFigure(plot_abstract(a_tests_db, title_str));
} 
>> plot(a_prof.a_spikes_db)
{??? Reference to non-existent field 'a_spikes_db'.

Error in ==> getfield at 38
    f = s.(deblank(strField)); % deblank field name

Error in ==> results_profile.get at 12
  b = getfield(struct(a), attr);

Error in ==> trace_allspikes_profile.get at 17
  b = get(a.results_profile, attr);

Error in ==> results_profile.subsref at 21
      b = get(a, index.subs);
} 
>> plot(a_prof.spikes_db)

ans =

     3

>> a_prof = getProfileAllSpikes(t)
{Warning: Error in GP sim1 ( spike#1): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#1)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#2): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#2)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#3): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#3)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#4): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#5): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#8): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#8)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, GP sim1

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, GP sim1

ans = 

    results: [1x1 struct]
         id: 'GP sim1'
      props: [0x0 struct]

                     ISICV: 0.0059
                 SpikeRate: 4.7368
              SpikeRateISI: 4.8843
                       avg: -64.1681
                       max: 38.5472
                       min: -70.0721
        SpikeAmplitudeMean: 88.7882
        SpikeAmplitudeMode: 88.5418
         SpikeAmplitudeSTD: 0.6131
        SpikeBaseWidthMean: 2.1973
        SpikeBaseWidthMode: 2.1194
         SpikeBaseWidthSTD: 0.1450
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.7333
         SpikeFallTimeMode: 1.7010
          SpikeFallTimeSTD: 0.0707
        SpikeFixVWidthMean: 1.1370
        SpikeFixVWidthMode: 1.1325
         SpikeFixVWidthSTD: 0.0037
           SpikeHalfVmMean: -6.0533
           SpikeHalfVmMode: -5.9603
            SpikeHalfVmSTD: 0.3675
        SpikeHalfWidthMean: 1.0712
        SpikeHalfWidthMode: 1.0644
         SpikeHalfWidthSTD: 0.0062
         SpikeInitTimeMean: 6.6382
         SpikeInitTimeMode: 6.6986
          SpikeInitTimeSTD: 0.0955
    SpikeInitVmBySlopeMean: -50.2910
    SpikeInitVmBySlopeMode: -50.8911
     SpikeInitVmBySlopeSTD: 0.3699
           SpikeInitVmMean: -50.4473
           SpikeInitVmMode: -51.8002
            SpikeInitVmSTD: 0.6665
           SpikeMaxAHPMean: 19.6204
           SpikeMaxAHPMode: 19.7919
            SpikeMaxAHPSTD: 0.6646
       SpikeMaxVmSlopeMean: 362.9439
       SpikeMaxVmSlopeMode: 338.2374
        SpikeMaxVmSlopeSTD: 19.5736
          SpikeMinTimeMean: 35.6889
          SpikeMinTimeMode: 35.6995
           SpikeMinTimeSTD: 0.0333
            SpikeMinVmMean: -70.0678
            SpikeMinVmMode: -70.0719
             SpikeMinVmSTD: 0.0028
           SpikePeakVmMean: 38.3408
           SpikePeakVmMode: 38.2260
            SpikePeakVmSTD: 0.1176
         SpikeRiseTimeMean: 0.4640
         SpikeRiseTimeMode: 0.4197
          SpikeRiseTimeSTD: 0.0758
                    Spikes: 9

>> help classes
  DJLAB General Purpose Matlab Classes
 
  The following classes are designed as generic templates that can be 
  subclassed to take specific tasks. They should not be modified for
  more specialized tasks.
 
  Basic data wrapper classes that define the measurements:
    trace		- A voltage/current trace.
    spikes		- Spike times of a trace. 
    spike_shape		- Averaged spike shape from a trace.
    period		- Defines time periods to operate on trace or spikes objects.
 
  Classes specialized for CIP experiments tests:
    cip_trace		- A voltage trace with a CIP applied.
 
  Profile classes that hold test results:
    result_profile	- Base class that holds a results structure.
    trace_profile	- Generic example class for holding a trace profile.
    cip_trace_profile	- Holds cip_trace results. Template class designed 
 			only for subclassing.
    cip_trace_allspikes_profile 
 			- Created by cip_trace/getProfileAllSpikes, contains statistics
 			  of spike shape measures from individual spikes.
    params_tests_profile- Collects both intermediate and result data structures 
 			from analysis of a params_tests_db.
 
  Dataset classes that point to or hold raw data:
    params_tests_dataset - Base class for datasets.
    params_tests_fileset - Holds a list of filenames and associated information,  
 			   capable of creating a params_tests_db.
    params_cip_trace_fileset - Fileset from which cip_trace objects can be created. 
    physiol_cip_traceset - Dataset of a traceset from a single file.
    physiol_cip_traceset_fileset - Dataset of a tracesets from many files.
  
  Database classes created from datasets:
    tests_db		- Base class for databases. Contains many utilities.
    params_tests_db	- DB extended to hold parameter values 
 			associated with results.
    spikes_db		- Holds measures from each individual spike in a trace.
    test_3D_db		- 3D database of tests that vary with a third variable.
    corrcoefs_db	- Holds correlation coefficients.
    histogram_db	- Holds histogram bins.
    stats_db		- Holds statistical measurements.
    ranked_db		- Database ranked for a criterion, holds error values or distances.
 
  Bundle classes that bridge the gap between database and it's ancestral dataset:
    dataset_db_bundle	- Base class of bundles. Puts a processed and raw DBs with datasets.
    model_ct_bundle	- Bundle for model databases.
    physiol_bundle	- Bundle for physiology databases.
 
  Plotting classes:
    plot_abstract	- Base class that holds information sufficient to generate any plot.
    plot_simple		- Simple extension that works for most simple plots.
    plot_stack		- Holds horizontal or vertical stack of plot_abstract objects.
    plot_inset		- Places multiple plots at absolute locations in a figure. Good for insets, etc.
    plot_superpose	- Allows superposing different plot_abstract's in the same axis.
    plot_bars		- Multi-axis bar plot with extended errorbars.
    plot_errorbar	- Errorbar plot.
    plot_errorbars	- Multi-axis errorbar plot.
 
  Classes for generating formatted printable or presentable documents:
    doc_generate	- Base class for all document classes.
    doc_plot		- Holds a plot_abstract and captions, etc.
    doc_multi		- Combines multiple doc_generate objects.
 
  Script control classes for cluster computing:
    script_factory	- Generates a set of scripts based on a recipe.
    script_array	- Designed to execute an array job serially on a computer.
    script_array_for_cluster - Executes an array job on a cluster computer.
 
  Notes:
 
  See also: subclasses under classes/cengiz
 
  $Id: Contents.m 806 2007-08-02 18:18:16Z cengiz $
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2004/09/14

>> help params_cip_trace_fileset
  params_cip_trace_fileset - 
 	Description of a raw dataset consisting of cip_trace files varying 
 	with parameter values.
 
  Usage:
  obj = params_cip_trace_fileset(file_pattern, dt, dy, 
 				 pulse_time_start, pulse_time_width, id, props)
 
  Description:
    This is a subclass of params_tests_fileset.
 
    Parameters:
 	file_pattern: File pattern mathing all files to be loaded.
 	dt: Time resolution [s]
 	dy: y-axis resolution [ISI (V, A, etc.)]
 	pulse_time_start, pulse_time_width:
 		Start and width of the pulse [dt]
 	id: An identification string
 	props: A structure with any optional properties.
 	  profile_method_name: Use this profile method that takes a
 	  	cip_trace object and returns a results_profile class. It
 	  	can be 'cip_trace_profile' (default, but outdated) or
 	  	'getProfileAllSpikes' (more current).
 	  (All other props are passed to cip_trace objects)
 		
    Returns a structure object with the following fields:
 	params_tests_fileset,
 	pulse_time_start, pulse_time_width.
 
  General operations on params_cip_trace_fileset objects:
    params_cip_trace_fileset - Construct a new object.
    display		- Returns and displays the identification string.
    get			- Gets attributes of this object and parents.
    subsref		- Allows usage of . operator.
    loadItemProfile	- Builds a cip_trace_profile for a file in the set.
    cip_trace		- Load a cip_trace corresponding to fileset entry.
    cip_trace_profile	- Load a cip_trace_profile corresponding to fileset entry.
 
     Example:
 	>> fileset = params_cip_trace_fileset('/home/abc/data/*.bin', 1e-4, 1e-3, 20001, 10000, 'sim dataset gpsc0501', struct('trace_time_start', 10001, 'type', 'sim', 'scale_y', 1e3))
 
  Additional methods:
 	See methods('params_cip_trace_fileset'), and 
 	    methods('params_tests_fileset').
 
  See also: params_tests_fileset, params_tests_db
 
  $Id: params_cip_trace_fileset.m 1316 2012-02-14 01:00:14Z cengiz $
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2004/09/14

>> help params_tests_fileset
  params_tests_fileset - Description of a set of data files of raw data varying with parameter values.
 
  Usage:
  obj = params_tests_fileset(file_pattern, dt, dy, id, props)
 
  Description:
    This is a subclass of params_tests_dataset. This class is used to generate 
  params_tests_db objects and keep 
  a connection to the raw data files. This class only keeps names of
  files and loads raw data files whenever it's requested. A database
  object can easily be generated using the convertion methods.
  Most methods defined here can 
  be used as-is, however some should be overloaded in subclasses. 
  The specific methods are loadItemProfile.
 
    Parameters:
 	file_pattern: File pattern, or cell array of patterns, matching all 
 			files to be loaded.
 	dt: Time resolution [s]
 	dy: y-axis resolution [ISI (V, A, etc.)]
 	id: An identification string
 	props: A structure with any optional properties.
 		num_params: Number of parameters that appear in filenames.
 		param_trial_name: Use this name on the filename as the 'trial' parameter.
 		param_row_filename: If given, the 'trial' parameter will be used
 			to address rows from this file and acquire parameters.
 		param_desc_filename: Contains the parameter range descriptions one per 
 			each row. The parameter names are acquired from this file.
 		param_names: Cell array of parameter names corresponding to the 
 			param_row_filename columns can be specified as an alternative to
 			specifying param_desc_filename. These names are not for the 
 			parameters present in the data filename.
 		profile_method_name: It can be one of the profile-creating methods in this
 			class. E.g., 'trace_profile', 'srp_trace_profile', etc.
 		(See parent classes and cip_trace object for more props)
 		
    Returns a structure object with the following fields:
 	params_tests_dataset,
 	path: The pathname to files.
 
  General operations on params_tests_fileset objects:
    params_tests_fileset - Construct a new object.
    loadItemProfile 	 - Implements the specific way to load raw data 
 			   traces for this fileset.
    testNames		 - Returns test names for this fileset. Uses
 			   loadItemProfile to load the raw data.
    paramNames		 - Returns parameter names for this fileset.
    itemResultsRow	 - Uses loadItemProfile to load raw data and
 			   queries it to get parameters and results.
    trace		- Load a trace corresponding to fileset entry.
    trace_profile	- Load a trace_profile corresponding to fileset entry.
    display		- Returns and displays the identification string.
    get			- Gets attributes of this object and parents.
    subsref		- Allows usage of . operator.
    
 
  Additional methods:
 	See methods('params_tests_fileset')
 
  See also: params_tests_db, tests_db, test_variable_db (N/I)
 
  $Id: params_tests_fileset.m 1317 2012-02-14 01:02:19Z cengiz $
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2004/09/09

>> pwd

ans =

/home/cengiz/Documents/writings/brute-force/database-analysis-lecture/GunayEdgertonJaeger2008/runs/run_sample/data

>> ls
brute_1.save   data1_0_pAcip.bin    data20_0_pAcip.bin
brute_20.save  data1_100_pAcip.bin  data20_100_pAcip.bin

>> 4^2*3^7*5

ans =

      174960

>> 100602*5

ans =

      503010

>> methods tests_db

Methods for class tests_db:

addColumns                 plot                       
addLastRow                 plotBox                    
addRow                     plotCovar                  
allocateRows               plotImage                  
anyRows                    plotScatter                
approxMappingLIBSVM        plotScatter3D              
approxMappingNNet          plotTestsHistsMatrix       
approxMappingSVM           plotUniquesStats2D         
assignRowsTests            plotUniquesStatsBars       
checkConsistentCols        plotUniquesStatsStacked3D  
compareRows                plotXRows                  
corrcoef                   plotYTests                 
cov                        plot_abstract              
crossProd                  plot_bars                  
dbsize                     plotrow                    
delColumns                 plotrows                   
diff                       plus                       
display                    princomp                   
displayRows                processDimNonNaNInf        
displayRowsCSV             rankMatching               
displayRowsTeX             rdivide                    
end                        renameColumns              
enumerateColumns           rop                        
eq                         rows2Struct                
factoran                   set                        
fillMissingColumns         setProp                    
ge                         setRows                    
get                        shufflerows                
getColNames                sortrows                   
groupBy                    sqrt                       
gt                         statsAll                   
hist3                      statsBounds                
histogram                  statsMeanSE                
invarValues                statsMeanStd               
isinf                      std                        
isnan                      subsasgn                   
isnanrows                  subsref                    
joinRows                   sum                        
kmeansCluster              swapRowsPages              
le                         tests2cols                 
lt                         tests2idx                  
matchingRow                tests2log                  
max                        testsHists                 
mean                       tests_db                   
meanDuplicateRows          times                      
minus                      transpose                  
mtimes                     uminus                     
ne                         unique                     
noNaNRows                  uop                        
onlyRowsTests              vertcat                    
physiol_bundle             

>> t_100pA = trace('data1_100_pAcip.bin', 1e-4, 1e-3, 'GP sim1', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data1_100_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=GP sim1

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'GP sim1'
    props: [1x1 struct]

>> plot(t_100pA)

ans =

     4

>> whos
  Name         Size             Bytes  Class                      Attributes

  a_plot       1x1             305904  plot_abstract                        
  a_prof       1x1             326716  trace_allspikes_profile              
  ans          1x1                  8  double                               
  res          1x1               1104  struct                               
  s            1x1                806  spikes                               
  t            1x1             153476  trace                                
  t_100pA      1x1             153476  trace                                

>> methods params_tests_db

Methods for class params_tests_db:

addParams               joinRows                rankVsAllDB             
crossProd               makeGenesisParFile      rankVsDB                
delColumns              matchingRow             reIndexNeurons          
display                 meanDuplicateParams     scaleParamsOneRow       
displayRankingsTeX      mergeMultipleCIPsInOne  scanParamAllRows        
fillMissingParams       onlyRowsTests           set                     
get                     paramsCoefs             subsref                 
getDualCIPdb            paramsHists             testsHists              
getParamNames           paramsParamsCoefs       unionCat                
getParamRowIndices      paramsTestsCoefsHists   unionCatTwo             
getProfile              params_tests_db         
invarParam              plotParamsHists         
invarParams             plotVarBoxMatrix        

>> help makeGenesisParFile
 --- help for params_tests_db/makeGenesisParFile ---

  makeGenesisParFile - Creates a Genesis parameter file with all the parameter values in a_db.
 
  Usage:
  makeGenesisParFile(a_db, filename, props)
 
  Description:
    For each a_db row, print the parameter names in a
  file formatted for Genesis.
 
    Parameters:
 	a_db: A params_tests_db object.
 	filename: Genesis parameter file to be created.
 	props: A structure with any optional properties.
 	  trialStart: If given, adds/replaces the trial parameter and counts forward.
 	  makeParamDesc: If 1, put the parameter names in a parameter description file with
 	  	 with a .txt extension.
 
    Returns:
 	nothing.
 
    Example:
 >> blocked_rows_db = makeModifiedParamDB(ranked_for_gps0501a_db, 1, [1, 2], 10, [-100 100]);
 >> makeGenesisParFile(blocked_rows_db, 'blocked_gps0501-03.par')
 
  See also: makeModifiedParamDB, scanParamAllRows, scaleParamsOneRow
 
  $Id: makeGenesisParFile.m 1174 2009-03-31 03:14:21Z cengiz $
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2005/03/13

>> help makeModifiedParamDB

makeModifiedParamDB not found.

Use the Help browser search field to search the documentation, or
type "help help" for help command options, such as help for methods.

>> help scaleParamsOneRow
 --- help for params_tests_db/scaleParamsOneRow ---

  scaleParamsOneRow - Scales chosen parameters in a row by multiplying with levels to create a new parameter db with as many rows as values in levels.
 
  Usage:
  a_params_db = scaleParamsOneRow(a_db, params, levels)
 
  Description:
    Produces rows by multiplying desired params, in the first row of DB, 
  with each value in levels. Then, makeGenesisParFile can be used to generate
  a parameter file from this DB to drive new simulations.
 
    Parameters:
 	a_db: A params_tests_db object whose first row is subject to modifications.
 	params: Parameters to be varied (see tests2cols for param description).
 	levels: Column vector of parameter value multipliers (1=unity).
 
    Returns:
 	a_params_db: A db only with params.
 
    Example:
  Blocks NaF from 0%-100% with 10% increments.
  >> naf_rows_db = scanOneParam(a_db(desired_row, :), 'NaF', 0:0.1:1);
 
  See also: ranked_db/blockedDistances, getParamRowIndices, makeGenesisParFile
 
  $Id: scaleParamsOneRow.m 896 2007-12-17 18:48:55Z cengiz $
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2006/02/16

>> help params_tests_db
  params_tests_db - A generic database of test results varying with parameter values, organized in a matrix format.
 
  Usage 1:
  obj = params_tests_db(params, param_names, a_test_results, 
 			test_names, id, props)
 
 
    Parameters:
 	params, a_test_results: Matrices that contain columns associated with
 		values and rows for separate observations.
 	param_names, test_names: Cell arrays of column names of params, 
 			and a_test_results, respectively.
 	id: An identifying string.
 	props: A structure with any optional properties.
 		
  Usage 2:
  obj = params_tests_db(num_params, a_tests_db, props)
 
    Parameters:
 	num_params: Number of parameters.
 	a_tests_db: A tests_db upon which to build the params_tests_db.
 	props: A structure with any optional properties.
 
  Description:
    This is a subclass of tests_db. Defines all operations on this
  structure so that subclasses can use them.
 
  Returns a structure object with the following fields:
 	tests_db
 	num_params: Number of variable parameters in simulations.
 
  General operations on params_tests_db objects:
    params_tests_db		- Construct a new params_tests_db object.
    display		- Returns and displays the identification string.
    get			- Gets attributes of this object and parents.
    subsref		- Allows usage of . operator.
 
  Additional methods:
 	See methods('params_tests_db') and methods('tests_db')
 
  See also: tests_db, test_variable_db (N/I)
 
  $Id: params_tests_db.m 1174 2009-03-31 03:14:21Z cengiz $
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2004/09/08

    Overloaded methods:
       current_clamp/params_tests_db
       params_tests_dataset/params_tests_db

>> a_db = params_tests_db([125 1 .1 10 10 .08 2 .3 1 3 1], {'NaF', 'NaP', 'Kv2', 'Kv3', 'Kv4', 'KCNQ', 'SK', 'CaHVA', 'HCN', 'morp', 'trial'}, [], {}, 'Doublet param row');
>> 
>> displayRows(a_db)

ans = 

    'NaF'      [   125]
    'NaP'      [     1]
    'Kv2'      [0.1000]
    'Kv3'      [    10]
    'Kv4'      [    10]
    'KCNQ'     [0.0800]
    'SK'       [     2]
    'CaHVA'    [0.3000]
    'HCN'      [     1]
    'morp'     [     3]
    'trial'    [     1]

>> pwd

ans =

/home/cengiz/Documents/writings/brute-force/database-analysis-lecture/GunayEdgertonJaeger2008/runs/run_sample/data

>> ls
brute_1.save  data1_0_pAcip.bin    data2_0_pAcip.bin
brute_2.save  data1_100_pAcip.bin  data2_100_pAcip.bin

>> t_100pA = trace('data1_100_pAcip.bin', 1e-4, 1e-3, 'GP sim1', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data1_100_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=GP sim1

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'GP sim1'
    props: [1x1 struct]

>> plot(t_100pA)

ans =

     5

>> t_0pA = trace('data1_0_pAcip.bin', 1e-4, 1e-3, 'GP sim1', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data1_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=GP sim1

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'GP sim1'
    props: [1x1 struct]

>> plot(t_0pA)

ans =

     5

>> t2_0pA = trace('data2_0_pAcip.bin', 1e-4, 1e-3, 'GP sim1', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data2_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=GP sim1

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'GP sim1'
    props: [1x1 struct]

>> plot(t2_0pA)

ans =

     6

>> t3_0pA = trace('data3_0_pAcip.bin', 1e-4, 1e-3, 'GP sim1', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data3_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=GP sim1

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'GP sim1'
    props: [1x1 struct]

>> plot(t3_0pA)

ans =

     7

>> help scanParamAllRows
 --- help for params_tests_db/scanParamAllRows ---

  scanParamAllRows - Scans given parameter range for each row in DB.
 
  Usage:
  a_params_db = scanParamAllRows(a_db, param, min_val, max_val, num_levels, props)
 
  Description:
    Produces rows by replacing the desired parameter value, in all rows of DB, 
  with num_levels values between the given boundaries, min_val and max_val. 
  This results in a DB with num_levels times more rows than the original DB. 
  Then, makeGenesisParFile can be used to generate a parameter file from 
  this DB to drive new simulations.
 
    Parameters:
 	a_db: A params_tests_db object whose first row is subject to modifications.
 	param: The parameter to be varied (see tests2cols for param description).
 	min_val, max_val: The low and high boundaries for the parameter value.
 	num_levels: Number of levels to produce, including the boundaries.
 	props: A structure with any optional properties.
 	  renameTrial: If given, the 'trial' column is renamed to this name.
 	  levelFunc: Use this function to get the parameter range with 
 		feval(levelFunc, min_val, max_val, num_levels). Example: 'logLevels'
 
    Returns:
 	a_params_db: A db only with params.
 
    Example:
  Sets NaF to given range with 100 levels:
  >> naf_rows_db = scanParamAllRows(a_db(desired_rows, :), 'NaF', 0, 1000, 100);
 
  See also: makeGenesisParFile, scaleParamsOneRow, ranked_db/blockedDistances, getParamRowIndices, logLevels
 
  $Id: scanParamAllRows.m 1174 2009-03-31 03:14:21Z cengiz $
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2006/02/16

>> a_NaF_db = scaleParamsOneRow(a_db, 'NaF', 1:0.1:2)
size of a_test_results: 0  0
size of test_names: 0  0
size of params: 1  11
size of param_names: 1  1
{??? Error using ==> params_tests_db.params_tests_db at 94
Number of columns in params or a_test_results and items in param_names or
test_names must match. And there should be some data to create the db.

Error in ==> params_tests_db.scaleParamsOneRow at 43
a_params_db = params_tests_db(levels * get(a_params_db, 'data'), ...
} 
>> displayRows(a_db)

ans = 

    'NaF'      [   125]
    'NaP'      [     1]
    'Kv2'      [0.1000]
    'Kv3'      [    10]
    'Kv4'      [    10]
    'KCNQ'     [0.0800]
    'SK'       [     2]
    'CaHVA'    [0.3000]
    'HCN'      [     1]
    'morp'     [     3]
    'trial'    [     1]

>> a_db
params_tests_db, Doublet param row

ans = 

    num_params: 11
      tests_db: [1x1 tests_db]

tests_db, Doublet param row
1 rows in database with 11 columns, and 1 pages.
Column names:
    [ 1]    'NaF'  
    [ 2]    'NaP'  
    [ 3]    'Kv2'  
    [ 4]    'Kv3'  
    [ 5]    'Kv4'  
    [ 6]    'KCNQ' 
    [ 7]    'SK'   
    [ 8]    'CaHVA'
    [ 9]    'HCN'  
    [10]    'morp' 
    [11]    'trial'

Optional properties of tests_db:

ans = 

0x0 struct array with no fields.

>> a_NaF_db = scaleParamsOneRow(a_db, 'NaF', 1:0.1:2)
params_tests_db, Doublet param row

ans = 

    num_params: 11
      tests_db: [1x1 tests_db]

tests_db, Doublet param row
11 rows in database with 11 columns, and 1 pages.
Column names:
    [ 1]    'NaP'  
    [ 2]    'Kv2'  
    [ 3]    'Kv3'  
    [ 4]    'Kv4'  
    [ 5]    'KCNQ' 
    [ 6]    'SK'   
    [ 7]    'CaHVA'
    [ 8]    'HCN'  
    [ 9]    'morp' 
    [10]    'trial'
    [11]    'NaF'  

Optional properties of tests_db:

ans = 

0x0 struct array with no fields.

>> displayRows(a_NaF_db)

ans = 

  Columns 1 through 6

    'NaP'      [     1]    [       1]    [     1]    [       1]    [     1]
    'Kv2'      [0.1000]    [  0.1000]    [0.1000]    [  0.1000]    [0.1000]
    'Kv3'      [    10]    [      10]    [    10]    [      10]    [    10]
    'Kv4'      [    10]    [      10]    [    10]    [      10]    [    10]
    'KCNQ'     [0.0800]    [  0.0800]    [0.0800]    [  0.0800]    [0.0800]
    'SK'       [     2]    [       2]    [     2]    [       2]    [     2]
    'CaHVA'    [0.3000]    [  0.3000]    [0.3000]    [  0.3000]    [0.3000]
    'HCN'      [     1]    [       1]    [     1]    [       1]    [     1]
    'morp'     [     3]    [       3]    [     3]    [       3]    [     3]
    'trial'    [     1]    [       1]    [     1]    [       1]    [     1]
    'NaF'      [   125]    [137.5000]    [   150]    [162.5000]    [   175]

  Columns 7 through 12

    [       1]    [     1]    [       1]    [     1]    [       1]    [     1]
    [  0.1000]    [0.1000]    [  0.1000]    [0.1000]    [  0.1000]    [0.1000]
    [      10]    [    10]    [      10]    [    10]    [      10]    [    10]
    [      10]    [    10]    [      10]    [    10]    [      10]    [    10]
    [  0.0800]    [0.0800]    [  0.0800]    [0.0800]    [  0.0800]    [0.0800]
    [       2]    [     2]    [       2]    [     2]    [       2]    [     2]
    [  0.3000]    [0.3000]    [  0.3000]    [0.3000]    [  0.3000]    [0.3000]
    [       1]    [     1]    [       1]    [     1]    [       1]    [     1]
    [       3]    [     3]    [       3]    [     3]    [       3]    [     3]
    [       1]    [     1]    [       1]    [     1]    [       1]    [     1]
    [187.5000]    [   200]    [212.5000]    [   225]    [237.5000]    [   250]

>> help makeGenesisParFile
 --- help for params_tests_db/makeGenesisParFile ---

  makeGenesisParFile - Creates a Genesis parameter file with all the parameter values in a_db.
 
  Usage:
  makeGenesisParFile(a_db, filename, props)
 
  Description:
    For each a_db row, print the parameter names in a
  file formatted for Genesis.
 
    Parameters:
 	a_db: A params_tests_db object.
 	filename: Genesis parameter file to be created.
 	props: A structure with any optional properties.
 	  trialStart: If given, adds/replaces the trial parameter and counts forward.
 	  makeParamDesc: If 1, put the parameter names in a parameter description file with
 	  	 with a .txt extension.
 
    Returns:
 	nothing.
 
    Example:
 >> naf_rows_db = scanParamAllRows(a_db(desired_rows, :), 'NaF', 0, 1000, 100);
 >> makeGenesisParFile(naf_rows_db, 'naf.par')
 
  See also: scanParamAllRows, scaleParamsOneRow
 
  $Id: makeGenesisParFile.m 1174 2009-03-31 03:14:21Z cengiz $
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2005/03/13

>> makeGenesisParFile(a_NaF_db, '../naf_doublet.par', struct('trialStart', 1, 'makeParamDesc', 1))
>> help scaleParamsOneRow
 --- help for params_tests_db/scaleParamsOneRow ---

  scaleParamsOneRow - Scales chosen parameters in a row by multiplying with levels to create a new parameter db with as many rows as values in levels.
 
  Usage:
  a_params_db = scaleParamsOneRow(a_db, params, levels)
 
  Description:
    Produces rows by multiplying desired params, in the first row of DB, 
  with each value in levels. Then, makeGenesisParFile can be used to generate
  a parameter file from this DB to drive new simulations.
 
    Parameters:
 	a_db: A params_tests_db object whose first row is subject to modifications.
 	params: Parameters to be varied (see tests2cols for param description).
 	levels: Column vector of parameter value multipliers (1=unity).
 
    Returns:
 	a_params_db: A db only with params.
 
    Example:
  Blocks NaF from 0%-100% with 10% increments.
  >> naf_rows_db = scaleParamsOneRow(a_db(desired_row, :), 'NaF', 0:0.1:1);
 
  See also: scanParamAllRows, makeGenesisParFile, ranked_db/blockedDistances, getParamRowIndices
 
  $Id: scaleParamsOneRow.m 896 2007-12-17 18:48:55Z cengiz $
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2006/02/16

>> help scanParamAllRows
 --- help for params_tests_db/scanParamAllRows ---

  scanParamAllRows - Scans given parameter range for each row in DB.
 
  Usage:
  a_params_db = scanParamAllRows(a_db, param, min_val, max_val, num_levels, props)
 
  Description:
    Produces rows by replacing the desired parameter value, in all rows of DB, 
  with num_levels values between the given boundaries, min_val and max_val. 
  This results in a DB with num_levels times more rows than the original DB. 
  Then, makeGenesisParFile can be used to generate a parameter file from 
  this DB to drive new simulations.
 
    Parameters:
 	a_db: A params_tests_db object whose first row is subject to modifications.
 	param: The parameter to be varied (see tests2cols for param description).
 	min_val, max_val: The low and high boundaries for the parameter value.
 	num_levels: Number of levels to produce, including the boundaries.
 	props: A structure with any optional properties.
 	  renameTrial: If given, the 'trial' column is renamed to this name.
 	  levelFunc: Use this function to get the parameter range with 
 		feval(levelFunc, min_val, max_val, num_levels). Example: 'logLevels'
 
    Returns:
 	a_params_db: A db only with params.
 
    Example:
  Sets NaF to given range with 100 levels:
  >> naf_rows_db = scanParamAllRows(a_db(desired_rows, :), 'NaF', 0, 1000, 100);
 
  See also: makeGenesisParFile, scaleParamsOneRow, ranked_db/blockedDistances, getParamRowIndices, logLevels
 
  $Id: scanParamAllRows.m 1174 2009-03-31 03:14:21Z cengiz $
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2006/02/16

>> a_db = params_tests_db([125 1 .1 10 10 .08 2 .3 1 3], {'NaF', 'NaP', 'Kv2', 'Kv3', 'Kv4', 'KCNQ', 'SK', 'CaHVA', 'HCN', 'morp'}, [], {}, 'Doublet param row');
>> 
>> a_NaF_db = scaleParamsOneRow(a_db, 'NaF', 1:0.1:2)
params_tests_db, Doublet param row

ans = 

    num_params: 10
      tests_db: [1x1 tests_db]

tests_db, Doublet param row
11 rows in database with 10 columns, and 1 pages.
Column names:
    [ 1]    'NaP'  
    [ 2]    'Kv2'  
    [ 3]    'Kv3'  
    [ 4]    'Kv4'  
    [ 5]    'KCNQ' 
    [ 6]    'SK'   
    [ 7]    'CaHVA'
    [ 8]    'HCN'  
    [ 9]    'morp' 
    [10]    'NaF'  

Optional properties of tests_db:

ans = 

0x0 struct array with no fields.

>> 
>> displayRows(a_NaF_db)

ans = 

  Columns 1 through 6

    'NaP'      [     1]    [       1]    [     1]    [       1]    [     1]
    'Kv2'      [0.1000]    [  0.1000]    [0.1000]    [  0.1000]    [0.1000]
    'Kv3'      [    10]    [      10]    [    10]    [      10]    [    10]
    'Kv4'      [    10]    [      10]    [    10]    [      10]    [    10]
    'KCNQ'     [0.0800]    [  0.0800]    [0.0800]    [  0.0800]    [0.0800]
    'SK'       [     2]    [       2]    [     2]    [       2]    [     2]
    'CaHVA'    [0.3000]    [  0.3000]    [0.3000]    [  0.3000]    [0.3000]
    'HCN'      [     1]    [       1]    [     1]    [       1]    [     1]
    'morp'     [     3]    [       3]    [     3]    [       3]    [     3]
    'NaF'      [   125]    [137.5000]    [   150]    [162.5000]    [   175]

  Columns 7 through 12

    [       1]    [     1]    [       1]    [     1]    [       1]    [     1]
    [  0.1000]    [0.1000]    [  0.1000]    [0.1000]    [  0.1000]    [0.1000]
    [      10]    [    10]    [      10]    [    10]    [      10]    [    10]
    [      10]    [    10]    [      10]    [    10]    [      10]    [    10]
    [  0.0800]    [0.0800]    [  0.0800]    [0.0800]    [  0.0800]    [0.0800]
    [       2]    [     2]    [       2]    [     2]    [       2]    [     2]
    [  0.3000]    [0.3000]    [  0.3000]    [0.3000]    [  0.3000]    [0.3000]
    [       1]    [     1]    [       1]    [     1]    [       1]    [     1]
    [       3]    [     3]    [       3]    [     3]    [       3]    [     3]
    [187.5000]    [   200]    [212.5000]    [   225]    [237.5000]    [   250]

>> a_NaF_db = a_NaF_db(:, [10 1:9])
params_tests_db, Doublet param row

ans = 

    num_params: 10
      tests_db: [1x1 tests_db]

tests_db, Doublet param row
11 rows in database with 10 columns, and 1 pages.
Column names:
    [ 1]    'NaF'  
    [ 2]    'NaP'  
    [ 3]    'Kv2'  
    [ 4]    'Kv3'  
    [ 5]    'Kv4'  
    [ 6]    'KCNQ' 
    [ 7]    'SK'   
    [ 8]    'CaHVA'
    [ 9]    'HCN'  
    [10]    'morp' 

Optional properties of tests_db:

ans = 

0x0 struct array with no fields.

>> 
>> displayRows(a_NaF_db)

ans = 

  Columns 1 through 6

    'NaF'      [   125]    [137.5000]    [   150]    [162.5000]    [   175]
    'NaP'      [     1]    [       1]    [     1]    [       1]    [     1]
    'Kv2'      [0.1000]    [  0.1000]    [0.1000]    [  0.1000]    [0.1000]
    'Kv3'      [    10]    [      10]    [    10]    [      10]    [    10]
    'Kv4'      [    10]    [      10]    [    10]    [      10]    [    10]
    'KCNQ'     [0.0800]    [  0.0800]    [0.0800]    [  0.0800]    [0.0800]
    'SK'       [     2]    [       2]    [     2]    [       2]    [     2]
    'CaHVA'    [0.3000]    [  0.3000]    [0.3000]    [  0.3000]    [0.3000]
    'HCN'      [     1]    [       1]    [     1]    [       1]    [     1]
    'morp'     [     3]    [       3]    [     3]    [       3]    [     3]

  Columns 7 through 12

    [187.5000]    [   200]    [212.5000]    [   225]    [237.5000]    [   250]
    [       1]    [     1]    [       1]    [     1]    [       1]    [     1]
    [  0.1000]    [0.1000]    [  0.1000]    [0.1000]    [  0.1000]    [0.1000]
    [      10]    [    10]    [      10]    [    10]    [      10]    [    10]
    [      10]    [    10]    [      10]    [    10]    [      10]    [    10]
    [  0.0800]    [0.0800]    [  0.0800]    [0.0800]    [  0.0800]    [0.0800]
    [       2]    [     2]    [       2]    [     2]    [       2]    [     2]
    [  0.3000]    [0.3000]    [  0.3000]    [0.3000]    [  0.3000]    [0.3000]
    [       1]    [     1]    [       1]    [     1]    [       1]    [     1]
    [       3]    [     3]    [       3]    [     3]    [       3]    [     3]

>> pwd

ans =

/home/cengiz/Documents/writings/brute-force/database-analysis-lecture/GunayEdgertonJaeger2008/runs/run_sample/data

>> makeGenesisParFile(a_NaF_db, '../naf_doublet.par', struct('trialStart', 1, 'makeParamDesc', 1))
{??? Error using ==> tests_db.addColumns at 47
Number of rows in column (0) does not match rows in DB (11).

Error in ==> tests_db.addColumns at 47
  error(['Number of rows in column (' num2str(size(test_columns, 1)) ') ', ...

Error in ==> params_tests_db.addParams at 55
obj = addColumns(a_param_db, fieldnames(get(a_test_db, 'col_idx')), ...

Error in ==> params_tests_db.makeGenesisParFile at 50
    a_db = addParams(a_db, {'trial'}, trial_col);
} 
>> dbstop if error
>> makeGenesisParFile(a_NaF_db, '../naf_doublet.par', struct('trialStart', 1, 'makeParamDesc', 1))
{??? Error using ==> tests_db.addColumns at 47
Number of rows in column (0) does not match rows in DB (11).

Error in ==> tests_db.addColumns at 47
  error(['Number of rows in column (' num2str(size(test_columns, 1)) ') ', ...

Error in ==> params_tests_db.addParams at 55
obj = addColumns(a_param_db, fieldnames(get(a_test_db, 'col_idx')), ...

Error in ==> params_tests_db.makeGenesisParFile at 50
    a_db = addParams(a_db, {'trial'}, trial_col);
} 
57        rethrow(lerr);      
K>> opentoline('/home/cengiz/work/pandora/classes/@params_tests_db/makeGenesisParFile.m',57,1)
K>> a_db
params_tests_db, Doublet param row

ans = 

    num_params: 10
      tests_db: [1x1 tests_db]

tests_db, Doublet param row
11 rows in database with 10 columns, and 1 pages.
Column names:
    [ 1]    'NaF'  
    [ 2]    'NaP'  
    [ 3]    'Kv2'  
    [ 4]    'Kv3'  
    [ 5]    'Kv4'  
    [ 6]    'KCNQ' 
    [ 7]    'SK'   
    [ 8]    'CaHVA'
    [ 9]    'HCN'  
    [10]    'morp' 

Optional properties of tests_db:

ans = 

0x0 struct array with no fields.

K>> a_db = addParams(a_db, {'trial'}, trial_col)
{??? Error using ==> tests_db.addColumns at 47
Number of rows in column (0) does not match rows in DB (11).

Error in ==> params_tests_db.addParams at 55
obj = addColumns(a_param_db, fieldnames(get(a_test_db, 'col_idx')), ...
} 
47    error(['Number of rows in column (' num2str(size(test_columns, 1)) ') ', ...
K>> opentoline('/home/cengiz/work/pandora/classes/@tests_db/addColumns.m',47,1)
K>> dbsize(obj)

ans =

    11    11

K>> dbsize(obj, 1)

ans =

    11

K>> dbup
In workspace belonging to params_tests_db.addParams at 55
K>> dbquit
K>> a_db = addParams(a_db, {'trial'}, trial_col)
params_tests_db, Doublet param row

ans = 

    num_params: 11
      tests_db: [1x1 tests_db]

tests_db, Doublet param row
11 rows in database with 11 columns, and 1 pages.
Column names:
    [ 1]    'NaF'  
    [ 2]    'NaP'  
    [ 3]    'Kv2'  
    [ 4]    'Kv3'  
    [ 5]    'Kv4'  
    [ 6]    'KCNQ' 
    [ 7]    'SK'   
    [ 8]    'CaHVA'
    [ 9]    'HCN'  
    [10]    'morp' 
    [11]    'trial'

Optional properties of tests_db:

ans = 

0x0 struct array with no fields.

K>> displayRows(a_db)

ans = 

  Columns 1 through 6

    'NaF'      [   125]    [137.5000]    [   150]    [162.5000]    [   175]
    'NaP'      [     1]    [       1]    [     1]    [       1]    [     1]
    'Kv2'      [0.1000]    [  0.1000]    [0.1000]    [  0.1000]    [0.1000]
    'Kv3'      [    10]    [      10]    [    10]    [      10]    [    10]
    'Kv4'      [    10]    [      10]    [    10]    [      10]    [    10]
    'KCNQ'     [0.0800]    [  0.0800]    [0.0800]    [  0.0800]    [0.0800]
    'SK'       [     2]    [       2]    [     2]    [       2]    [     2]
    'CaHVA'    [0.3000]    [  0.3000]    [0.3000]    [  0.3000]    [0.3000]
    'HCN'      [     1]    [       1]    [     1]    [       1]    [     1]
    'morp'     [     3]    [       3]    [     3]    [       3]    [     3]
    'trial'    [     1]    [       2]    [     3]    [       4]    [     5]

  Columns 7 through 12

    [187.5000]    [   200]    [212.5000]    [   225]    [237.5000]    [   250]
    [       1]    [     1]    [       1]    [     1]    [       1]    [     1]
    [  0.1000]    [0.1000]    [  0.1000]    [0.1000]    [  0.1000]    [0.1000]
    [      10]    [    10]    [      10]    [    10]    [      10]    [    10]
    [      10]    [    10]    [      10]    [    10]    [      10]    [    10]
    [  0.0800]    [0.0800]    [  0.0800]    [0.0800]    [  0.0800]    [0.0800]
    [       2]    [     2]    [       2]    [     2]    [       2]    [     2]
    [  0.3000]    [0.3000]    [  0.3000]    [0.3000]    [  0.3000]    [0.3000]
    [       1]    [     1]    [       1]    [     1]    [       1]    [     1]
    [       3]    [     3]    [       3]    [     3]    [       3]    [     3]
    [       6]    [     7]    [       8]    [     9]    [      10]    [    11]

K>> dbquit
>> dbclear all
>> makeGenesisParFile(a_NaF_db, '../naf_doublet.par', struct('trialStart', 1, 'makeParamDesc', 1))
>> a_db = params_tests_db([125 1 .1 10 10 .08 2 .3 1 3], {'NaF', 'NaP', 'Kv2', 'Kv3', 'Kv4', 'KCNQ', 'SK', 'CaHVA', 'HCN', 'morph'}, [], {}, 'Doublet param row')
params_tests_db, Doublet param row

ans = 

    num_params: 10
      tests_db: [1x1 tests_db]

tests_db, Doublet param row
1 rows in database with 10 columns, and 1 pages.
Column names:
    [ 1]    'NaF'  
    [ 2]    'NaP'  
    [ 3]    'Kv2'  
    [ 4]    'Kv3'  
    [ 5]    'Kv4'  
    [ 6]    'KCNQ' 
    [ 7]    'SK'   
    [ 8]    'CaHVA'
    [ 9]    'HCN'  
    [10]    'morph'

Optional properties of tests_db:

ans = 

0x0 struct array with no fields.

>> 
>> a_NaF_db = scaleParamsOneRow(a_db, 'NaF', 1:0.2:2)
params_tests_db, Doublet param row

ans = 

    num_params: 10
      tests_db: [1x1 tests_db]

tests_db, Doublet param row
6 rows in database with 10 columns, and 1 pages.
Column names:
    [ 1]    'NaP'  
    [ 2]    'Kv2'  
    [ 3]    'Kv3'  
    [ 4]    'Kv4'  
    [ 5]    'KCNQ' 
    [ 6]    'SK'   
    [ 7]    'CaHVA'
    [ 8]    'HCN'  
    [ 9]    'morph'
    [10]    'NaF'  

Optional properties of tests_db:

ans = 

0x0 struct array with no fields.

>> 
>> a_NaF_db = a_NaF_db(:, [10 1:9])
params_tests_db, Doublet param row

ans = 

    num_params: 10
      tests_db: [1x1 tests_db]

tests_db, Doublet param row
6 rows in database with 10 columns, and 1 pages.
Column names:
    [ 1]    'NaF'  
    [ 2]    'NaP'  
    [ 3]    'Kv2'  
    [ 4]    'Kv3'  
    [ 5]    'Kv4'  
    [ 6]    'KCNQ' 
    [ 7]    'SK'   
    [ 8]    'CaHVA'
    [ 9]    'HCN'  
    [10]    'morph'

Optional properties of tests_db:

ans = 

0x0 struct array with no fields.

>> 
>> makeGenesisParFile(a_NaF_db, '../naf_doublet.par', struct('trialStart', 1, 'makeParamDesc', 1))
>> 
>> a_fs = params_tests_fileset(*_0_pAcip.bin', 1e-4, 1e-3, 'NaF doublet', struct('trace_time_start', 1000, 'scale_y', 1e3, 'param_row_filename', '../naf_doublet.par', 'param_desc_filename', '../naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes'))
??? a_fs = params_tests_fileset(*_0_pAcip.bin', 1e-4, 1e-3, 'NaF doublet', struct('trace_time_start', 1000, 'scale_y', 1e3, 'param_row_filename', '../naf_doublet.par', 'param_desc_filename', '../naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes'))
                                |
{Error: Unexpected MATLAB operator.
} 
>> a_fs = params_tests_fileset('*_0_pAcip.bin', 1e-4, 1e-3, 'NaF doublet', struct('trace_time_start', 1000, 'scale_y', 1e3, 'param_row_filename', '../naf_doublet.par', 'param_desc_filename', '../naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes'))
params_tests_fileset, NaF doublet

ans = 

                    path: ''
    params_tests_dataset: [1x1 params_tests_dataset]

params_tests_dataset, NaF doublet

ans = 

     list: {'data2_0_pAcip.bin'  'data3_0_pAcip.bin'  'data5_0_pAcip.bin'}
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'NaF doublet'
    props: [1x1 struct]

Optional properties of params_tests_dataset:

ans = 

       trace_time_start: 1000
                scale_y: 1000
     param_row_filename: '../naf_doublet.par'
    param_desc_filename: '../naf_doublet.txt'
    profile_method_name: 'getProfileAllSpikes'
             param_rows: [6x11 double]
            param_names: {1x11 cell}

>> t_db = params_tests_db(a_fs)
{Warning: Error caught during database creation, before starting to read items:
Error using ==> params_tests_fileset.trace at 46
Parameter lookup from rows is requested, but cannot find the "trial" parameter
in the data filename data2_0_pAcip.bin. Returning empty database.} 
> In params_tests_dataset.readDBItems at 50
  In params_tests_dataset.params_tests_db at 60
Stack trace:
  /home/cengiz/work/pandora/classes/@params_tests_fileset/trace.m at 46 (trace).
  /home/cengiz/work/pandora/classes/@params_tests_fileset/loadItemProfile.m at 35 (loadItemProfile).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/testNames.m at 40 (testNames).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m at 41 (readDBItems).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/params_tests_db.m at 60 (params_tests_db).
Error in ==> params_tests_dataset.readDBItems at 35
if ~ exist('items', 'var')

{??? Output argument "docs" (and maybe others) not assigned during call to
"/home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m>readDBItems".

Error in ==> params_tests_dataset.params_tests_db at 60
[params, param_names, tests, test_names, a_doc] = readDBItems(args{:});
} 
>> help readGenesisPars

readGenesisPars not found.

Use the Help browser search field to search the documentation, or
type "help help" for help command options, such as help for methods.

>> help parseGenesisFilename
  parseGenesisFilename - Parses the GENESIS filename to get names and values of simulation parameters.
  Usage:
  names_vals = parseGenesisFilename(filename)
 
  Description:
 	Parameters:
 		filename: GENESIS filename (no need to exist)
 		
 	Returns:
 		names_vals: A two-column cell array with names and values.
 
  Available methods:
 	See methods('cip_profile_brute')
 
  See also: cip_profile
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2004/03/10

>> 
Process MATLAB hangup

                            < M A T L A B (R) >
                  Copyright 1984-2010 The MathWorks, Inc.
                Version 7.11.0.584 (R2010b) 64-bit (glnxa64)
                              August 16, 2010

 
  To get started, type one of these: helpwin, helpdesk, or demo.
  For product information, visit www.mathworks.com.
 
Destroying 1 pre-existing parallel job(s) created by matlabpool that were in the 
finished or failed state.

Starting matlabpool using the 'local' configuration ... connected to 4 labs.
>> help fileio

fileio not found.

Use the Help browser search field to search the documentation, or
type "help help" for help command options, such as help for methods.

>> help 
HELP topics:

analysis-scripts/doc           - (No table of contents file)
pyloric-sensordb/analysis-scripts - (No table of contents file)
work/libsvm-mat-2.88-1-local   - (No table of contents file)
drosophila/voltage-clamp       - (No table of contents file)
drosophila/param_fitter        - (No table of contents file)
work/plotautobd                - (No table of contents file)
drosophila/XPP-Matlab          - (No table of contents file)
pandora/functions              - (No table of contents file)
pandora/classes                - DJLAB General Purpose Matlab Classes
matlab_xunit/xunit             - MATLAB xUnit Test Framework
work/cen_matlab                - Cengiz's tools for automatic analysis
matlab/simEngine               - SIMATRA simEngine
matlab/file-exchange           - (No table of contents file)
matlab/fred-scripts            - (No table of contents file)
Documents/MATLAB               - (No table of contents file)
cengiz/matlab                  - (No table of contents file)
matlab/general                 - General purpose commands.
matlab/ops                     - Operators and special characters.
matlab/lang                    - Programming language constructs.
matlab/elmat                   - Elementary matrices and matrix manipulation.
matlab/randfun                 - Random matrices and random streams.
matlab/elfun                   - Elementary math functions.
matlab/specfun                 - Specialized math functions.
matlab/matfun                  - Matrix functions - numerical linear algebra.
matlab/datafun                 - Data analysis and Fourier transforms.
matlab/polyfun                 - Interpolation and polynomials.
matlab/funfun                  - Function functions and ODE solvers.
matlab/sparfun                 - Sparse matrices.
matlab/scribe                  - Annotation and Plot Editing.
matlab/graph2d                 - Two dimensional graphs.
matlab/graph3d                 - Three dimensional graphs.
matlab/specgraph               - Specialized graphs.
matlab/graphics                - Handle Graphics.
matlab/uitools                 - Graphical User Interface Tools.
matlab/strfun                  - Character strings.
matlab/imagesci                - Image and scientific data input/output.
matlab/iofun                   - File input and output.
matlab/audiovideo              - Audio and Video support.
matlab/timefun                 - Time and dates.
matlab/datatypes               - Data types and structures.
matlab/verctrl                 - Version control.
matlab/codetools               - Commands for creating and debugging code
matlab/helptools               - Help commands.
matlab/demos                   - Examples and demonstrations.
matlab/timeseries              - Time series data visualization and exploration.
matlab/hds                     - (No table of contents file)
matlab/guide                   - Graphical User Interface Tools.
matlab/plottools               - Graphical User Interface Tools.
toolbox/local                  - General preferences and configuration information.
matlab/datamanager             - (No table of contents file)
shared/instrument              - (No table of contents file)
toolbox/nnet                   - Neural Network Toolbox
nnet/nncontrol                 - Neural Network Toolbox Control System Functions.
nnet/nndemos                   - Neural Network Demonstrations and Applications
nndemos/nndatasets             - Neural Network Datasets
nnet/nnadapt                   - Neural Network Toolbox Adapt Functions.
nnet/nndatafun                 - Neural Network Toolbox Data Functions.
nnet/nnderivative              - Neural Network Toolbox Derivative Functions.
nnet/nndistance                - Neural Network Toolbox Distance Functions.
nnet/nndivision                - Neural Network Toolbox Division Functions.
nnet/nninitlayer               - Neural Network Toolbox Layer Initialization Functions.
nnet/nninitnetwork             - Neural Network Toolbox Network Initialization Functions.
nnet/nninitweight              - Neural Network Toolbox Weight Initialization Functions.
nnet/nnlearn                   - Neural Network Toolbox Learning Functions.
nnet/nnnetfun                  - Neural Network Toolbox Network Functions.
nnet/nnnetinput                - Neural Network Toolbox Net Input Functions.
nnet/nnnetwork                 - Neural Network Toolbox Network Creation Functions.
nnet/nnperformance             - Neural Network Toolbox Performance Functions.
nnet/nnplot                    - Neural Network Toolbox Plot Functions.
nnet/nnprocess                 - Neural Network Toolbox Processing Functions.
nnet/nnsearch                  - Neural Network Toolbox Line Search Functions.
nnet/nntopology                - Neural Network Toolbox Topology Functions.
nnet/nntrain                   - Neural Network Toolbox Training Functions.
nnet/nntransfer                - Neural Network Toolbox Transfer Functions.
nnet/nnweight                  - Neural Network Toolbox Weight Functions.
nnet/nnguis                    - Neural Network Toolbox GUI Functions.
nnet/nnobsolete                - Neural Network Toolbox Obsolete Functions
nnet/nnutils                   - Neural Network Toolbox Utility Functions
shared/rptgen                  - (No table of contents file)
database/database              - Database Toolbox
database/dbdemos               - Database Toolbox Demonstration Functions.
database/vqb                   - Visual Query Builder functions.
shared/dastudio                - (No table of contents file)
optim/optim                    - Optimization Toolbox
optim/optimdemos               - Demonstrations of large-scale methods.
shared/optimlib                - Optimization Toolbox Library
toolbox/compiler               - MATLAB Compiler
curvefit/curvefit              - Curve Fitting Toolbox
curvefit/splines               - Curve Fitting Toolbox -- Spline Functions
curvefit/cftoolgui             - Curve Fitting Toolbox -- Curve Fitting Tool
curvefit/sftoolgui             - Curve Fitting Toolbox -- Surface Fitting Tool
curvefit/curvefitdemos         - Curve Fitting Toolbox -- Demos
signal/signal                  - Signal Processing Toolbox 
signal/sigtools                - (No table of contents file)
signal/sptoolgui               - (No table of contents file)
signal/sigdemos                - (No table of contents file)
shared/spcuilib                - (No table of contents file)
shared/siglib                  - (No table of contents file)
shared/filterdesignlib         - (No table of contents file)
controllib/general             - Control Library -  General Utilities.
images/colorspaces             - Image Processing Toolbox --- colorspaces
images/images                  - Image Processing Toolbox
images/imdemos                 - Image Processing Toolbox --- demos and sample images
images/imuitools               - Image Processing Toolbox --- imuitools
images/iptformats              - Image Processing Toolbox --- File Formats
images/iptutils                - Image Processing Toolbox --- utilities
shared/imageslib               - Image Processing Toolbox Library
wavelet/wavelet                - Wavelet Toolbox
wavelet/wmultisig1d            - (No table of contents file)
wavelet/wavedemo               - (No table of contents file)
wavelet/compression            - (No table of contents file)
stats/stats                    - Statistics Toolbox
stats/statsdemos               - Statistics Toolbox
shared/statslib                - Statistics Toolbox Library
globaloptim/globaloptim        - Global Optimization Toolbox
globaloptim/globaloptimdemos   - Global Optimization Toolbox Demos
symbolic/symbolic              - Symbolic Math Toolbox
symbolic/symbolicdemos         - (No table of contents file)
shared/comparisons             - (No table of contents file)
controllib/graphics            - Control Library - Graphics.
toolbox/distcomp               - Parallel Computing Toolbox
distcomp/distcomp              - (No table of contents file)
distcomp/user                  - (No table of contents file)
distcomp/mpi                   - (No table of contents file)
distcomp/pctdemos              - (No table of contents file)
distcomp/parallel              - Parallel Algorithms
parallel/lapack                - (No table of contents file)
parallel/util                  - (No table of contents file)
distcomp/lang                  - Parallel computing programming language constructs.
distcomp/gpu                   - Parallel Computing Toolbox

>> help general
  General purpose commands.
  MATLAB Version 7.11 (R2010b) 03-Aug-2010 
 
  General information.
    syntax        - Help on MATLAB command syntax.
    demo          - Run demonstrations.
    ver           - MATLAB, Simulink and toolbox version information.
    version       - MATLAB version information.
    verLessThan   - Compare version of toolbox to specified version string.
    logo          - Plot the L-shaped membrane logo with MATLAB lighting.
    membrane      - Generates the MATLAB logo.
    bench         - MATLAB Benchmark.
  
  Managing the workspace.
    who           - List current variables.
    whos          - List current variables, long form. 
    clear         - Clear variables and functions from memory.
    onCleanup     - Specify cleanup work to be done on function completion.
    pack          - Consolidate workspace memory.
    load          - Load workspace variables from disk.
    save          - Save workspace variables to disk. 
    saveas        - Save Figure or model to desired output format.
    memory        - Help for memory limitations.
    recycle       - Set option to move deleted files to recycle folder.
    quit          - Quit MATLAB session.
    exit          - Exit from MATLAB.
 
  Managing commands and functions.
    what          - List MATLAB-specific files in directory.
    type          - List M-file.
    open          - Open files by extension.
    which         - Locate functions and files.
    pcode         - Create pre-parsed pseudo-code file (P-file).
    mex           - Compile MEX-function. 
    inmem         - List functions in memory. 
    namelengthmax - Maximum length of MATLAB function or variable name.
 
  Managing the search path.
    path          - Get/set search path.
    addpath       - Add directory to search path.
    rmpath        - Remove directory from search path.
    rehash        - Refresh function and file system caches.
    import        - Import packages into the current scope.
    finfo         - Identify file type against standard file handlers on path.
    genpath       - Generate recursive toolbox path.
    savepath      - Save the current MATLAB path in the pathdef.m file.
 
  Managing the java search path.
    javaaddpath   - Add directories to the dynamic java path.
    javaclasspath - Get and set java path.
    javarmpath    - Remove directory from dynamic java path.
 
  Controlling the command window.
    echo          - Echo commands in M-files.
    more          - Control paged output in command window.
    diary         - Save text of MATLAB session.
    format        - Set output format.
    beep          - Produce beep sound.
    desktop       - Start and query the MATLAB Desktop.
    preferences   - Bring up MATLAB user settable preferences dialog.
 
  Operating system commands.
    cd            - Change current working directory.
    copyfile      - Copy file or directory.
    movefile      - Move file or directory.
    delete        - Delete file or graphics object.
    pwd           - Show (print) current working directory.
    dir           - List directory.
    ls            - List directory.
    fileattrib    - Set or get attributes of files and directories.
    isdir         - True if argument is a directory.
    mkdir         - Make new directory.
    rmdir         - Remove directory.
    getenv        - Get environment variable.
    !             - Execute operating system command (see PUNCT).
    dos           - Execute DOS command and return result.
    unix          - Execute UNIX command and return result.
    system        - Execute system command and return result.
    perl          - Execute Perl command and return the result.
    computer      - Computer type.
    isunix        - True for the UNIX version of MATLAB.
    ispc          - True for the PC (Windows) version of MATLAB.
 
  Debugging.
    debug         - List debugging commands.
 
  Tools to locate dependent functions of an M-file.
    depfun        - Locate dependent functions of an M-file or P-file.
    depdir        - Locate dependent directories of an M-file or P-file.
 
  Loading and calling shared libraries.
    calllib          - Call a function in an external library.
    libpointer       - Creates a pointer object for use with external libraries.
    libstruct        - Creates a structure pointer for use with external libraries.
    libisloaded      - True if the specified shared library is loaded.
    loadlibrary      - Load a shared library into MATLAB. 
    libfunctions     - Return information on functions in an external library.
    libfunctionsview - View the functions in an external library.
    unloadlibrary    - Unload a shared library loaded with LOADLIBRARY.
    java             - Using Java from within MATLAB.
    usejava          - True if the specified Java feature is supported in MATLAB.
 
  See also lang, datatypes, iofun, graphics, ops, strfun, timefun, 
  matfun, demos, graphics, datafun, uitools, doc, punct, arith.


  Control Library -  General Utilities.
 
  Version 9.0 03-Aug-2010

>> computer

ans =

GLNXA64

>> help fopen
 FOPEN  Open file.
    FID = FOPEN(FILENAME) opens the file FILENAME for read access.
    FILENAME is a string containing the name of the file to be opened.  
    (On PC systems, FOPEN opens files for binary read access.)
 
    FILENAME can be a MATLABPATH relative partial pathname.  If the
    file is not found in the current working directory, FOPEN searches for 
    it on the MATLAB search path.  On UNIX systems, FILENAME may also start
    with a "~/" or a "~username/", which FOPEN expands to the current
    user's home directory or the specified user's home directory,
    respectively.
 
    FID is a scalar MATLAB integer valued double, called a file identifier. 
    You use FID as the first argument to other file input/output
    routines, such as FREAD and FCLOSE. If FOPEN cannot open the file, it 
    returns -1.
 
    FID = FOPEN(FILENAME,PERMISSION) opens the file FILENAME in the
    mode specified by PERMISSION:
    
        'r'     open file for reading
        'w'     open file for writing; discard existing contents
        'a'     open or create file for writing; append data to end of file
        'r+'    open (do not create) file for reading and writing
        'w+'    open or create file for reading and writing; discard 
                existing contents
        'a+'    open or create file for reading and writing; append data 
                to end of file
        'W'     open file for writing without automatic flushing
        'A'     open file for appending without automatic flushing
    
    FILENAME can be a MATLABPATH relative partial pathname only if the file
    is opened for reading.
 
    You can open files in binary mode (the default) or in text mode.
    In binary mode, no characters get singled out for special treatment.
    In text mode on the PC, the carriage return character preceding
    a newline character is deleted on input and added before the newline
    character on output.  To open a file in text mode, append 't' to the
    permission string, for example 'rt' and 'w+t'.  (On Unix, text and
    binary mode are the same, so this has no effect.  On PC systems
    this is critical.)
 
    If the file is opened in update mode ('+'), you must use an FSEEK or 
    FREWIND between an input command like FREAD, FSCANF, FGETS, or FGETL 
    and an output command like FWRITE or FPRINTF.  You must also use an 
    FSEEK or FREWIND between an output command and an input command.
 
    Two file identifiers are automatically available and need not be
    opened.  They are FID=1 (standard output) and FID=2 (standard error).
    
    [FID, MESSAGE] = FOPEN(FILENAME,...) returns a system dependent error 
    message if the open is not successful.
 
    [FID, MESSAGE] = FOPEN(FILENAME,PERMISSION,MACHINEFORMAT) opens the
    specified file with the specified PERMISSION and treats data read
    using FREAD or data written using FWRITE as having a format given
    by MACHINEFORMAT. MACHINEFORMAT is one of the following strings:
 
    'native'      or 'n' - local machine format - the default
    'ieee-le'     or 'l' - IEEE floating point with little-endian
                           byte ordering
    'ieee-be'     or 'b' - IEEE floating point with big-endian
                           byte ordering
    'ieee-le.l64' or 'a' - IEEE floating point with little-endian
                           byte ordering and 64 bit long data type
    'ieee-be.l64' or 's' - IEEE floating point with big-endian byte
                           ordering and 64 bit long data type.
    
    [FID, MESSAGE] = FOPEN(FILENAME,PERMISSION,MACHINEFORMAT,ENCODING) 
    opens the specified file using the specified PERMISSION and 
    MACHINEFORMAT. ENCODING is a string that specifies the character 
    encoding scheme associated with the file. It must be the empty 
    string ('') or a name or alias for an encoding scheme. Some examples 
    are 'UTF-8', 'latin1', 'US-ASCII', and 'Shift_JIS'. For common names 
    and aliases, see the Web site 
    http://www.iana.org/assignments/character-sets. If ENCODING is 
    unspecified or is the empty string (''), MATLAB's default encoding 
    scheme is used.
 
    [FILENAME,PERMISSION,MACHINEFORMAT,ENCODING] = FOPEN(FID) returns the 
    filename, permission, machine format, and character encoding values
    used by MATLAB when it opened the file associated with identifier FID.
    MATLAB does not determine these output values by reading information 
    from the opened file. For any of these parameters that were not 
    specified when the file was opened, MATLAB returns its default value. 
    The ENCODING string is a standard character encoding scheme name that 
    may not be the same as the ENCODING argument used in the call to FOPEN 
    that opened the file. An invalid FID returns empty strings for all 
    output arguments.
 
    FIDS = FOPEN('all') returns a row vector containing the file 
    identifiers for all the files currently opened by the user 
    (but not 1 or 2).
    
    The 'W' and 'A' permissions do not automatically perform a flush 
    of the current output buffer after output operations.
    
    See also fclose, ferror, fgetl, fgets, fprintf, fread, fscanf, fseek, 
             ftell, fwrite.

    Overloaded methods:
       serial/fopen
       icinterface/fopen

    Reference page in Help browser
       doc fopen

>> dat = readgenbin('~/Documents/writings/brute-force/database-analysis-lecture/'
??? dat = readgenbin('~/Documents/writings/brute-force/database-analysis-lecture/'
                                                                                  |
{Error: Expression or statement is incorrect--possibly unbalanced (, {, or [.
} 
>> dat = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 0, 1000)

dat =

   1.0e+38 *

  Columns 1 through 7

    0.0000         0         0         0   -0.0000    0.0000   -0.0000

  Columns 8 through 14

    0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000

  Columns 15 through 21

   -0.0000   -0.0000    0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 22 through 28

    0.0000    0.0000    0.0000   -0.0000    0.0000   -0.0000   -0.0000

  Columns 29 through 35

    0.0000    0.0000    0.0000    0.0000    0.0000   -0.0000   -0.0000

  Columns 36 through 42

   -0.0000    0.0000    0.0000    0.0000   -0.0000    0.0000   -0.0000

  Columns 43 through 49

    0.0000    0.0000       NaN    0.0000    0.0000   -0.0000   -0.0000

  Columns 50 through 56

    0.0000    0.0000   -0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 57 through 63

    0.0000   -0.0472    0.0000    0.4301    0.0000   -0.0000    0.0000

  Columns 64 through 70

   -0.0000   -0.0267   -0.0000   -0.0000    0.0000    0.0000    0.0000

  Columns 71 through 77

   -0.0000    0.0000    0.0000    0.0000    0.0000   -0.0000   -0.0000

  Columns 78 through 84

    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000

  Columns 85 through 91

   -0.0000   -0.0000    1.2388    0.0000   -0.0087    0.0000   -0.0000

  Columns 92 through 98

   -0.0000    0.0064   -0.0000   -0.1781   -0.0000   -0.0000   -0.0000

  Columns 99 through 105

   -0.0000    0.0000    0.0000   -0.0000    0.0000   -0.0000   -0.0000

  Columns 106 through 112

   -0.0000   -0.0000    0.0000    0.0000   -0.0000   -0.0000    0.0000

  Columns 113 through 119

    0.0000   -0.0000    0.0000   -0.0080   -0.0000   -0.0000   -0.0000

  Columns 120 through 126

    0.0000    0.0000   -0.0000    0.0000   -0.0000    0.0000   -0.0000

  Columns 127 through 133

   -0.0000    0.0000    0.0000   -0.0000    0.0000   -0.0000    0.0000

  Columns 134 through 140

    0.0000    0.0000    0.0000    0.0000    0.0000   -0.0000   -0.8284

  Columns 141 through 147

   -0.0000    0.0000    0.0000   -0.0000    0.0000    0.0807   -0.0000

  Columns 148 through 154

   -0.0000    0.0000    0.0000   -0.0000    0.0000    0.0000   -0.0000

  Columns 155 through 161

   -0.0000   -0.0000   -0.0000   -0.0000    0.0000   -0.0000    0.1203

  Columns 162 through 168

   -0.0000    0.0000   -0.0000    0.0000    0.0000   -0.0000   -0.0000

  Columns 169 through 175

    0.0000   -0.0000   -0.0898    0.0000   -0.0000    0.1027   -0.0000

  Columns 176 through 182

    0.0000    0.0000    0.0000   -0.0000   -0.0000    0.1423   -0.0000

  Columns 183 through 189

   -0.0000    0.0000    0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 190 through 196

   -0.0000    0.0000    0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 197 through 203

    0.0000   -0.0000    0.0000   -0.0000    0.0000    0.0000    0.0000

  Columns 204 through 210

   -0.0000   -0.0000   -0.0000    0.0000    0.0000   -0.0070    0.0000

  Columns 211 through 217

    0.0000    0.0000   -0.0000    0.0000    0.0000    0.0000   -0.0000

  Columns 218 through 224

   -0.0000   -0.0000    0.0000   -0.0000    0.0000    0.0000   -0.0000

  Columns 225 through 231

   -0.0000   -0.0000   -0.0008    0.0000   -0.0000    0.0000   -0.0000

  Columns 232 through 238

    0.0000    0.0000   -0.0000   -0.0000    0.0000    0.0000   -0.3164

  Columns 239 through 245

    0.0000    0.0000    0.0000    0.0000   -0.0000    0.0000   -0.0000

  Columns 246 through 252

    0.0000   -0.0000   -0.0000    0.0000    0.0000    0.0000   -0.0000

  Columns 253 through 259

    0.0000   -0.0000   -0.0000    0.0000   -0.0031    0.0000    0.0000

  Columns 260 through 266

    0.0000    0.3630    0.0000    0.0000   -0.0000   -0.0000    0.0000

  Columns 267 through 273

    0.0491   -0.8670    0.0000   -0.0000    0.0000   -0.0000    0.0000

  Columns 274 through 280

    0.0000   -0.0019    0.0000    0.0000   -0.0000   -0.0000   -0.0000

  Columns 281 through 287

    0.0000    0.0000    0.0000   -0.0000    0.0000    0.0000   -0.0000

  Columns 288 through 294

    0.0000    0.0000    0.0000   -0.0000    0.0000    0.0000    0.0000

  Columns 295 through 301

   -0.0000    0.0000   -0.0000   -0.0000    0.0000   -0.0000    0.0000

  Columns 302 through 308

    0.0000    0.0000    0.0000   -0.0000    0.0000    0.0000    0.0000

  Columns 309 through 315

   -0.0000   -0.0000    0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 316 through 322

    0.0000   -0.0000   -0.0000    0.0000    0.0000   -0.0000   -0.0000

  Columns 323 through 329

    0.0143   -0.0000    0.0000    0.0000    0.0000    0.0000    0.0000

  Columns 330 through 336

    0.0000   -0.0000   -0.0000    0.0000    0.0000    0.0000    0.0000

  Columns 337 through 343

    0.0000   -0.0000    0.1076   -0.0000    0.0000    0.0000   -0.0000

  Columns 344 through 350

   -0.0000   -0.0000    0.1433    0.0000   -0.0000    0.0000    0.0101

  Columns 351 through 357

   -0.0000   -0.0000   -0.0000    0.0000   -0.0456   -0.0000    0.0000

  Columns 358 through 364

   -0.0000    0.0000   -0.0000    0.0000    0.0000    0.0000    0.0000

  Columns 365 through 371

    0.0000    0.0000   -0.0000   -0.0000    0.0000   -0.0000   -0.0000

  Columns 372 through 378

    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000   -0.0000

  Columns 379 through 385

    0.0000   -0.0000    0.0000   -0.0000    0.0000    0.0000   -0.0000

  Columns 386 through 392

   -0.0000   -0.0000   -0.0000   -0.0000    0.0000    0.0000   -0.0000

  Columns 393 through 399

    0.0000   -0.0000   -0.0000   -0.0000    0.0000    0.0000    0.0000

  Columns 400 through 406

    0.0000    0.0000   -0.0000   -0.0000    0.0000   -0.0000    0.0000

  Columns 407 through 413

    0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000

  Columns 414 through 420

   -0.0000    0.0000   -0.0004   -0.0000    0.0000   -0.0000   -0.0000

  Columns 421 through 427

    0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000

  Columns 428 through 434

    0.0000   -0.0000   -0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 435 through 441

   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000    0.0003    0.0000

  Columns 442 through 448

   -0.0000    0.0000   -0.0000    0.0000   -0.0000   -0.0000    0.0000

  Columns 449 through 455

    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000   -0.0000

  Columns 456 through 462

    0.0000   -0.0000    0.0000   -0.0000   -0.0000    0.0000    0.0000

  Columns 463 through 469

    0.0000    0.0000    0.0000    0.0000   -0.0000   -0.0000    0.0000

  Columns 470 through 476

    0.1807   -0.0000    0.0000    0.0000   -0.0000   -0.0000   -0.0000

  Columns 477 through 483

   -0.0000   -0.0000   -0.0000    0.0000   -0.0000    0.0000   -0.0000

  Columns 484 through 490

    0.0000    0.0001   -0.0000    0.0000    0.0000   -0.0000   -0.0000

  Columns 491 through 497

   -0.0000    0.0000   -0.0000   -0.0000    0.0000   -0.0000   -0.0000

  Columns 498 through 504

   -0.0000   -0.0745    0.0000    0.0000    0.0000   -0.0000    0.0000

  Columns 505 through 511

   -0.0001    0.0000   -0.0000    0.0000   -0.0000   -0.0000   -0.0000

  Columns 512 through 518

   -0.0000   -0.0000    0.0101    0.0000   -0.0001    0.0000   -0.0000

  Columns 519 through 525

    0.0000    0.0000   -0.0000   -0.0000   -0.0000    0.0000    0.0000

  Columns 526 through 532

   -0.0000   -0.0000    0.0000    0.0000   -0.0000   -0.0000   -1.0532

  Columns 533 through 539

   -0.0000   -0.0000    0.0000    0.0000   -0.0000    0.0000   -0.0000

  Columns 540 through 546

   -0.0000    0.0000    0.0000    0.0000   -0.0000   -0.0000    0.0000

  Columns 547 through 553

   -0.0000    0.0000    0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 554 through 560

    0.0000   -0.0000    0.0000    0.2201   -0.0000   -0.0000   -0.0000

  Columns 561 through 567

   -0.0000   -0.0000    0.0000   -0.0000   -2.0531    0.0000    0.0000

  Columns 568 through 574

    0.0000    0.0000    0.0000   -0.0000    0.0000    0.0000   -0.0000

  Columns 575 through 581

   -0.0000   -0.0000    0.0000   -0.0007   -0.0000   -0.0000    0.0000

  Columns 582 through 588

    0.0000    0.0000   -0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 589 through 595

    0.0000    0.0000   -0.0000    0.0000   -0.0000   -0.0000   -0.0000

  Columns 596 through 602

   -0.0000    0.0000   -0.0018    0.0000   -0.0000    0.0000    0.0000

  Columns 603 through 609

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    0.0000   -0.0001   -0.0000   -0.0000    0.0000   -0.0000    0.0000

  Columns 19321 through 19327

   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 19328 through 19334

   -0.0000    0.0000   -0.0000   -0.0000    0.0000   -0.0000   -0.0000

  Columns 19335 through 19341

    0.0000    0.0000   -0.0000    0.0000    0.0000    0.0000    0.0000

  Columns 19342 through 19348

    0.0000    0.0000   -0.0000    0.0000    0.0000   -0.0000   -0.0000

  Columns 19349 through 19355

   -0.0000   -0.0000    0.0000   -0.0000    0.0000   -0.0000   -0.0000

  Columns 19356 through 19362

   -0.0000   -0.0000    0.0000    0.0000   -0.0000   -0.0000   -0.0000

  Columns 19363 through 19369

    0.0000   -0.0093   -0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 19370 through 19376

    0.0000   -0.0014   -0.0000   -0.0047    0.0000   -0.0000   -0.0000

  Columns 19377 through 19383

    0.0000    0.0000   -0.0000   -0.1698    0.0000    0.0000    0.0000

  Columns 19384 through 19390

   -0.0000    0.0000    0.0978   -0.0000   -0.0000    0.0000    0.0000

  Columns 19391 through 19397

    0.0000   -0.0000   -0.0000    0.0000   -0.0425    0.0006   -0.0000

  Columns 19398 through 19404

   -0.0000   -0.0000    0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 19405 through 19411

    0.0000    0.0000    0.0000    0.0000   -0.0000    0.0000   -0.0000

  Columns 19412 through 19418

    0.1015    0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000

  Columns 19419 through 19425

    0.0000    0.0000   -0.0000    0.0000    0.0000    0.0000   -0.0000

  Columns 19426 through 19432

    0.0000    0.0000   -0.0000    0.0000    0.0000    0.0000   -0.0000

  Columns 19433 through 19439

    0.0000    0.0000   -0.0000   -0.0000   -0.0000    2.8900   -0.0000

  Columns 19440 through 19446

   -0.0000    0.0000   -0.0000    0.0000    0.0000    0.0000   -0.0007

  Columns 19447 through 19453

    0.0000    0.0000    0.0000    0.0000    0.0000   -0.0000   -0.0000

  Columns 19454 through 19460

    0.0000    0.0000    0.0000    0.0000    0.0000   -0.0000   -0.0000

  Columns 19461 through 19467

   -0.0000   -0.0000    0.0001    0.0014   -0.0003   -0.0000    0.0000

  Columns 19468 through 19474

    0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 19475 through 19481

    0.0000   -0.0000    0.2632   -0.0000    0.0000   -0.0000    0.0000

  Columns 19482 through 19488

    0.0044    0.0000    0.0000   -0.0000    0.0000    0.0000    0.0000

  Columns 19489 through 19495

   -0.0000    0.0000   -0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 19496 through 19502

   -0.0000    0.0000   -0.0000    0.0000   -0.0000    0.0000   -0.0000

  Columns 19503 through 19509

    0.0000   -0.0000   -0.0000    0.0000   -0.0000   -0.0000    0.0000

  Columns 19510 through 19516

   -0.0000    0.0033    0.0000    0.0000    0.0000    0.0000    0.0000

  Columns 19517 through 19523

    0.0000    0.0000    0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 19524 through 19530

   -0.0000    0.0000    0.0000    0.0000   -0.0000   -0.0000   -0.2047

  Columns 19531 through 19537

    0.0000   -0.0000   -0.0000    0.0038    0.0000    0.0000   -0.0000

  Columns 19538 through 19544

   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000

  Columns 19545 through 19551

    0.0000    0.0000   -0.0000   -0.0000   -0.0001    0.0000    0.0000

  Columns 19552 through 19558

    0.0000    0.0000    0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 19559 through 19565

   -0.0000   -0.0000   -0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 19566 through 19572

   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000    0.0007

  Columns 19573 through 19579

   -0.0001    0.0000    0.0064   -0.0000   -0.0000   -0.0000   -0.0000

  Columns 19580 through 19586

    0.0000   -0.0000    0.0000   -0.0000   -0.0000    0.0000   -0.0000

  Columns 19587 through 19593

    0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 19594 through 19600

    0.0000   -0.0000   -0.0000   -0.0000   -0.0000    0.0000   -0.0000

  Columns 19601 through 19607

   -0.0000    0.0000    0.0000   -0.0000    0.0000   -0.0000   -0.0000

  Columns 19608 through 19614

   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000

  Columns 19615 through 19621

   -0.0000   -0.0000    0.0000    0.0000   -0.0000    0.0728    0.0002

  Columns 19622 through 19628

    0.0000   -0.0000    0.0000   -0.0000    0.0000   -0.0000    0.0000

  Columns 19629 through 19635

    0.0000    0.0000   -0.0000    0.0000    0.0000   -0.0000    0.0000

  Columns 19636 through 19642

    0.0000   -0.0000   -0.0000    0.0113    0.0000   -0.0000   -0.0000

  Columns 19643 through 19649

    0.0000   -0.0000   -0.0000   -0.0000    0.0000    0.0000   -0.0000

  Columns 19650 through 19656

   -0.0000    0.0000    0.0000   -0.0000   -0.0000    0.0000   -0.0000

  Columns 19657 through 19663

   -0.0000    0.0000    0.0000    0.0000   -0.0000   -0.0000   -0.0000

  Columns 19664 through 19670

    0.0000   -0.0000    0.0000   -0.0000    0.0000    0.0001   -0.0000

  Columns 19671 through 19677

    0.0000   -0.0000    0.0000    0.0000   -0.3513    0.0000    0.0022

  Columns 19678 through 19684

    0.0000   -0.0000   -0.0044    0.0000    0.0000    0.0000   -0.0000

  Columns 19685 through 19691

   -0.0000   -0.0000   -0.0000   -0.0000    0.0000    0.0000   -0.0000

  Columns 19692 through 19698

   -0.0000    0.0000    0.0000   -0.0000   -0.0000    0.0000   -0.0000

  Columns 19699 through 19705

    0.0000   -0.0000   -0.0000    0.0000    0.0000    0.0000   -0.0000

  Columns 19706 through 19712

   -0.0000    0.0000   -0.0000   -0.0000    0.0033   -0.0000   -0.0000

  Columns 19713 through 19719

   -0.0000    0.0000    0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 19720 through 19726

   -0.0000    0.9665   -0.0000   -0.0000   -0.0000    0.0000    0.0000

  Columns 19727 through 19733

    0.0000    0.0000   -0.0000    0.0000    0.0000    0.0000    0.0000

  Columns 19734 through 19740

   -0.0000   -0.0003    0.0000   -0.0970   -0.0000    0.0000   -0.0000

  Columns 19741 through 19747

   -0.0000   -0.0000   -0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 19748 through 19754

    0.0000   -0.0000   -0.0000   -0.0000    0.0000    0.0300    0.0000

  Columns 19755 through 19761

    0.0000   -0.0101    0.0000   -0.0000    0.0000    0.0000    0.0000

  Columns 19762 through 19768

   -0.2716   -0.0000    0.0000   -0.0000   -0.0000   -0.0000   -0.0000

  Columns 19769 through 19775

   -0.0000    0.0000   -0.5697   -0.0000   -0.0000    0.0000    0.0000

  Columns 19776 through 19782

    0.0000   -0.0000   -0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 19783 through 19789

    0.0000    0.0000    0.0000   -0.0000   -0.0000    0.0000   -0.0000

  Columns 19790 through 19796

   -0.0000   -0.0000    0.0000    0.0000   -0.0000   -0.0000    0.0000

  Columns 19797 through 19803

   -0.0000    0.0000   -0.0000   -0.0000   -0.0000    0.0000   -0.0000

  Columns 19804 through 19810

   -0.0000    0.0000   -0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 19811 through 19817

    0.0000    0.0000    0.0000   -0.0000   -0.0000    0.0000   -0.0000

  Columns 19818 through 19824

    0.0000    0.0000    0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 19825 through 19831

    0.0000   -0.0000    0.0000   -0.0000    0.0000    0.0000    0.0000

  Columns 19832 through 19838

    0.0000    0.0000    0.0000   -0.0001   -0.0000    0.0000   -0.0000

  Columns 19839 through 19845

    0.0000    0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000

  Columns 19846 through 19852

    0.0000   -0.0000    0.0000    0.0000   -0.0000   -0.0000    0.0000

  Columns 19853 through 19859

    0.0000    0.0000    0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 19860 through 19866

   -0.0000    0.0000   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000

  Columns 19867 through 19873

   -0.0000   -0.0000   -0.0000    0.0000   -0.0000    0.0000   -0.0000

  Columns 19874 through 19880

   -0.0000   -0.0014    0.0000   -0.0057   -0.0000   -0.0000   -0.0000

  Columns 19881 through 19887

   -0.0000    0.0000   -0.0000    0.0000   -0.0000   -0.0000    0.0000

  Columns 19888 through 19894

    0.0000    0.0000   -0.0000   -0.0000    0.0000   -0.0000   -0.0000

  Columns 19895 through 19901

    0.0000    0.5099   -0.0000    0.0000   -0.0000   -0.0000   -0.0000

  Columns 19902 through 19908

   -0.0000   -0.0000    0.0000    0.0000   -0.0000    0.0000    0.0023

  Columns 19909 through 19915

   -0.0000   -0.0000    0.0000    0.0000    0.0000   -0.0000   -0.0000

  Columns 19916 through 19922

    0.0000   -0.0000    0.0000   -0.0000    0.0000   -0.0000   -0.0000

  Columns 19923 through 19929

   -0.0000   -0.0000   -0.0000   -0.0000    0.0000    0.0000   -0.0000

  Columns 19930 through 19936

    0.0000    0.0383   -0.0000    0.0000    0.0000    0.0000    0.0000

  Columns 19937 through 19943

    0.0000    0.0000   -0.0000    0.0000   -0.0000    0.0000   -0.0000

  Columns 19944 through 19950

    0.0000    0.1391   -0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 19951 through 19957

   -0.0000    0.0000    0.4967   -0.0000   -0.0005    0.0000    0.0000

  Columns 19958 through 19964

    0.0000    0.0000    0.0000    0.0000   -0.0000    0.0000    0.0000

  Columns 19965 through 19971

    0.0001   -0.0000   -0.0000   -0.0000   -0.0000   -0.0000    0.0000

  Columns 19972 through 19978

    0.0000   -0.0000    0.0000   -0.0000    0.0000   -0.0000   -0.0000

  Columns 19979 through 19985

   -0.0000   -0.0000    0.0000    0.0000   -0.0000    0.0000   -0.0000

  Columns 19986 through 19992

    0.0000   -0.0000   -0.0000   -0.0000    3.2759    0.0000    0.0000

  Columns 19993 through 19999

   -0.0000   -0.0000   -0.0000    0.0000    0.0000    0.0000    0.0000

  Columns 20000 through 20005

    0.0000    0.0000   -0.0000    0.0000   -0.0000    0.0000

>> 
>> figure; plot(dat)
>> dat = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 0, 1000);
>> dat = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 0, 1000);
>> dat = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 0, 1000);
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 841827934361976490164224 Hz
{??? Error using ==> readgenbin at 49
Frequency outside bounds  1 - 1,000,000 Hz. Are you sure about the endian
parameter?
} 
>> dat = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 0, 1000);
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 841827934361976490164224 Hz
{??? Error using ==> readgenbin at 49
Frequency outside bounds  1 - 1,000,000 Hz. Make sure to  select the correct
endian parameter!
} 
>> dat = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 0, 1000, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
>> dat = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 0, 1000);
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 841827934361976490164224 Hz
{??? Error using ==> readgenbin at 49
Frequency outside bounds  1 - 1,000,000 Hz. Make sure to  select the correct
endian parameter!
} 
>> dat = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 0, 1000, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
>> figure; plot(dat)
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 0, 1000, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
>> size(t)

ans =

           1       10000

>> figure; plot(t, dat)
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 0, 1000, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Data length: 20001 points, up to 2000.0999 ms
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', NaN, 1000, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
>> figure; plot(t, dat)
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', NaN, NaN, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
>> figure; plot(t, dat)
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', NaN, NaN, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 200, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 1900.0999 ms
Reading 1000 points, or 100 ms of data.
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 0, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 1900.0999 ms
Reading -1000 points, or -100 ms of data.
{??? Error using ==> fread
Invalid size.

Error in ==> readgenbin at 86
A = fread(fil, [num_cols read_length], 'float32');
} 
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 0, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 1900.0999 ms
{??? Error using ==> readgenbin at 81
Must choose end_time > start_time!
} 
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 200, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 1900.0999 ms
Reading 1000 points, or 100 ms of data.
>> t

t =

  Columns 1 through 7

  100.0000  100.1000  100.2000  100.3000  100.4000  100.5000  100.6000

  Columns 8 through 14

  100.7000  100.8000  100.9000  101.0000  101.1000  101.2000  101.3000

  Columns 15 through 21

  101.4000  101.5000  101.6000  101.7000  101.8000  101.9000  102.0000

  Columns 22 through 28

  102.1000  102.2000  102.3000  102.4000  102.5000  102.6000  102.7000

  Columns 29 through 35

  102.8000  102.9000  103.0000  103.1000  103.2000  103.3000  103.4000

  Columns 36 through 42

  103.5000  103.6000  103.7000  103.8000  103.9000  104.0000  104.1000

  Columns 43 through 49

  104.2000  104.3000  104.4000  104.5000  104.6000  104.7000  104.8000

  Columns 50 through 56

  104.9000  105.0000  105.1000  105.2000  105.3000  105.4000  105.5000

  Columns 57 through 63

  105.6000  105.7000  105.8000  105.9000  106.0000  106.1000  106.2000

  Columns 64 through 70

  106.3000  106.4000  106.5000  106.6000  106.7000  106.8000  106.9000

  Columns 71 through 77

  107.0000  107.1000  107.2000  107.3000  107.4000  107.5000  107.6000

  Columns 78 through 84

  107.7000  107.8000  107.9000  108.0000  108.1000  108.2000  108.3000

  Columns 85 through 91

  108.4000  108.5000  108.6000  108.7000  108.8000  108.9000  109.0000

  Columns 92 through 98

  109.1000  109.2000  109.3000  109.4000  109.5000  109.6000  109.7000

  Columns 99 through 105

  109.8000  109.9000  110.0000  110.1000  110.2000  110.3000  110.4000

  Columns 106 through 112

  110.5000  110.6000  110.7000  110.8000  110.9000  111.0000  111.1000

  Columns 113 through 119

  111.2000  111.3000  111.4000  111.5000  111.6000  111.7000  111.8000

  Columns 120 through 126

  111.9000  112.0000  112.1000  112.2000  112.3000  112.4000  112.5000

  Columns 127 through 133

  112.6000  112.7000  112.8000  112.9000  113.0000  113.1000  113.2000

  Columns 134 through 140

  113.3000  113.4000  113.5000  113.6000  113.7000  113.8000  113.9000

  Columns 141 through 147

  114.0000  114.1000  114.2000  114.3000  114.4000  114.5000  114.6000

  Columns 148 through 154

  114.7000  114.8000  114.9000  115.0000  115.1000  115.2000  115.3000

  Columns 155 through 161

  115.4000  115.5000  115.6000  115.7000  115.8000  115.9000  116.0000

  Columns 162 through 168

  116.1000  116.2000  116.3000  116.4000  116.5000  116.6000  116.7000

  Columns 169 through 175

  116.8000  116.9000  117.0000  117.1000  117.2000  117.3000  117.4000

  Columns 176 through 182

  117.5000  117.6000  117.7000  117.8000  117.9000  118.0000  118.1000

  Columns 183 through 189

  118.2000  118.3000  118.4000  118.5000  118.6000  118.7000  118.8000

  Columns 190 through 196

  118.9000  119.0000  119.1000  119.2000  119.3000  119.4000  119.5000

  Columns 197 through 203

  119.6000  119.7000  119.8000  119.9000  120.0000  120.1000  120.2000

  Columns 204 through 210

  120.3000  120.4000  120.5000  120.6000  120.7000  120.8000  120.9000

  Columns 211 through 217

  121.0000  121.1000  121.2000  121.3000  121.4000  121.5000  121.6000

  Columns 218 through 224

  121.7000  121.8000  121.9000  122.0000  122.1000  122.2000  122.3000

  Columns 225 through 231

  122.4000  122.5000  122.6000  122.7000  122.8000  122.9000  123.0000

  Columns 232 through 238

  123.1000  123.2000  123.3000  123.4000  123.5000  123.6000  123.7000

  Columns 239 through 245

  123.8000  123.9000  124.0000  124.1000  124.2000  124.3000  124.4000

  Columns 246 through 252

  124.5000  124.6000  124.7000  124.8000  124.9000  125.0000  125.1000

  Columns 253 through 259

  125.2000  125.3000  125.4000  125.5000  125.6000  125.7000  125.8000

  Columns 260 through 266

  125.9000  126.0000  126.1000  126.2000  126.3000  126.4000  126.5000

  Columns 267 through 273

  126.6000  126.7000  126.8000  126.9000  127.0000  127.1000  127.2000

  Columns 274 through 280

  127.3000  127.4000  127.5000  127.6000  127.7000  127.8000  127.9000

  Columns 281 through 287

  128.0000  128.1000  128.2000  128.3000  128.4000  128.5000  128.6000

  Columns 288 through 294

  128.7000  128.8000  128.9000  129.0000  129.1000  129.2000  129.3000

  Columns 295 through 301

  129.4000  129.5000  129.6000  129.7000  129.8000  129.9000  130.0000

  Columns 302 through 308

  130.1000  130.2000  130.3000  130.4000  130.5000  130.6000  130.7000

  Columns 309 through 315

  130.8000  130.9000  131.0000  131.1000  131.2000  131.3000  131.4000

  Columns 316 through 322

  131.5000  131.6000  131.7000  131.8000  131.9000  132.0000  132.1000

  Columns 323 through 329

  132.2000  132.3000  132.4000  132.5000  132.6000  132.7000  132.8000

  Columns 330 through 336

  132.9000  133.0000  133.1000  133.2000  133.3000  133.4000  133.5000

  Columns 337 through 343

  133.6000  133.7000  133.8000  133.9000  134.0000  134.1000  134.2000

  Columns 344 through 350

  134.3000  134.4000  134.5000  134.6000  134.7000  134.8000  134.9000

  Columns 351 through 357

  135.0000  135.1000  135.2000  135.3000  135.4000  135.5000  135.6000

  Columns 358 through 364

  135.7000  135.8000  135.9000  136.0000  136.1000  136.2000  136.3000

  Columns 365 through 371

  136.4000  136.5000  136.6000  136.7000  136.8000  136.9000  137.0000

  Columns 372 through 378

  137.1000  137.2000  137.3000  137.4000  137.5000  137.6000  137.7000

  Columns 379 through 385

  137.8000  137.9000  138.0000  138.1000  138.2000  138.3000  138.4000

  Columns 386 through 392

  138.5000  138.6000  138.7000  138.8000  138.9000  139.0000  139.1000

  Columns 393 through 399

  139.2000  139.3000  139.4000  139.5000  139.6000  139.7000  139.8000

  Columns 400 through 406

  139.9000  140.0000  140.1000  140.2000  140.3000  140.4000  140.5000

  Columns 407 through 413

  140.6000  140.7000  140.8000  140.9000  141.0000  141.1000  141.2000

  Columns 414 through 420

  141.3000  141.4000  141.5000  141.6000  141.7000  141.8000  141.9000

  Columns 421 through 427

  142.0000  142.1000  142.2000  142.3000  142.4000  142.5000  142.6000

  Columns 428 through 434

  142.7000  142.8000  142.9000  143.0000  143.1000  143.2000  143.3000

  Columns 435 through 441

  143.4000  143.5000  143.6000  143.7000  143.8000  143.9000  144.0000

  Columns 442 through 448

  144.1000  144.2000  144.3000  144.4000  144.5000  144.6000  144.7000

  Columns 449 through 455

  144.8000  144.9000  145.0000  145.1000  145.2000  145.3000  145.4000

  Columns 456 through 462

  145.5000  145.6000  145.7000  145.8000  145.9000  146.0000  146.1000

  Columns 463 through 469

  146.2000  146.3000  146.4000  146.5000  146.6000  146.7000  146.8000

  Columns 470 through 476

  146.9000  147.0000  147.1000  147.2000  147.3000  147.4000  147.5000

  Columns 477 through 483

  147.6000  147.7000  147.8000  147.9000  148.0000  148.1000  148.2000

  Columns 484 through 490

  148.3000  148.4000  148.5000  148.6000  148.7000  148.8000  148.9000

  Columns 491 through 497

  149.0000  149.1000  149.2000  149.3000  149.4000  149.5000  149.6000

  Columns 498 through 504

  149.7000  149.8000  149.9000  150.0000  150.1000  150.2000  150.3000

  Columns 505 through 511

  150.4000  150.5000  150.6000  150.7000  150.8000  150.9000  151.0000

  Columns 512 through 518

  151.1000  151.2000  151.3000  151.4000  151.5000  151.6000  151.7000

  Columns 519 through 525

  151.8000  151.9000  152.0000  152.1000  152.2000  152.3000  152.4000

  Columns 526 through 532

  152.5000  152.6000  152.7000  152.8000  152.9000  153.0000  153.1000

  Columns 533 through 539

  153.2000  153.3000  153.4000  153.5000  153.6000  153.7000  153.8000

  Columns 540 through 546

  153.9000  154.0000  154.1000  154.2000  154.3000  154.4000  154.5000

  Columns 547 through 553

  154.6000  154.7000  154.8000  154.9000  155.0000  155.1000  155.2000

  Columns 554 through 560

  155.3000  155.4000  155.5000  155.6000  155.7000  155.8000  155.9000

  Columns 561 through 567

  156.0000  156.1000  156.2000  156.3000  156.4000  156.5000  156.6000

  Columns 568 through 574

  156.7000  156.8000  156.9000  157.0000  157.1000  157.2000  157.3000

  Columns 575 through 581

  157.4000  157.5000  157.6000  157.7000  157.8000  157.9000  158.0000

  Columns 582 through 588

  158.1000  158.2000  158.3000  158.4000  158.5000  158.6000  158.7000

  Columns 589 through 595

  158.8000  158.9000  159.0000  159.1000  159.2000  159.3000  159.4000

  Columns 596 through 602

  159.5000  159.6000  159.7000  159.8000  159.9000  160.0000  160.1000

  Columns 603 through 609

  160.2000  160.3000  160.4000  160.5000  160.6000  160.7000  160.8000

  Columns 610 through 616

  160.9000  161.0000  161.1000  161.2000  161.3000  161.4000  161.5000

  Columns 617 through 623

  161.6000  161.7000  161.8000  161.9000  162.0000  162.1000  162.2000

  Columns 624 through 630

  162.3000  162.4000  162.5000  162.6000  162.7000  162.8000  162.9000

  Columns 631 through 637

  163.0000  163.1000  163.2000  163.3000  163.4000  163.5000  163.6000

  Columns 638 through 644

  163.7000  163.8000  163.9000  164.0000  164.1000  164.2000  164.3000

  Columns 645 through 651

  164.4000  164.5000  164.6000  164.7000  164.8000  164.9000  165.0000

  Columns 652 through 658

  165.1000  165.2000  165.3000  165.4000  165.5000  165.6000  165.7000

  Columns 659 through 665

  165.8000  165.9000  166.0000  166.1000  166.2000  166.3000  166.4000

  Columns 666 through 672

  166.5000  166.6000  166.7000  166.8000  166.9000  167.0000  167.1000

  Columns 673 through 679

  167.2000  167.3000  167.4000  167.5000  167.6000  167.7000  167.8000

  Columns 680 through 686

  167.9000  168.0000  168.1000  168.2000  168.3000  168.4000  168.5000

  Columns 687 through 693

  168.6000  168.7000  168.8000  168.9000  169.0000  169.1000  169.2000

  Columns 694 through 700

  169.3000  169.4000  169.5000  169.6000  169.7000  169.8000  169.9000

  Columns 701 through 707

  170.0000  170.1000  170.2000  170.3000  170.4000  170.5000  170.6000

  Columns 708 through 714

  170.7000  170.8000  170.9000  171.0000  171.1000  171.2000  171.3000

  Columns 715 through 721

  171.4000  171.5000  171.6000  171.7000  171.8000  171.9000  172.0000

  Columns 722 through 728

  172.1000  172.2000  172.3000  172.4000  172.5000  172.6000  172.7000

  Columns 729 through 735

  172.8000  172.9000  173.0000  173.1000  173.2000  173.3000  173.4000

  Columns 736 through 742

  173.5000  173.6000  173.7000  173.8000  173.9000  174.0000  174.1000

  Columns 743 through 749

  174.2000  174.3000  174.4000  174.5000  174.6000  174.7000  174.8000

  Columns 750 through 756

  174.9000  175.0000  175.1000  175.2000  175.3000  175.4000  175.5000

  Columns 757 through 763

  175.6000  175.7000  175.8000  175.9000  176.0000  176.1000  176.2000

  Columns 764 through 770

  176.3000  176.4000  176.5000  176.6000  176.7000  176.8000  176.9000

  Columns 771 through 777

  177.0000  177.1000  177.2000  177.3000  177.4000  177.5000  177.6000

  Columns 778 through 784

  177.7000  177.8000  177.9000  178.0000  178.1000  178.2000  178.3000

  Columns 785 through 791

  178.4000  178.5000  178.6000  178.7000  178.8000  178.9000  179.0000

  Columns 792 through 798

  179.1000  179.2000  179.3000  179.4000  179.5000  179.6000  179.7000

  Columns 799 through 805

  179.8000  179.9000  180.0000  180.1000  180.2000  180.3000  180.4000

  Columns 806 through 812

  180.5000  180.6000  180.7000  180.8000  180.9000  181.0000  181.1000

  Columns 813 through 819

  181.2000  181.3000  181.4000  181.5000  181.6000  181.7000  181.8000

  Columns 820 through 826

  181.9000  182.0000  182.1000  182.2000  182.3000  182.4000  182.5000

  Columns 827 through 833

  182.6000  182.7000  182.8000  182.9000  183.0000  183.1000  183.2000

  Columns 834 through 840

  183.3000  183.4000  183.5000  183.6000  183.7000  183.8000  183.9000

  Columns 841 through 847

  184.0000  184.1000  184.2000  184.3000  184.4000  184.5000  184.6000

  Columns 848 through 854

  184.7000  184.8000  184.9000  185.0000  185.1000  185.2000  185.3000

  Columns 855 through 861

  185.4000  185.5000  185.6000  185.7000  185.8000  185.9000  186.0000

  Columns 862 through 868

  186.1000  186.2000  186.3000  186.4000  186.5000  186.6000  186.7000

  Columns 869 through 875

  186.8000  186.9000  187.0000  187.1000  187.2000  187.3000  187.4000

  Columns 876 through 882

  187.5000  187.6000  187.7000  187.8000  187.9000  188.0000  188.1000

  Columns 883 through 889

  188.2000  188.3000  188.4000  188.5000  188.6000  188.7000  188.8000

  Columns 890 through 896

  188.9000  189.0000  189.1000  189.2000  189.3000  189.4000  189.5000

  Columns 897 through 903

  189.6000  189.7000  189.8000  189.9000  190.0000  190.1000  190.2000

  Columns 904 through 910

  190.3000  190.4000  190.5000  190.6000  190.7000  190.8000  190.9000

  Columns 911 through 917

  191.0000  191.1000  191.2000  191.3000  191.4000  191.5000  191.6000

  Columns 918 through 924

  191.7000  191.8000  191.9000  192.0000  192.1000  192.2000  192.3000

  Columns 925 through 931

  192.4000  192.5000  192.6000  192.7000  192.8000  192.9000  193.0000

  Columns 932 through 938

  193.1000  193.2000  193.3000  193.4000  193.5000  193.6000  193.7000

  Columns 939 through 945

  193.8000  193.9000  194.0000  194.1000  194.2000  194.3000  194.4000

  Columns 946 through 952

  194.5000  194.6000  194.7000  194.8000  194.9000  195.0000  195.1000

  Columns 953 through 959

  195.2000  195.3000  195.4000  195.5000  195.6000  195.7000  195.8000

  Columns 960 through 966

  195.9000  196.0000  196.1000  196.2000  196.3000  196.4000  196.5000

  Columns 967 through 973

  196.6000  196.7000  196.8000  196.9000  197.0000  197.1000  197.2000

  Columns 974 through 980

  197.3000  197.4000  197.5000  197.6000  197.7000  197.8000  197.9000

  Columns 981 through 987

  198.0000  198.1000  198.2000  198.3000  198.4000  198.5000  198.6000

  Columns 988 through 994

  198.7000  198.8000  198.9000  199.0000  199.1000  199.2000  199.3000

  Columns 995 through 1000

  199.4000  199.5000  199.6000  199.7000  199.8000  199.9000

>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2001, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 1900.0999 ms
Reading 19010 points, or 1901 ms of data.
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2002, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 1900.0999 ms
Reading 19020 points, or 1902 ms of data.
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 3002, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 1900.0999 ms
Reading 29020 points, or 2901.9999 ms of data.
>> size(dat)

ans =

       19001           1

>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 3002, 'b');
{??? Error: File: /home/cengiz/work/cen_matlab/readgenbin.m Line: 88 Column: 75
Unbalanced or unexpected parenthesis or bracket.
} 
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 3002, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
{??? Error using ==> readgenbin at 88
end_time is past end of file!
} 
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2001, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 19010 points, or 1901 ms of data.
>> size(dat)

ans =

       19001           1

>> size(t)

ans =

           1       19010

>> help fread
 FREAD  Read binary data from file.
    A = FREAD(FID) reads binary data from the specified file 
    and writes it into matrix A.  FID is an integer file 
    identifier obtained from FOPEN.  MATLAB reads the entire 
    file and positions the file pointer at the end of the file 
    (see FEOF for details).
 
    A = FREAD(FID,SIZE) reads the number of elements specified 
    by SIZE.  Valid entries for SIZE are:
        N      read N elements into a column vector.
        inf    read to the end of the file.
        [M,N]  read elements to fill an M-by-N matrix, in column order.
               N can be inf, but M can't.
 
    A = FREAD(FID,SIZE,PRECISION) reads the file according to
    the data format specified by the string PRECISION.  The 
    PRECISION input commonly contains a datatype specifier like 
    'int' or 'float', followed by an integer giving the size in
    bits.  The SIZE argument is optional when using this syntax.
 
    Any of the following strings, either the MATLAB version, or 
    their C or Fortran equivalent, may be used.  If not specified, 
    the default precision is 'uint8'.
        MATLAB    C or Fortran     Description
        'uchar'   'unsigned char'  unsigned integer,  8 bits.
        'schar'   'signed char'    signed integer,  8 bits.
        'int8'    'integer*1'      integer, 8 bits.
        'int16'   'integer*2'      integer, 16 bits.
        'int32'   'integer*4'      integer, 32 bits.
        'int64'   'integer*8'      integer, 64 bits.
        'uint8'   'integer*1'      unsigned integer, 8 bits.
        'uint16'  'integer*2'      unsigned integer, 16 bits.
        'uint32'  'integer*4'      unsigned integer, 32 bits.
        'uint64'  'integer*8'      unsigned integer, 64 bits.
        'single'  'real*4'         floating point, 32 bits.
        'float32' 'real*4'         floating point, 32 bits.
        'double'  'real*8'         floating point, 64 bits.
        'float64' 'real*8'         floating point, 64 bits.
 
    The following platform dependent formats are also supported but
    they are not guaranteed to be the same size on all platforms.
 
        MATLAB    C or Fortran     Description
        'char'    'char*1'         character.
        'short'   'short'          integer,  16 bits.
        'int'     'int'            integer,  32 bits.
        'long'    'long'           integer,  32 or 64 bits.
        'ushort'  'unsigned short' unsigned integer,  16 bits.
        'uint'    'unsigned int'   unsigned integer,  32 bits.
        'ulong'   'unsigned long'  unsigned integer,  32 bits or 64 bits.
        'float'   'float'          floating point, 32 bits.
 
    If the precision is 'char' or 'char*1', MATLAB reads characters 
    using the encoding scheme associated with the file. See FOPEN 
    for more information.
 
    The following formats map to an input stream of bits rather than
    bytes.
 
        'bitN'                     signed integer, N bits  (1<=N<=64).
        'ubitN'                    unsigned integer, N bits (1<=N<=64).
 
    If the input stream is bytes and FREAD reaches the end of file
    (see FEOF) in the middle of reading the number of bytes required
    for an element, the partial result is ignored. However, if the
    input stream is bits, then the partial result is returned as the
    last value.  If an error occurs before reaching the end of file,
    only full elements read up to that point are used.
 
    By default, numeric and character values are returned in class 
    'double' arrays. To return these values stored in classes other 
    than double, create your PRECISION argument by first specifying 
    your source format, then following it by '=>', and finally 
    specifying your destination format. If the source and destination 
    formats are the same then the following shorthand notation may be 
    used:
 
        *source
 
    which means:
 
        source=>source
 
    For example,
 
        uint8=>uint8               read in unsigned 8-bit integers and
                                   save them in an unsigned 8-bit integer
                                   array
 
        *uint8                     shorthand version of previous example
 
        bit4=>int8                 read in signed 4-bit integers packed
                                   in bytes and save them in a signed
                                   8-bit integer array (each 4-bit
                                   integer becomes one 8-bit integer)
 
        double=>real*4             read in doubles, convert and save
                                   as a 32-bit floating point array
 
    A = FREAD(FID,SIZE,PRECISION,SKIP) includes a SKIP argument that
    specifies the number of bytes to skip after each PRECISION value
    is read. If PRECISION specifies a bit source format, like 'bitN' or 
    'ubitN', the SKIP argument is interpreted as the number of bits to
    skip.  The SIZE argument is optional when using this syntax.
 
    When SKIP is used, the PRECISION string may contain a positive
    integer repetition factor of the form 'N*' which prepends the source
    format of the PRECISION argument, like '40*uchar'.  Note that 40*uchar
    for the PRECISION alone is equivalent to '40*uchar=>double', not 
    '40*uchar=>uchar'.  With SKIP specified, FREAD reads in, at most, a 
    repetition factor number of values (default of 1), does a skip of 
    input specified by the SKIP argument, reads in another block of values
    and does a skip of input, etc. until SIZE number of values have been 
    read.  If a SKIP argument is not specified, the repetition factor is 
    ignored.  Repetition with skip is useful for extracting data in 
    noncontiguous fields from fixed length records.
 
    For example,
 
        s = fread(fid,120,'40*uchar=>uchar',8);
 
    reads in 120 characters in blocks of 40 each separated by 8 
    characters.
 
    A = FREAD(FID,SIZE,PRECISION,SKIP,MACHINEFORMAT) treats the data 
    read as having a format given by the string MACHINEFORMAT. You 
    can obtain the MACHINEFORMAT argument from the output of the 
    FOPEN function. See FOPEN for possible values for MACHINEFORMAT.
    The SIZE and SKIP arguments are optional when using this syntax.
    
    [A, COUNT] = FREAD(...) Optional output argument COUNT returns
    the number of elements successfully read.
 
    Examples:
 
    The file alphabet.txt contains the 26 letters of the English 
    alphabet, all capitalized. Open the file for read access with 
    fopen, and read the first five elements into output c. Because 
    a precision has not been specified, MATLAB uses the default 
    precision of uchar, and the output is numeric: 
 
    fid = fopen('alphabet.txt', 'r');
    c = fread(fid, 5)'
    c =
        65    66    67    68    69
    fclose(fid);
 
    This time, specify that you want each element read as an unsigned 
    8-bit integer and output as a character. (Using a precision of 
    'char=>char' or '*char' will produce the same result): 
 
    fid = fopen('alphabet.txt', 'r');
    c = fread(fid, 5, 'uint8=>char')'
    c =
        ABCDE
    fclose(fid);
 
    See also fwrite, fseek, fscanf, fgetl, fgets, load, fopen, feof.

    Overloaded methods:
       serial/fread
       icinterface/fread

    Reference page in Help browser
       doc fread

>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2001, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 19010 points, or 1901 ms of data.
{Warning: Short read!} 
> In readgenbin at 98
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2001, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 19010 points, or 1901 ms of data.
{Warning: Short read! 19001 < 19010} 
> In readgenbin at 98
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2002, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 19020 points, or 1902 ms of data.
{Warning: Short read! 19001 < 19020} 
> In readgenbin at 98
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2003, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 19030 points, or 1903 ms of data.
{Warning: Short read! 19001 < 19030} 
> In readgenbin at 98
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2003, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
{??? Error using ==> readgenbin at 88
end_time is past end of file!
} 
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2001, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
{??? Error using ==> readgenbin at 88
end_time is past end of file!
} 
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2000, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 19000 points, or 1900 ms of data.
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2000.1, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 19001 points, or 1900.1 ms of data.
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2000.2, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 19002 points, or 1900.2 ms of data.
{Warning: Short read! 19001 < 19002} 
> In readgenbin at 98
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2000.2, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
{??? Error using ==> readgenbin at 88
end_time is past end of file!
} 
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2000.1, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 19001 points, or 1900.1 ms of data.
>> size(dat)

ans =

       19001           1

>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, NaN, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 18001 points, or 1800.1 ms of data.
>> size(dat)

ans =

       18001           1

>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, NaN, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 19001 points, or 1900.1 ms of data.
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2000, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 19000 points, or 1900 ms of data.
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', 100, 2000.1, 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 19001 points, or 1900.1 ms of data.
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 841827934361976490164224 Hz
{??? Error using ==> readgenbin at 55
Frequency outside bounds  1 - 1,000,000 Hz. Make sure to  select the correct
endian parameter!
} 
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 841827934361976490164224 Hz
{??? Error using ==> readgenbin at 55
Frequency outside bounds  1 - 1,000,000 Hz. Make sure to  select the correct
endian parameter!
} 
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', [], [], []);
{??? Operands to the || and && operators must be convertible to logical scalar
values.

Error in ==> readgenbin at 36
if ~exist('endian', 'var') || isnan(endian) || isempty(endian)
} 
>> help isempty
 ISEMPTY True for empty array.
    ISEMPTY(X) returns 1 if X is an empty array and 0 otherwise. An
    empty array has no elements, that is prod(size(X))==0.

    Overloaded methods:
       timer/isempty
       tscollection/isempty
       fittype/isempty
       dataset/isempty
       categorical/isempty
       codistributed/isempty
       Composite/isempty

    Reference page in Help browser
       doc isempty

>> help logic

logic not found.

Use the Help browser search field to search the documentation, or
type "help help" for help command options, such as help for methods.

>> help logical
 LOGICAL Convert numeric values to logical.
    LOGICAL(X) converts the elements of the array X into logicals,
    thus returning an array that can be used for logical indexing
    or logical tests.  logicals can have the values 0 and 1 corresponding
    to false and true, respectively.  Any non-zero real element of input
    array X is converted to a logical 1 while zeros in X become logical 0.
    Complex values and NaNs cannot be converted to logicals and will
    result in a conversion error.  logical arrays can also be created
    using the creation functions TRUE and FALSE.
 
    Because logical arrays are returned by the logical operators (&,|,~)
    and the relational operators (==,~=,<,<=,>=,>), as well as by
    functions like ANY, ALL, ISNAN, ISINF, ISFINITE, ISEMPTY, ISEQUAL,
    etc., it is unusual to need to invoke the LOGICAL function itself.
 
    The term "logical indexing" refers to any indexing operation where
    the index expression is a logical array, in which case the index is
    treated as a mask that selects elements from the indexed array.  In
    essence, it is a short-hand notation for A(FIND(B)) that enables us
    to simply write A(B) when B is a logical array.  The result is the
    elements of A at the indices where B is one.  It is often convenient
    to derive the index expression from the indexed data itself.  For
    example, the positive elements of a vector A can be obtained using
    A(A>0).
 
    Logicals can be combined with doubles in arithmetic operations and
    will produce results that are of type double.  You can convert a
    logical to any other numeric data type using the appropriate
    conversion function.  For example, double(A) converts the logical
    array A into a double array.
 
    See also islogical, false, true, relop, ops.

    Overloaded methods:
       codistributed/logical

    Reference page in Help browser
       doc logical

>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', [], [], []);
{??? Operands to the || and && operators must be convertible to logical scalar
values.

Error in ==> readgenbin at 36
if ~exist('endian', 'var') || isnan(endian) || logical(isempty(endian))
} 
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', [], [], []);
{??? Operands to the || and && operators must be convertible to logical scalar
values.

Error in ==> readgenbin at 37
if ~exist('endian', 'var') || isnan(endian)
} 
>> isnan(12)

ans =

     0

>> isnan(12) || isempty(12)

ans =

     0

>> isnan(12) || isempty([])

ans =

     1

>> isnan([]) || isempty([])
{??? Operands to the || and && operators must be convertible to logical scalar
values.
} 
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', [], [], []);
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 841827934361976490164224 Hz
{??? Error using ==> readgenbin at 55
Frequency outside bounds  1 - 1,000,000 Hz. Make sure to  select the correct
endian parameter!
} 
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', [], [], 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
>> figure; plot(t, dat)
>> [dat t] = readgenbin('~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin', [], [], 'b');
Reading ~/tmp/CompNeuroHW10/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
>> help strcmp
 STRCMP Compare strings.
    TF = STRCMP(S1,S2) compares the strings S1 and S2 and returns logical 1
    (true) if they are identical, and returns logical 0 (false) otherwise.  
 
    TF = STRCMP(S,C), compares string S to each element of cell array C,
    where S is a character vector (or a 1-by-1 cell array) and C is a cell 
    array of strings. The function returns TF, a logical array that is the 
    same size as C and contains logical 1 (true) for those elements of C 
    that are a match, and logical 0 (false) for those elements that are not. 
    The order of the two input arguments is not important.
 
    TF = STRCMP(C1,C2) compares each element of C1 to the same element in C2, 
    where C1 and C2 are equal-size cell arrays of strings. Input C1 and/or C2 
    can also be a character array having the number of rows as there are 
    cells in the cell array. The function returns TF, a logical array that
    is the same size as C1 or C2, and contains logical 1 (true) for those 
    elements of C1 and C2 that are a match, and logical 0 (false) for those
    elements that are not.
 
    When one of the inputs is a cell array, scalar expansion occurs as 
    needed.
 
    STRCMP supports international character sets.
 
    See also strncmp, strcmpi, strfind, deblank, regexp.

    Overloaded methods:
       opaque/strcmp

    Reference page in Help browser
       doc strcmp

>> help strcmpi
 STRCMPI Compare strings ignoring case.
    TF = STRCMPI(S1,S2) compares the strings S1 and S2 and returns logical 1
    (true) if they are the same except for case, and returns logical 0 (false) 
    otherwise.  
 
    TF = STRCMPI(S,C), compares string S to each element of cell array C,
    where S is a character vector (or a 1-by-1 cell array) and C is a cell 
    array of strings. The function returns TF, a logical array that is the 
    same size as C and contains logical 1 (true) for those elements of C 
    that are a match, except for case, and logical 0 (false) for those elements 
    that are not. The order of the two input arguments is not important.
 
    TF = STRCMPI(C1,C2) compares each element of C1 to the same element in C2, 
    where C1 and C2 are equal-size cell arrays of strings. Input C1 and/or C2 
    can also be a character array having the number of rows as there are 
    cells in the cell array. The function returns TF, a logical array that
    is the same size as C1 or C2, and contains logical 1 (true) for those 
    elements of C1 and C2 that are a match, except for case, and logical 0 
    (false) for those elements that are not.
 
    When one of the inputs is a cell array, scalar expansion occurs as 
    needed.
 
    STRCMPI supports international character sets.
 
    See also strcmp, strncmp, strncmpi, regexpi.

    Overloaded methods:
       opaque/strcmpi

    Reference page in Help browser
       doc strcmpi

>> help exist
 EXIST  Check if variables or functions are defined.
    EXIST('A') returns:
      0 if A does not exist
      1 if A is a variable in the workspace
      2 if A is an M-file on MATLAB's search path.  It also returns 2 when
           A is the full pathname to a file or when A is the name of an
           ordinary file on MATLAB's search path
      3 if A is a MEX-file on MATLAB's search path
      4 if A is a MDL-file on MATLAB's search path
      5 if A is a built-in MATLAB function
      6 if A is a P-file on MATLAB's search path
      7 if A is a directory
      8 if A is a class (EXIST returns 0 for Java classes if you
        start MATLAB with the -nojvm option.)
 
    EXIST('A') or EXIST('A.EXT') returns 2 if a file named 'A' or 'A.EXT'
    and the extension isn't a P or MEX function extension.
 
    EXIST('A','var') checks only for variables.
    EXIST('A','builtin') checks only for built-in functions.
    EXIST('A','file') checks for files or directories.
    EXIST('A','dir') checks only for directories.
    EXIST('A','class') checks only for classes.
 
    If A specifies a filename, MATLAB attempts to locate the file, 
    examines the filename extension, and determines the value to 
    return based on the extension alone.  MATLAB does not examine 
    the contents or internal structure of the file.
 
    When searching for a directory, MATLAB finds directories that are part
    of MATLAB's search path.  They can be specified by a partial path.  It
    also finds the current working directory specified by a partial path,
    and subdirectories of the current working directory specified by
    a relative path.
 
    EXIST returns 0 if the specified instance isn't found.
 
    See also dir, what, isempty, partialpath.

    Overloaded methods:
       inline/exist
       fittype/exist
       Composite/exist

    Reference page in Help browser
       doc exist

>> figure; plot(t, dat)
>> 
>> t = trace('data1_0_pAcip.bin', 1e-4, 1e-3, 'GP sim1', struct('trace_time_start', 1000, 'scale_y', 1e3))

readgenesis: could not open file 'data1_0_pAcip.bin'
{??? Error using ==> readgenesis

readgenesis: error... see output above

Error in ==> trace.trace at 181
           data = readgenesis(data_src, channel);
} 
>> 
>> pwd

ans =

/home/cengiz/work/pandora

>> cd /home/cengiz/Documents/writings/brute-force/database-analysis-lecture/GunayEdgertonJaeger2008/runs/run_sample/data
>> t = trace('data20_0_pAcip.bin', 1e-4, 1e-3, 'GP sim1', struct('trace_time_start', 1000, 'scale_y', 1e3))

readgenesis: could not open file 'data20_0_pAcip.bin'
{??? Error using ==> readgenesis

readgenesis: error... see output above

Error in ==> trace.trace at 181
           data = readgenesis(data_src, channel);
} 
>> pwd

ans =

/home/cengiz/Documents/writings/brute-force/database-analysis-lecture/GunayEdgertonJaeger2008/runs/run_sample/data

>> ls
brute_20.save  data_20_trial_0_pAcip.bin

>> t = trace('data_20_trial_0_pAcip.bin', 1e-4, 1e-3, 'GP sim1', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_20_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=GP sim1

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'GP sim1'
    props: [1x1 struct]

>> plot(t)

ans =

     2

>> prof_trinity = getProfileAllSpikes(t)
{Warning: Error in GP sim1 ( spike#1): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#1)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#2): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#2)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#3): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#3)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#4): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#5): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in GP sim1 ( spike#8): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for GP sim1 ( spike#8)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, GP sim1

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, GP sim1

ans = 

    results: [1x1 struct]
         id: 'GP sim1'
      props: [0x0 struct]

                     ISICV: 0.0059
                 SpikeRate: 4.7368
              SpikeRateISI: 4.8843
                       avg: -64.1681
                       max: 38.5472
                       min: -70.0721
        SpikeAmplitudeMean: 88.7882
        SpikeAmplitudeMode: 88.5418
         SpikeAmplitudeSTD: 0.6131
        SpikeBaseWidthMean: 2.1973
        SpikeBaseWidthMode: 2.1194
         SpikeBaseWidthSTD: 0.1450
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.7333
         SpikeFallTimeMode: 1.7010
          SpikeFallTimeSTD: 0.0707
        SpikeFixVWidthMean: 1.1370
        SpikeFixVWidthMode: 1.1325
         SpikeFixVWidthSTD: 0.0037
           SpikeHalfVmMean: -6.0533
           SpikeHalfVmMode: -5.9603
            SpikeHalfVmSTD: 0.3675
        SpikeHalfWidthMean: 1.0712
        SpikeHalfWidthMode: 1.0644
         SpikeHalfWidthSTD: 0.0062
         SpikeInitTimeMean: 6.6382
         SpikeInitTimeMode: 6.6986
          SpikeInitTimeSTD: 0.0955
    SpikeInitVmBySlopeMean: -50.2910
    SpikeInitVmBySlopeMode: -50.8911
     SpikeInitVmBySlopeSTD: 0.3699
           SpikeInitVmMean: -50.4473
           SpikeInitVmMode: -51.8002
            SpikeInitVmSTD: 0.6665
           SpikeMaxAHPMean: 19.6204
           SpikeMaxAHPMode: 19.7919
            SpikeMaxAHPSTD: 0.6646
       SpikeMaxVmSlopeMean: 362.9439
       SpikeMaxVmSlopeMode: 338.2374
        SpikeMaxVmSlopeSTD: 19.5736
          SpikeMinTimeMean: 35.6889
          SpikeMinTimeMode: 35.6995
           SpikeMinTimeSTD: 0.0333
            SpikeMinVmMean: -70.0678
            SpikeMinVmMode: -70.0719
             SpikeMinVmSTD: 0.0028
           SpikePeakVmMean: 38.3408
           SpikePeakVmMode: 38.2260
            SpikePeakVmSTD: 0.1176
         SpikeRiseTimeMean: 0.4640
         SpikeRiseTimeMode: 0.4197
          SpikeRiseTimeSTD: 0.0758
                    Spikes: 9

>> t_NaP_2 = trace('data_21_trial_0_pAcip.bin', 1e-4, 1e-3, 'Trinity, NaP=2', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_21_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Trinity, NaP=2

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Trinity, NaP=2'
    props: [1x1 struct]

>> prof_trinity_NaP_2 = getProfileAllSpikes(t_NaP_2)
{Warning: Error in Trinity, NaP=2 ( spike#2): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 ( spike#2)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 ( spike#3): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 ( spike#3)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 ( spike#6): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 ( spike#7)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 ( spike#10): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 ( spike#10)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 ( spike#13)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 ( spike#14): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 ( spike#14)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 ( spike#16): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 ( spike#16)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 ( spike#17): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 ( spike#17)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, Trinity, NaP=2

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Trinity, NaP=2

ans = 

    results: [1x1 struct]
         id: 'Trinity, NaP=2'
      props: [0x0 struct]

                     ISICV: 0.0030
                 SpikeRate: 8.9474
              SpikeRateISI: 9.0406
                       avg: -65.2548
                       max: 38.6604
                       min: -69.6121
        SpikeAmplitudeMean: 90.4034
        SpikeAmplitudeMode: 89.6899
         SpikeAmplitudeSTD: 0.9974
        SpikeBaseWidthMean: 2.4401
        SpikeBaseWidthMode: 2.2199
         SpikeBaseWidthSTD: 0.1781
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.9235
         SpikeFallTimeMode: 1.9990
          SpikeFallTimeSTD: 0.0903
        SpikeFixVWidthMean: 1.1360
        SpikeFixVWidthMode: 1.1297
         SpikeFixVWidthSTD: 0.0052
           SpikeHalfVmMean: -7.1239
           SpikeHalfVmMode: -7.7616
            SpikeHalfVmSTD: 0.5236
        SpikeHalfWidthMean: 1.0877
        SpikeHalfWidthMode: 1.0954
         SpikeHalfWidthSTD: 0.0084
         SpikeInitTimeMean: 6.5764
         SpikeInitTimeMode: 6.6986
          SpikeInitTimeSTD: 0.1201
    SpikeInitVmBySlopeMean: -51.7864
    SpikeInitVmBySlopeMode: -52.1540
     SpikeInitVmBySlopeSTD: 0.4656
           SpikeInitVmMean: -52.3256
           SpikeInitVmMode: -53.4364
            SpikeInitVmSTD: 0.9977
           SpikeMaxAHPMean: 17.2783
           SpikeMaxAHPMode: 16.1653
            SpikeMaxAHPSTD: 1.0004
       SpikeMaxVmSlopeMean: 376.3644
       SpikeMaxVmSlopeMode: 394.3713
        SpikeMaxVmSlopeSTD: 19.4093
          SpikeMinTimeMean: 34.7235
          SpikeMinTimeMode: 34.6990
           SpikeMinTimeSTD: 0.1251
            SpikeMinVmMean: -69.6038
            SpikeMinVmMode: -69.6058
             SpikeMinVmSTD: 0.0060
           SpikePeakVmMean: 38.0778
           SpikePeakVmMode: 37.9250
            SpikePeakVmSTD: 0.2243
         SpikeRiseTimeMean: 0.5166
         SpikeRiseTimeMode: 0.4206
          SpikeRiseTimeSTD: 0.0967
                    Spikes: 17

>> plot(t_NaP_2)

ans =

     3

>> t_NaP_2_KCNQ_4_5 = trace('data_22_trial_0_pAcip.bin', 1e-4, 1e-3, 'Trinity, NaP=2 KCNQ=4.5', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_22_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Trinity, NaP=2 KCNQ=4.5

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Trinity, NaP=2 KCNQ=4.5'
    props: [1x1 struct]

>> plot(t_NaP_2_KCNQ_4_5)

ans =

     4

>> prof_trinity_NaP_2_KCNQ_4_5 = getProfileAllSpikes(t_NaP_2_KCNQ_4_5)
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#3): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#3)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#4): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#5): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#6): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#7): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#7)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#9): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#9)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#10)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#12): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#12)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#13): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#13)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#15): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#15)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#17): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#17)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, Trinity, NaP=2 KCNQ=4.5

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Trinity, NaP=2 KCNQ=4.5

ans = 

    results: [1x1 struct]
         id: 'Trinity, NaP=2 KCNQ=4.5'
      props: [0x0 struct]

                     ISICV: 0.0029
                 SpikeRate: 8.9474
              SpikeRateISI: 8.8213
                       avg: -65.5831
                       max: 38.7106
                       min: -70.0973
        SpikeAmplitudeMean: 90.2145
        SpikeAmplitudeMode: 89.5223
         SpikeAmplitudeSTD: 0.9398
        SpikeBaseWidthMean: 2.3725
        SpikeBaseWidthMode: 2.2516
         SpikeBaseWidthSTD: 0.1675
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.8765
         SpikeFallTimeMode: 1.8010
          SpikeFallTimeSTD: 0.0903
        SpikeFixVWidthMean: 1.1364
        SpikeFixVWidthMode: 1.1285
         SpikeFixVWidthSTD: 0.0045
           SpikeHalfVmMean: -6.9591
           SpikeHalfVmMode: -7.7118
            SpikeHalfVmSTD: 0.4427
        SpikeHalfWidthMean: 1.0856
        SpikeHalfWidthMode: 1.0737
         SpikeHalfWidthSTD: 0.0080
         SpikeInitTimeMean: 6.6039
         SpikeInitTimeMode: 6.6987
          SpikeInitTimeSTD: 0.1007
    SpikeInitVmBySlopeMean: -51.7411
    SpikeInitVmBySlopeMode: -52.1657
     SpikeInitVmBySlopeSTD: 0.4307
           SpikeInitVmMean: -52.0663
           SpikeInitVmMode: -53.4290
            SpikeInitVmSTD: 0.8916
           SpikeMaxAHPMean: 18.0249
           SpikeMaxAHPMode: 16.6436
            SpikeMaxAHPSTD: 0.8919
       SpikeMaxVmSlopeMean: 375.2039
       SpikeMaxVmSlopeMode: 363.6026
        SpikeMaxVmSlopeSTD: 18.3615
          SpikeMinTimeMean: 34.4471
          SpikeMinTimeMode: 34.4025
           SpikeMinTimeSTD: 0.1231
            SpikeMinVmMean: -70.0912
            SpikeMinVmMode: -70.0939
             SpikeMinVmSTD: 0.0047
           SpikePeakVmMean: 38.1482
           SpikePeakVmMode: 38.0005
            SpikePeakVmSTD: 0.1963
         SpikeRiseTimeMean: 0.4961
         SpikeRiseTimeMode: 0.4211
          SpikeRiseTimeSTD: 0.0833
                    Spikes: 17

>> prof_trinity_NaP_2.SpikeRateISI
{??? Reference to non-existent field 'SpikeRateISI'.

Error in ==> getfield at 38
    f = s.(deblank(strField)); % deblank field name

Error in ==> results_profile.get at 12
  b = getfield(struct(a), attr);

Error in ==> trace_allspikes_profile.get at 17
  b = get(a.results_profile, attr);

Error in ==> results_profile.subsref at 21
      b = get(a, index.subs);
} 
>> prof_trinity_NaP_2.results.SpikeRateISI

ans =

    9.0406

>> prof_trinity_NaP_2_KCNQ_4_5.results.SpikeRateISI

ans =

    8.8213

>> who

Your variables are:

ans                          t                            
dat                          t_NaP_2                      
prof_trinity                 t_NaP_2_KCNQ_4_5             
prof_trinity_NaP_2           
prof_trinity_NaP_2_KCNQ_4_5  

>> prof_trinity.results.SpikeRateISI

ans =

    4.8843

>> t_abdul = trace('data_23_trial_0_pAcip.bin', 1e-4, 1e-3, 'Trinity, NaP=2 KCNQ=4.5', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_23_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Trinity, NaP=2 KCNQ=4.5

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Trinity, NaP=2 KCNQ=4.5'
    props: [1x1 struct]

>> prof_abdul = getProfileAllSpikes(t_abdul)
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#1): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#1)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#2)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#3): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#3)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#4): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#6): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#7): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#7)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#8): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#8)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#10)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#12)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#13)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#14)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, Trinity, NaP=2 KCNQ=4.5

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Trinity, NaP=2 KCNQ=4.5

ans = 

    results: [1x1 struct]
         id: 'Trinity, NaP=2 KCNQ=4.5'
      props: [0x0 struct]

                     ISICV: 0.0038
                 SpikeRate: 7.3684
              SpikeRateISI: 7.2739
                       avg: -65.1707
                       max: 44.8712
                       min: -70.2393
        SpikeAmplitudeMean: 96.8411
        SpikeAmplitudeMode: 97.0537
         SpikeAmplitudeSTD: 0.5330
        SpikeBaseWidthMean: 2.2283
        SpikeBaseWidthMode: 2.2191
         SpikeBaseWidthSTD: 0.0572
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.8143
         SpikeFallTimeMode: 1.8005
          SpikeFallTimeSTD: 0.0363
        SpikeFixVWidthMean: 1.2120
        SpikeFixVWidthMode: 1.2064
         SpikeFixVWidthSTD: 0.0056
           SpikeHalfVmMean: -3.7658
           SpikeHalfVmMode: -3.8614
            SpikeHalfVmSTD: 0.2274
        SpikeHalfWidthMean: 1.1172
        SpikeHalfWidthMode: 1.1230
         SpikeHalfWidthSTD: 0.0044
         SpikeInitTimeMean: 6.7002
         SpikeInitTimeMode: 6.7004
          SpikeInitTimeSTD: 0.0232
    SpikeInitVmBySlopeMean: -52.1501
    SpikeInitVmBySlopeMode: -52.4004
     SpikeInitVmBySlopeSTD: 0.4314
           SpikeInitVmMean: -52.1864
           SpikeInitVmMode: -52.3968
            SpikeInitVmSTD: 0.4845
           SpikeMaxAHPMean: 18.0446
           SpikeMaxAHPMode: 17.8329
            SpikeMaxAHPSTD: 0.4842
       SpikeMaxVmSlopeMean: 447.3201
       SpikeMaxVmSlopeMode: 451.3534
        SpikeMaxVmSlopeSTD: 20.6668
          SpikeMinTimeMean: 31.9714
          SpikeMinTimeMode: 31.9990
           SpikeMinTimeSTD: 0.0611
            SpikeMinVmMean: -70.2309
            SpikeMinVmMode: -70.2311
             SpikeMinVmSTD: 0.0033
           SpikePeakVmMean: 44.6547
           SpikePeakVmMode: 44.6613
            SpikePeakVmSTD: 0.1035
         SpikeRiseTimeMean: 0.4140
         SpikeRiseTimeMode: 0.4196
          SpikeRiseTimeSTD: 0.0259
                    Spikes: 14

>> 
>> who

Your variables are:

ans                          t                            
dat                          t_NaP_2                      
prof_abdul                   t_NaP_2_KCNQ_4_5             
prof_trinity                 t_abdul                      
prof_trinity_NaP_2           
prof_trinity_NaP_2_KCNQ_4_5  

>> pwd

ans =

/home/cengiz/Documents/writings/brute-force/database-analysis-lecture/GunayEdgertonJaeger2008/runs/run_sample/data

>> load('../../../../gp_red_db.mat')
{??? Error using ==> load
Unable to read file ../../../../gp_red_db.mat: No such file or directory.
} 
>> load('../../../../gp_db_red.mat')
>>  dbsize(gp_db_red(gp_db_red(:, 'NaF') == 125, :))

ans =

        2187         297

>>  dbsize(gp_db_red(gp_db_red(:, 'NaF') == 1000, :))

ans =

        2187         297

>>  dbsize(gp_db_red)

ans =

       10206         297

>>  dbsize(gp_db_red(gp_db_red(:, 'PulseISICV_D200pA') > 0.25 & gp_db_red(:, 'PulseISICV_D200pA') < 0.5, :))

ans =

   250   297

>> open('/home/cengiz/Documents/teaching/Comp-Neurosci-2012/hw10/Homework_10_Gunay_clzhao_Conductance125.fig')
>> open('/home/cengiz/Documents/teaching/Comp-Neurosci-2012/hw10/Homework_10_Gunay_clzhao_hist.fig')
>> t_trinity_NaF_700 = trace('data/data_24_trial_0_pA', 1e-4, 1e-3, 'Trinity, NaP=2 KCNQ=4.5', struct('trace_time_start', 1000, 'scale_y', 1e3))
{??? Error using ==> trace.trace at 261
No matching load function found for file 'data/data_24_trial_0_pA' or specified
type ''.
} 
>> ls
brute_20.save  data_20_trial_0_pAcip_trinity.bin
brute_21.save  data_21_trial_0_pAcip_trinity_NaP_2.bin
brute_22.save  data_22_trial_0_pAcip_trinity_NaP_2_KCNQ_4_5.bin
brute_23.save  data_23_trial_0_pAcip.bin
brute_24.save  data_24_trial_0_pAcip_trinity_NaF_700.bin

>> pwd

ans =

/home/cengiz/Documents/writings/brute-force/database-analysis-lecture/GunayEdgertonJaeger2008/runs/run_sample/data

>> t_trinity_NaF_700 = trace('data_24_trial_0_pAcip_trinity_NaF_700.bin', 1e-4, 1e-3, 'Trinity, NaP=2 KCNQ=4.5', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_24_trial_0_pAcip_trinity_NaF_700.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Trinity, NaP=2 KCNQ=4.5

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Trinity, NaP=2 KCNQ=4.5'
    props: [1x1 struct]

>> prof_trinity_NaF_700 = getProfileAllSpikes(t_trinity_NaF_700)
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#1): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#1)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#2): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#2)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#4): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#5): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#6): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#7)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#8)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 KCNQ=4.5 ( spike#9): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 KCNQ=4.5 ( spike#9)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, Trinity, NaP=2 KCNQ=4.5

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Trinity, NaP=2 KCNQ=4.5

ans = 

    results: [1x1 struct]
         id: 'Trinity, NaP=2 KCNQ=4.5'
      props: [0x0 struct]

                     ISICV: 0.0059
                 SpikeRate: 4.7368
              SpikeRateISI: 5.0135
                       avg: -64.2480
                       max: 42.7261
                       min: -70.2408
        SpikeAmplitudeMean: 93.6968
        SpikeAmplitudeMode: 93.0774
         SpikeAmplitudeSTD: 0.5273
        SpikeBaseWidthMean: 2.2059
        SpikeBaseWidthMode: 2.1017
         SpikeBaseWidthSTD: 0.1073
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.7778
         SpikeFallTimeMode: 1.7990
          SpikeFallTimeSTD: 0.0667
        SpikeFixVWidthMean: 1.1826
        SpikeFixVWidthMode: 1.1760
         SpikeFixVWidthSTD: 0.0049
           SpikeHalfVmMean: -4.3341
           SpikeHalfVmMode: -4.8708
            SpikeHalfVmSTD: 0.2555
        SpikeHalfWidthMean: 1.0930
        SpikeHalfWidthMode: 1.0897
         SpikeHalfWidthSTD: 0.0047
         SpikeInitTimeMean: 6.6830
         SpikeInitTimeMode: 6.6995
          SpikeInitTimeSTD: 0.0362
    SpikeInitVmBySlopeMean: -51.1091
    SpikeInitVmBySlopeMode: -51.6006
     SpikeInitVmBySlopeSTD: 0.3636
           SpikeInitVmMean: -51.1825
           SpikeInitVmMode: -52.2491
            SpikeInitVmSTD: 0.5110
           SpikeMaxAHPMean: 19.0551
           SpikeMaxAHPMode: 17.9863
            SpikeMaxAHPSTD: 0.5115
       SpikeMaxVmSlopeMean: 400.9054
       SpikeMaxVmSlopeMode: 434.4865
        SpikeMaxVmSlopeSTD: 26.7455
          SpikeMinTimeMean: 34.2778
          SpikeMinTimeMode: 34.2995
           SpikeMinTimeSTD: 0.0441
            SpikeMinVmMean: -70.2377
            SpikeMinVmMode: -70.2407
             SpikeMinVmSTD: 0.0017
           SpikePeakVmMean: 42.5143
           SpikePeakVmMode: 42.5334
            SpikePeakVmSTD: 0.0916
         SpikeRiseTimeMean: 0.4281
         SpikeRiseTimeMode: 0.4007
          SpikeRiseTimeSTD: 0.0456
                    Spikes: 9

>> prof.results.SpikeRateISI
{??? Undefined function or variable 'prof'.
} 
>> who

Your variables are:

a_plot                       prof_trinity_NaP_2_KCNQ_4_5  
ans                          t                            
dat                          t_NaP_2                      
gp_db_red                    t_NaP_2_KCNQ_4_5             
prof_abdul                   t_abdul                      
prof_trinity                 t_trinity_NaF_700            
prof_trinity_NaF_700         
prof_trinity_NaP_2           

>> prof_trinity.results.SpikeRateISI

ans =

    4.8843

>> prof_trinity_NaF_700.results.SpikeRateISI

ans =

    5.0135

>> getProfileAllSpikes(trace('data_25', 1e-4, 1e-3, 'Trinity, NaP=2 KCNQ=4.5', struct('trace_time_start', 1000, 'scale_y', 1e3)))
{??? Error using ==> trace.trace at 261
No matching load function found for file 'data_25' or specified type ''.
} 
>> ls
brute_20.save  data_20_trial_0_pAcip_trinity.bin
brute_21.save  data_21_trial_0_pAcip_trinity_NaP_2.bin
brute_22.save  data_22_trial_0_pAcip_trinity_NaP_2_KCNQ_4_5.bin
brute_23.save  data_23_trial_0_pAcip.bin
brute_24.save  data_24_trial_0_pAcip_trinity_NaF_700.bin
brute_25.save  data_25_trial_0_pAcip_Kv4_640.bin

>> getProfileAllSpikes(trace('data_25_trial_0_pAcip_Kv4_640.bin', 1e-4, 1e-3, 'Trinity, NaP=2 KCNQ=4.5', struct('trace_time_start', 1000, 'scale_y', 1e3)))
readgenesis: data_25_trial_0_pAcip_Kv4_640.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace_allspikes_profile, Trinity, NaP=2 KCNQ=4.5

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Trinity, NaP=2 KCNQ=4.5

ans = 

    results: [1x1 struct]
         id: 'Trinity, NaP=2 KCNQ=4.5'
      props: [0x0 struct]

                     ISICV: NaN
                 SpikeRate: 0
              SpikeRateISI: 0
                       avg: -70.0726
                       max: -69.7176
                       min: -70.7298
        SpikeAmplitudeMean: NaN
        SpikeAmplitudeMode: 0
         SpikeAmplitudeSTD: NaN
        SpikeBaseWidthMean: NaN
        SpikeBaseWidthMode: 0
         SpikeBaseWidthSTD: NaN
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: NaN
         SpikeFallTimeMode: 0
          SpikeFallTimeSTD: NaN
        SpikeFixVWidthMean: NaN
        SpikeFixVWidthMode: 0
         SpikeFixVWidthSTD: NaN
           SpikeHalfVmMean: NaN
           SpikeHalfVmMode: 0
            SpikeHalfVmSTD: NaN
        SpikeHalfWidthMean: NaN
        SpikeHalfWidthMode: 0
         SpikeHalfWidthSTD: NaN
         SpikeInitTimeMean: NaN
         SpikeInitTimeMode: 0
          SpikeInitTimeSTD: NaN
    SpikeInitVmBySlopeMean: NaN
    SpikeInitVmBySlopeMode: 0
     SpikeInitVmBySlopeSTD: NaN
           SpikeInitVmMean: NaN
           SpikeInitVmMode: 0
            SpikeInitVmSTD: NaN
           SpikeMaxAHPMean: NaN
           SpikeMaxAHPMode: 0
            SpikeMaxAHPSTD: NaN
       SpikeMaxVmSlopeMean: NaN
       SpikeMaxVmSlopeMode: 0
        SpikeMaxVmSlopeSTD: NaN
          SpikeMinTimeMean: NaN
          SpikeMinTimeMode: 0
           SpikeMinTimeSTD: NaN
            SpikeMinVmMean: NaN
            SpikeMinVmMode: 0
             SpikeMinVmSTD: NaN
           SpikePeakVmMean: NaN
           SpikePeakVmMode: 0
            SpikePeakVmSTD: NaN
         SpikeRiseTimeMean: NaN
         SpikeRiseTimeMode: 0
          SpikeRiseTimeSTD: NaN
                    Spikes: 0

>> t_trinity_NaP_2_Kv4_640 = trace('data_25_trial_0_pAcip_Kv4_640.bin', 1e-4, 1e-3, 'Trinity, NaP=2 KCNQ=4.5', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_25_trial_0_pAcip_Kv4_640.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Trinity, NaP=2 KCNQ=4.5

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Trinity, NaP=2 KCNQ=4.5'
    props: [1x1 struct]

>> plot(t_trinity_NaP_2_Kv4_640)

ans =

     6

>> t_trinity_NaP_2_Kv4_620 = trace('data_26_trial_0_pAcip_NaP_2_Kv4_620.bin', 1e-4, 1e-3, 'Trinity, NaP=2 Kv4=620', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_26_trial_0_pAcip_NaP_2_Kv4_620.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Trinity, NaP=2 Kv4=620

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Trinity, NaP=2 Kv4=620'
    props: [1x1 struct]

>> plot(t_trinity_NaP_2_Kv4_620)

ans =

     7

>> t_charles = trace('data_27_trial_0_pAcip_charles.bin', 1e-4, 1e-3, 'charles', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_27_trial_0_pAcip_charles.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=charles

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'charles'
    props: [1x1 struct]

>> plot(t_charles)

ans =

     6

>> t_charles = trace('data_27_trial_0_pAcip_charles.bin', 1e-4, 1e-3, 'charles', struct('trace_time_start', 10000, 'scale_y', 1e3))
readgenesis: data_27_trial_0_pAcip_charles.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=charles

ans = 

     data: [10001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'charles'
    props: [1x1 struct]

>> plot(t_charles)

ans =

     7

>> prof_charles = getProfileAllSpikes(t_charles)
{Warning: Error in charles ( spike#1): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for charles ( spike#1)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in charles ( spike#2): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for charles ( spike#2)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in charles ( spike#3): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for charles ( spike#3)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in charles ( spike#4): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for charles ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Spike failed to repolarize.} 
> In spike_shape.calcWidthFall at 74
  In spike_shape.getResults at 120
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for charles ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in charles ( spike#6): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for charles ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in charles ( spike#7): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for charles ( spike#7)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, charles

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, charles

ans = 

    results: [1x1 struct]
         id: 'charles'
      props: [0x0 struct]

                     ISICV: 0.0013
                 SpikeRate: 7
              SpikeRateISI: 6.7950
                       avg: -64.9278
                       max: 39.8265
                       min: -70.0103
        SpikeAmplitudeMean: 91.2328
        SpikeAmplitudeMode: 91.0415
         SpikeAmplitudeSTD: 0.2956
        SpikeBaseWidthMean: 1.4433
        SpikeBaseWidthMode: 1.4295
         SpikeBaseWidthSTD: 0.0383
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.1167
         SpikeFallTimeMode: 1.1005
          SpikeFallTimeSTD: 0.0408
        SpikeFixVWidthMean: 0.8394
        SpikeFixVWidthMode: 0.8318
         SpikeFixVWidthSTD: 0.0054
           SpikeHalfVmMean: -5.7608
           SpikeHalfVmMode: -5.9961
            SpikeHalfVmSTD: 0.2038
        SpikeHalfWidthMean: 0.7898
        SpikeHalfWidthMode: 0.7849
         SpikeHalfWidthSTD: 0.0042
         SpikeInitTimeMean: 6.7571
         SpikeInitTimeMode: 6.7995
          SpikeInitTimeSTD: 0.0450
    SpikeInitVmBySlopeMean: -51.3635
    SpikeInitVmBySlopeMode: -51.0961
     SpikeInitVmBySlopeSTD: 0.3076
           SpikeInitVmMean: -51.3635
           SpikeInitVmMode: -51.0961
            SpikeInitVmSTD: 0.3076
           SpikeMaxAHPMean: 18.6149
           SpikeMaxAHPMode: 18.9127
            SpikeMaxAHPSTD: 0.3252
       SpikeMaxVmSlopeMean: 393.7415
       SpikeMaxVmSlopeMode: 353.6406
        SpikeMaxVmSlopeSTD: 31.2838
          SpikeMinTimeMean: 23.2000
          SpikeMinTimeMode: 23.2000
           SpikeMinTimeSTD: 0
            SpikeMinVmMean: -70.0082
            SpikeMinVmMode: -70.0088
             SpikeMinVmSTD: 0.0013
           SpikePeakVmMean: 39.8693
           SpikePeakVmMode: 40.0206
            SpikePeakVmSTD: 0.1447
         SpikeRiseTimeMean: 0.3200
         SpikeRiseTimeMode: 0.2805
          SpikeRiseTimeSTD: 0.0412
                    Spikes: 7

>> dbsize(gp_red_db(gp_red_db(:, 'CaHVA') == 3, :))
{??? Undefined variable gp_red_db.
} 
>> who

Your variables are:

a_plot                       t                            
ans                          t_NaP_2                      
dat                          t_NaP_2_KCNQ_4_5             
gp_db_red                    t_abdul                      
prof_abdul                   t_charles                    
prof_charles                 t_trinity_NaF_700            
prof_trinity                 t_trinity_NaP_2_Kv4_620      
prof_trinity_NaF_700         t_trinity_NaP_2_Kv4_640      
prof_trinity_NaP_2           
prof_trinity_NaP_2_KCNQ_4_5  

>> dbsize(gp_db_red(gp_db_red(:, 'CaHVA') == 3, :))

ans =

        3402         297

>> dbsize(gp_db_red(gp_db_red(:, 'PulseISICV_D200pA') > 0.3 & gp_db_red(:, 'PulseISICV_D200pA') < 3, :))

ans =

   350   297

>>  invar_db = invarParam(delColumns(gp_db_red, 'trial'), 'KCNQ')
tests_3D_db, Invariant values from sim db gpsc0503 mult CIP
tests_db, Invariant values from sim db gpsc0503 mult CIP
4 rows in database with 288 columns, and 2916 pages.
Column names:
    [  1]    'KCNQ'                                 
    [  2]    'IniSpontSpikeRateISI_H100pA'          
    [  3]    'PulseISICV_H100pA'                    
    [  4]    'PulseSFA_H100pA'                      
    [  5]    'PulseIni100msISICV_H100pA'            
    [  6]    'PulseIni100msRest1SpikeRate_H100pA'   
    [  7]    'PulseIni100msRest2SpikeRate_H100pA'   
    [  8]    'PulseIni100msRest1SpikeRateISI_H100pA'
    [  9]    'PulseIni100msRest2SpikeRateISI_H100pA'
    [ 10]    'PulseIni100msSpikeRate_H100pA'        
    [ 11]    'PulseIni100msSpikeRateISI_H100pA'     
    [ 12]    'PulsePotAvg_H100pA'                   
    [ 13]    'PulseSpikeAmpDecayTau_H100pA'         
    [ 14]    'PulseSpikeAmpDecayDelta_H100pA'       
    [ 15]    'PulseSpontAmpRatio_H100pA'            
    [ 16]    'PulsePotMin_H100pA'                   
    [ 17]    'PulsePotMinTime_H100pA'               
    [ 18]    'PulsePotSag_H100pA'                   
    [ 19]    'PulsePotTau_H100pA'                   
    [ 20]    'RecSpont1SpikeRate_H100pA'            
    [ 21]    'RecSpont2SpikeRate_H100pA'            
    [ 22]    'RecSpont1SpikeRateISI_H100pA'         
    [ 23]    'RecSpont2SpikeRateISI_H100pA'         
    [ 24]    'RecSpontFirstISI_H100pA'              
    [ 25]    'RecSpontFirstSpikeTime_H100pA'        
    [ 26]    'RecSpontISICV_H100pA'                 
    [ 27]    'RecSpontPotAvg_H100pA'                
    [ 28]    'RecovSpikeAmplitudeMean_H100pA'       
    [ 29]    'RecovSpikeAmplitudeMode_H100pA'       
    [ 30]    'RecovSpikeAmplitudeSTD_H100pA'        
    [ 31]    'RecovSpikeBaseWidthMean_H100pA'       
    [ 32]    'RecovSpikeBaseWidthMode_H100pA'       
    [ 33]    'RecovSpikeBaseWidthSTD_H100pA'        
    [ 34]    'RecovSpikeFallTimeMean_H100pA'        
    [ 35]    'RecovSpikeFallTimeMode_H100pA'        
    [ 36]    'RecovSpikeFallTimeSTD_H100pA'         
    [ 37]    'RecovSpikeHalfWidthMean_H100pA'       
    [ 38]    'RecovSpikeHalfWidthMode_H100pA'       
    [ 39]    'RecovSpikeHalfWidthSTD_H100pA'        
    [ 40]    'RecovSpikeInitVmBySlopeMean_H100pA'   
    [ 41]    'RecovSpikeInitVmBySlopeMode_H100pA'   
    [ 42]    'RecovSpikeInitVmBySlopeSTD_H100pA'    
    [ 43]    'RecovSpikeInitVmMean_H100pA'          
    [ 44]    'RecovSpikeInitVmMode_H100pA'          
    [ 45]    'RecovSpikeInitVmSTD_H100pA'           
    [ 46]    'RecovSpikeMaxAHPMean_H100pA'          
    [ 47]    'RecovSpikeMaxAHPMode_H100pA'          
    [ 48]    'RecovSpikeMaxAHPSTD_H100pA'           
    [ 49]    'RecovSpikeMaxVmSlopeMean_H100pA'      
    [ 50]    'RecovSpikeMaxVmSlopeMode_H100pA'      
    [ 51]    'RecovSpikeMaxVmSlopeSTD_H100pA'       
    [ 52]    'RecovSpikeMinTimeMean_H100pA'         
    [ 53]    'RecovSpikeMinTimeMode_H100pA'         
    [ 54]    'RecovSpikeMinTimeSTD_H100pA'          
    [ 55]    'RecovSpikeRiseTimeMean_H100pA'        
    [ 56]    'RecovSpikeRiseTimeMode_H100pA'        
    [ 57]    'RecovSpikeRiseTimeSTD_H100pA'         
    [ 58]    'IniSpontISICV_0pA'                    
    [ 59]    'IniSpontPotAvg_0pA'                   
    [ 60]    'IniSpontSpikeRate_0pA'                
    [ 61]    'IniSpontSpikeRateISI_0pA'             
    [ 62]    'SpontSpikeAmplitudeMean_0pA'          
    [ 63]    'SpontSpikeAmplitudeMode_0pA'          
    [ 64]    'SpontSpikeAmplitudeSTD_0pA'           
    [ 65]    'SpontSpikeBaseWidthMean_0pA'          
    [ 66]    'SpontSpikeBaseWidthMode_0pA'          
    [ 67]    'SpontSpikeBaseWidthSTD_0pA'           
    [ 68]    'SpontSpikeFallTimeMean_0pA'           
    [ 69]    'SpontSpikeFallTimeMode_0pA'           
    [ 70]    'SpontSpikeFallTimeSTD_0pA'            
    [ 71]    'SpontSpikeHalfWidthMean_0pA'          
    [ 72]    'SpontSpikeHalfWidthMode_0pA'          
    [ 73]    'SpontSpikeHalfWidthSTD_0pA'           
    [ 74]    'SpontSpikeInitVmBySlopeMean_0pA'      
    [ 75]    'SpontSpikeInitVmBySlopeMode_0pA'      
    [ 76]    'SpontSpikeInitVmBySlopeSTD_0pA'       
    [ 77]    'SpontSpikeInitVmMean_0pA'             
    [ 78]    'SpontSpikeInitVmMode_0pA'             
    [ 79]    'SpontSpikeInitVmSTD_0pA'              
    [ 80]    'SpontSpikeMaxAHPMean_0pA'             
    [ 81]    'SpontSpikeMaxAHPMode_0pA'             
    [ 82]    'SpontSpikeMaxAHPSTD_0pA'              
    [ 83]    'SpontSpikeMaxVmSlopeMean_0pA'         
    [ 84]    'SpontSpikeMaxVmSlopeMode_0pA'         
    [ 85]    'SpontSpikeMaxVmSlopeSTD_0pA'          
    [ 86]    'SpontSpikeMinTimeMean_0pA'            
    [ 87]    'SpontSpikeMinTimeMode_0pA'            
    [ 88]    'SpontSpikeMinTimeSTD_0pA'             
    [ 89]    'SpontSpikeRiseTimeMean_0pA'           
    [ 90]    'SpontSpikeRiseTimeMode_0pA'           
    [ 91]    'SpontSpikeRiseTimeSTD_0pA'            
    [ 92]    'PulseISICV_D40pA'                     
    [ 93]    'PulseSFA_D40pA'                       
    [ 94]    'PulseIni100msISICV_D40pA'             
    [ 95]    'PulseIni100msRest1SpikeRate_D40pA'    
    [ 96]    'PulseIni100msRest2SpikeRate_D40pA'    
    [ 97]    'PulseIni100msRest1SpikeRateISI_D40pA' 
    [ 98]    'PulseIni100msRest2SpikeRateISI_D40pA' 
    [ 99]    'PulseIni100msSpikeRate_D40pA'         
    [100]    'PulseIni100msSpikeRateISI_D40pA'      
    [101]    'PulsePotAvg_D40pA'                    
    [102]    'PulseSpikeAmpDecayTau_D40pA'          
    [103]    'PulseSpikeAmpDecayDelta_D40pA'        
    [104]    'RecIniSpontPotRatio_D40pA'            
    [105]    'RecIniSpontRateRatio_D40pA'           
    [106]    'RecSpont1SpikeRate_D40pA'             
    [107]    'RecSpont2SpikeRate_D40pA'             
    [108]    'RecSpont1SpikeRateISI_D40pA'          
    [109]    'RecSpont2SpikeRateISI_D40pA'          
    [110]    'RecSpontFirstISI_D40pA'               
    [111]    'RecSpontFirstSpikeTime_D40pA'         
    [112]    'RecSpontISICV_D40pA'                  
    [113]    'RecSpontPotAvg_D40pA'                 
    [114]    'PulseSpikeAmplitudeMean_D40pA'        
    [115]    'PulseSpikeAmplitudeMode_D40pA'        
    [116]    'PulseSpikeAmplitudeSTD_D40pA'         
    [117]    'PulseSpikeBaseWidthMean_D40pA'        
    [118]    'PulseSpikeBaseWidthMode_D40pA'        
    [119]    'PulseSpikeBaseWidthSTD_D40pA'         
    [120]    'PulseSpikeFallTimeMean_D40pA'         
    [121]    'PulseSpikeFallTimeMode_D40pA'         
    [122]    'PulseSpikeFallTimeSTD_D40pA'          
    [123]    'PulseSpikeHalfWidthMean_D40pA'        
    [124]    'PulseSpikeHalfWidthMode_D40pA'        
    [125]    'PulseSpikeHalfWidthSTD_D40pA'         
    [126]    'PulseSpikeInitVmBySlopeMean_D40pA'    
    [127]    'PulseSpikeInitVmBySlopeMode_D40pA'    
    [128]    'PulseSpikeInitVmBySlopeSTD_D40pA'     
    [129]    'PulseSpikeInitVmMean_D40pA'           
    [130]    'PulseSpikeInitVmMode_D40pA'           
    [131]    'PulseSpikeInitVmSTD_D40pA'            
    [132]    'PulseSpikeMaxAHPMean_D40pA'           
    [133]    'PulseSpikeMaxAHPMode_D40pA'           
    [134]    'PulseSpikeMaxAHPSTD_D40pA'            
    [135]    'PulseSpikeMaxVmSlopeMean_D40pA'       
    [136]    'PulseSpikeMaxVmSlopeMode_D40pA'       
    [137]    'PulseSpikeMaxVmSlopeSTD_D40pA'        
    [138]    'PulseSpikeMinTimeMean_D40pA'          
    [139]    'PulseSpikeMinTimeMode_D40pA'          
    [140]    'PulseSpikeMinTimeSTD_D40pA'           
    [141]    'PulseSpikeRiseTimeMean_D40pA'         
    [142]    'PulseSpikeRiseTimeMode_D40pA'         
    [143]    'PulseSpikeRiseTimeSTD_D40pA'          
    [144]    'PulseISICV_D100pA'                    
    [145]    'PulseSFA_D100pA'                      
    [146]    'PulseIni100msISICV_D100pA'            
    [147]    'PulseIni100msRest1SpikeRate_D100pA'   
    [148]    'PulseIni100msRest2SpikeRate_D100pA'   
    [149]    'PulseIni100msRest1SpikeRateISI_D100pA'
    [150]    'PulseIni100msRest2SpikeRateISI_D100pA'
    [151]    'PulseIni100msSpikeRate_D100pA'        
    [152]    'PulseIni100msSpikeRateISI_D100pA'     
    [153]    'PulsePotAvg_D100pA'                   
    [154]    'PulseSpikeAmpDecayTau_D100pA'         
    [155]    'PulseSpikeAmpDecayDelta_D100pA'       
    [156]    'RecSpont1SpikeRate_D100pA'            
    [157]    'RecSpont2SpikeRate_D100pA'            
    [158]    'RecSpont1SpikeRateISI_D100pA'         
    [159]    'RecSpont2SpikeRateISI_D100pA'         
    [160]    'RecSpontFirstISI_D100pA'              
    [161]    'RecSpontFirstSpikeTime_D100pA'        
    [162]    'RecSpontISICV_D100pA'                 
    [163]    'RecSpontPotAvg_D100pA'                
    [164]    'PulseSpikeAmplitudeMean_D100pA'       
    [165]    'PulseSpikeAmplitudeMode_D100pA'       
    [166]    'PulseSpikeAmplitudeSTD_D100pA'        
    [167]    'PulseSpikeBaseWidthMean_D100pA'       
    [168]    'PulseSpikeBaseWidthMode_D100pA'       
    [169]    'PulseSpikeBaseWidthSTD_D100pA'        
    [170]    'PulseSpikeFallTimeMean_D100pA'        
    [171]    'PulseSpikeFallTimeMode_D100pA'        
    [172]    'PulseSpikeFallTimeSTD_D100pA'         
    [173]    'PulseSpikeHalfWidthMean_D100pA'       
    [174]    'PulseSpikeHalfWidthMode_D100pA'       
    [175]    'PulseSpikeHalfWidthSTD_D100pA'        
    [176]    'PulseSpikeInitVmBySlopeMean_D100pA'   
    [177]    'PulseSpikeInitVmBySlopeMode_D100pA'   
    [178]    'PulseSpikeInitVmBySlopeSTD_D100pA'    
    [179]    'PulseSpikeInitVmMean_D100pA'          
    [180]    'PulseSpikeInitVmMode_D100pA'          
    [181]    'PulseSpikeInitVmSTD_D100pA'           
    [182]    'PulseSpikeMaxAHPMean_D100pA'          
    [183]    'PulseSpikeMaxAHPMode_D100pA'          
    [184]    'PulseSpikeMaxAHPSTD_D100pA'           
    [185]    'PulseSpikeMaxVmSlopeMean_D100pA'      
    [186]    'PulseSpikeMaxVmSlopeMode_D100pA'      
    [187]    'PulseSpikeMaxVmSlopeSTD_D100pA'       
    [188]    'PulseSpikeMinTimeMean_D100pA'         
    [189]    'PulseSpikeMinTimeMode_D100pA'         
    [190]    'PulseSpikeMinTimeSTD_D100pA'          
    [191]    'PulseSpikeRiseTimeMean_D100pA'        
    [192]    'PulseSpikeRiseTimeMode_D100pA'        
    [193]    'PulseSpikeRiseTimeSTD_D100pA'         
    [194]    'RecovSpikeAmplitudeMean_D100pA'       
    [195]    'RecovSpikeAmplitudeMode_D100pA'       
    [196]    'RecovSpikeAmplitudeSTD_D100pA'        
    [197]    'RecovSpikeBaseWidthMean_D100pA'       
    [198]    'RecovSpikeBaseWidthMode_D100pA'       
    [199]    'RecovSpikeBaseWidthSTD_D100pA'        
    [200]    'RecovSpikeFallTimeMean_D100pA'        
    [201]    'RecovSpikeFallTimeMode_D100pA'        
    [202]    'RecovSpikeFallTimeSTD_D100pA'         
    [203]    'RecovSpikeHalfWidthMean_D100pA'       
    [204]    'RecovSpikeHalfWidthMode_D100pA'       
    [205]    'RecovSpikeHalfWidthSTD_D100pA'        
    [206]    'RecovSpikeInitVmBySlopeMean_D100pA'   
    [207]    'RecovSpikeInitVmBySlopeMode_D100pA'   
    [208]    'RecovSpikeInitVmBySlopeSTD_D100pA'    
    [209]    'RecovSpikeInitVmMean_D100pA'          
    [210]    'RecovSpikeInitVmMode_D100pA'          
    [211]    'RecovSpikeInitVmSTD_D100pA'           
    [212]    'RecovSpikeMaxAHPMean_D100pA'          
    [213]    'RecovSpikeMaxAHPMode_D100pA'          
    [214]    'RecovSpikeMaxAHPSTD_D100pA'           
    [215]    'RecovSpikeMaxVmSlopeMean_D100pA'      
    [216]    'RecovSpikeMaxVmSlopeMode_D100pA'      
    [217]    'RecovSpikeMaxVmSlopeSTD_D100pA'       
    [218]    'RecovSpikeMinTimeMean_D100pA'         
    [219]    'RecovSpikeMinTimeMode_D100pA'         
    [220]    'RecovSpikeMinTimeSTD_D100pA'          
    [221]    'RecovSpikeRiseTimeMean_D100pA'        
    [222]    'RecovSpikeRiseTimeMode_D100pA'        
    [223]    'RecovSpikeRiseTimeSTD_D100pA'         
    [224]    'PulseISICV_D200pA'                    
    [225]    'PulseSFA_D200pA'                      
    [226]    'PulseIni100msISICV_D200pA'            
    [227]    'PulseIni100msRest1SpikeRate_D200pA'   
    [228]    'PulseIni100msRest2SpikeRate_D200pA'   
    [229]    'PulseIni100msRest1SpikeRateISI_D200pA'
    [230]    'PulseIni100msRest2SpikeRateISI_D200pA'
    [231]    'PulseIni100msSpikeRate_D200pA'        
    [232]    'PulseIni100msSpikeRateISI_D200pA'     
    [233]    'PulsePotAvg_D200pA'                   
    [234]    'PulseSpikeAmpDecayTau_D200pA'         
    [235]    'PulseSpikeAmpDecayDelta_D200pA'       
    [236]    'RecIniSpontPotRatio_D200pA'           
    [237]    'RecIniSpontRateRatio_D200pA'          
    [238]    'RecSpont1SpikeRate_D200pA'            
    [239]    'RecSpont2SpikeRate_D200pA'            
    [240]    'RecSpont1SpikeRateISI_D200pA'         
    [241]    'RecSpont2SpikeRateISI_D200pA'         
    [242]    'RecSpontFirstISI_D200pA'              
    [243]    'RecSpontFirstSpikeTime_D200pA'        
    [244]    'RecSpontISICV_D200pA'                 
    [245]    'RecSpontPotAvg_D200pA'                
    [246]    'PulseSpikeAmplitudeMean_D200pA'       
    [247]    'PulseSpikeAmplitudeMode_D200pA'       
    [248]    'PulseSpikeAmplitudeSTD_D200pA'        
    [249]    'PulseSpikeBaseWidthMean_D200pA'       
    [250]    'PulseSpikeBaseWidthMode_D200pA'       
    [251]    'PulseSpikeBaseWidthSTD_D200pA'        
    [252]    'PulseSpikeFallTimeMean_D200pA'        
    [253]    'PulseSpikeFallTimeMode_D200pA'        
    [254]    'PulseSpikeFallTimeSTD_D200pA'         
    [255]    'PulseSpikeHalfWidthMean_D200pA'       
    [256]    'PulseSpikeHalfWidthMode_D200pA'       
    [257]    'PulseSpikeHalfWidthSTD_D200pA'        
    [258]    'PulseSpikeInitVmBySlopeMean_D200pA'   
    [259]    'PulseSpikeInitVmBySlopeMode_D200pA'   
    [260]    'PulseSpikeInitVmBySlopeSTD_D200pA'    
    [261]    'PulseSpikeInitVmMean_D200pA'          
    [262]    'PulseSpikeInitVmMode_D200pA'          
    [263]    'PulseSpikeInitVmSTD_D200pA'           
    [264]    'PulseSpikeMaxAHPMean_D200pA'          
    [265]    'PulseSpikeMaxAHPMode_D200pA'          
    [266]    'PulseSpikeMaxAHPSTD_D200pA'           
    [267]    'PulseSpikeMaxVmSlopeMean_D200pA'      
    [268]    'PulseSpikeMaxVmSlopeMode_D200pA'      
    [269]    'PulseSpikeMaxVmSlopeSTD_D200pA'       
    [270]    'PulseSpikeMinTimeMean_D200pA'         
    [271]    'PulseSpikeMinTimeMode_D200pA'         
    [272]    'PulseSpikeMinTimeSTD_D200pA'          
    [273]    'PulseSpikeRiseTimeMean_D200pA'        
    [274]    'PulseSpikeRiseTimeMode_D200pA'        
    [275]    'PulseSpikeRiseTimeSTD_D200pA'         
    [276]    'PulsePotSagDivMin_H100pA'             
    [277]    'InputResGOhm_HpA'                     
    [278]    'InputCappF_HpA'                       
    [279]    'IniRecISIRatio_H100pA'                
    [280]    'PulseSFARatio_D100pA'                 
    [281]    'RecIniSpontRateRatio_H100pA'          
    [282]    'RecIniSpontRateRatio_D100pA'          
    [283]    'PulseSpontAmpRatio_D40pA'             
    [284]    'PulseSpontAmpRatio_D100pA'            
    [285]    'PulseSpontAmpRatio_D200pA'            
    [286]    'RecIniSpontPotRatio_H100pA'           
    [287]    'RecIniSpontPotRatio_D100pA'           
    [288]    'RowIndex'                             

Optional properties of tests_db:

ans = 

    invarName: 'KCNQ'

>> displayRows(invar_db(:, {'IniSpontSpikeRate_0pA'}, 1))

ans = 

    [1x21 char]    [0]    [0]    [0]    [NaN]

>> displayRows(invar_db(:, {'KCNQ', 'IniSpontSpikeRate_0pA'}, 1))

ans = 

    'KCNQ'         [0.0800]    [0.4000]    [2]    [NaN]
    [1x21 char]    [     0]    [     0]    [0]    [NaN]

>> displayRows(invar_db(:, {'KCNQ', 'IniSpontSpikeRate_0pA'}, 18762))
{??? Index exceeds matrix dimensions.

Error in ==> tests_db.onlyRowsTests at 50
  obj.data = obj.data(rows, cols, pages);

Error in ==> tests_db.subsref at 55
	b = onlyRowsTests(a, index.subs{1:3});
} 
>> displayRows(invar_db(:, {'KCNQ', 'IniSpontSpikeRate_0pA'}, 1876))

ans = 

    'KCNQ'         [ 0.0800]    [ 0.4000]    [     2]    [10]
    [1x21 char]    [13.0013]    [12.0012]    [7.0007]    [ 0]

>> a_stats_db = statsMeanSE(swapRowsPages(invar_db))
stats_db, Mean and SEs of Invariant values from sim db gpsc0503 mult CIP
tests_db, Mean and SEs of Invariant values from sim db gpsc0503 mult CIP
3 rows in database with 288 columns, and 4 pages.
Column names:
    [  1]    'KCNQ'                                 
    [  2]    'IniSpontSpikeRateISI_H100pA'          
    [  3]    'PulseISICV_H100pA'                    
    [  4]    'PulseSFA_H100pA'                      
    [  5]    'PulseIni100msISICV_H100pA'            
    [  6]    'PulseIni100msRest1SpikeRate_H100pA'   
    [  7]    'PulseIni100msRest2SpikeRate_H100pA'   
    [  8]    'PulseIni100msRest1SpikeRateISI_H100pA'
    [  9]    'PulseIni100msRest2SpikeRateISI_H100pA'
    [ 10]    'PulseIni100msSpikeRate_H100pA'        
    [ 11]    'PulseIni100msSpikeRateISI_H100pA'     
    [ 12]    'PulsePotAvg_H100pA'                   
    [ 13]    'PulseSpikeAmpDecayTau_H100pA'         
    [ 14]    'PulseSpikeAmpDecayDelta_H100pA'       
    [ 15]    'PulseSpontAmpRatio_H100pA'            
    [ 16]    'PulsePotMin_H100pA'                   
    [ 17]    'PulsePotMinTime_H100pA'               
    [ 18]    'PulsePotSag_H100pA'                   
    [ 19]    'PulsePotTau_H100pA'                   
    [ 20]    'RecSpont1SpikeRate_H100pA'            
    [ 21]    'RecSpont2SpikeRate_H100pA'            
    [ 22]    'RecSpont1SpikeRateISI_H100pA'         
    [ 23]    'RecSpont2SpikeRateISI_H100pA'         
    [ 24]    'RecSpontFirstISI_H100pA'              
    [ 25]    'RecSpontFirstSpikeTime_H100pA'        
    [ 26]    'RecSpontISICV_H100pA'                 
    [ 27]    'RecSpontPotAvg_H100pA'                
    [ 28]    'RecovSpikeAmplitudeMean_H100pA'       
    [ 29]    'RecovSpikeAmplitudeMode_H100pA'       
    [ 30]    'RecovSpikeAmplitudeSTD_H100pA'        
    [ 31]    'RecovSpikeBaseWidthMean_H100pA'       
    [ 32]    'RecovSpikeBaseWidthMode_H100pA'       
    [ 33]    'RecovSpikeBaseWidthSTD_H100pA'        
    [ 34]    'RecovSpikeFallTimeMean_H100pA'        
    [ 35]    'RecovSpikeFallTimeMode_H100pA'        
    [ 36]    'RecovSpikeFallTimeSTD_H100pA'         
    [ 37]    'RecovSpikeHalfWidthMean_H100pA'       
    [ 38]    'RecovSpikeHalfWidthMode_H100pA'       
    [ 39]    'RecovSpikeHalfWidthSTD_H100pA'        
    [ 40]    'RecovSpikeInitVmBySlopeMean_H100pA'   
    [ 41]    'RecovSpikeInitVmBySlopeMode_H100pA'   
    [ 42]    'RecovSpikeInitVmBySlopeSTD_H100pA'    
    [ 43]    'RecovSpikeInitVmMean_H100pA'          
    [ 44]    'RecovSpikeInitVmMode_H100pA'          
    [ 45]    'RecovSpikeInitVmSTD_H100pA'           
    [ 46]    'RecovSpikeMaxAHPMean_H100pA'          
    [ 47]    'RecovSpikeMaxAHPMode_H100pA'          
    [ 48]    'RecovSpikeMaxAHPSTD_H100pA'           
    [ 49]    'RecovSpikeMaxVmSlopeMean_H100pA'      
    [ 50]    'RecovSpikeMaxVmSlopeMode_H100pA'      
    [ 51]    'RecovSpikeMaxVmSlopeSTD_H100pA'       
    [ 52]    'RecovSpikeMinTimeMean_H100pA'         
    [ 53]    'RecovSpikeMinTimeMode_H100pA'         
    [ 54]    'RecovSpikeMinTimeSTD_H100pA'          
    [ 55]    'RecovSpikeRiseTimeMean_H100pA'        
    [ 56]    'RecovSpikeRiseTimeMode_H100pA'        
    [ 57]    'RecovSpikeRiseTimeSTD_H100pA'         
    [ 58]    'IniSpontISICV_0pA'                    
    [ 59]    'IniSpontPotAvg_0pA'                   
    [ 60]    'IniSpontSpikeRate_0pA'                
    [ 61]    'IniSpontSpikeRateISI_0pA'             
    [ 62]    'SpontSpikeAmplitudeMean_0pA'          
    [ 63]    'SpontSpikeAmplitudeMode_0pA'          
    [ 64]    'SpontSpikeAmplitudeSTD_0pA'           
    [ 65]    'SpontSpikeBaseWidthMean_0pA'          
    [ 66]    'SpontSpikeBaseWidthMode_0pA'          
    [ 67]    'SpontSpikeBaseWidthSTD_0pA'           
    [ 68]    'SpontSpikeFallTimeMean_0pA'           
    [ 69]    'SpontSpikeFallTimeMode_0pA'           
    [ 70]    'SpontSpikeFallTimeSTD_0pA'            
    [ 71]    'SpontSpikeHalfWidthMean_0pA'          
    [ 72]    'SpontSpikeHalfWidthMode_0pA'          
    [ 73]    'SpontSpikeHalfWidthSTD_0pA'           
    [ 74]    'SpontSpikeInitVmBySlopeMean_0pA'      
    [ 75]    'SpontSpikeInitVmBySlopeMode_0pA'      
    [ 76]    'SpontSpikeInitVmBySlopeSTD_0pA'       
    [ 77]    'SpontSpikeInitVmMean_0pA'             
    [ 78]    'SpontSpikeInitVmMode_0pA'             
    [ 79]    'SpontSpikeInitVmSTD_0pA'              
    [ 80]    'SpontSpikeMaxAHPMean_0pA'             
    [ 81]    'SpontSpikeMaxAHPMode_0pA'             
    [ 82]    'SpontSpikeMaxAHPSTD_0pA'              
    [ 83]    'SpontSpikeMaxVmSlopeMean_0pA'         
    [ 84]    'SpontSpikeMaxVmSlopeMode_0pA'         
    [ 85]    'SpontSpikeMaxVmSlopeSTD_0pA'          
    [ 86]    'SpontSpikeMinTimeMean_0pA'            
    [ 87]    'SpontSpikeMinTimeMode_0pA'            
    [ 88]    'SpontSpikeMinTimeSTD_0pA'             
    [ 89]    'SpontSpikeRiseTimeMean_0pA'           
    [ 90]    'SpontSpikeRiseTimeMode_0pA'           
    [ 91]    'SpontSpikeRiseTimeSTD_0pA'            
    [ 92]    'PulseISICV_D40pA'                     
    [ 93]    'PulseSFA_D40pA'                       
    [ 94]    'PulseIni100msISICV_D40pA'             
    [ 95]    'PulseIni100msRest1SpikeRate_D40pA'    
    [ 96]    'PulseIni100msRest2SpikeRate_D40pA'    
    [ 97]    'PulseIni100msRest1SpikeRateISI_D40pA' 
    [ 98]    'PulseIni100msRest2SpikeRateISI_D40pA' 
    [ 99]    'PulseIni100msSpikeRate_D40pA'         
    [100]    'PulseIni100msSpikeRateISI_D40pA'      
    [101]    'PulsePotAvg_D40pA'                    
    [102]    'PulseSpikeAmpDecayTau_D40pA'          
    [103]    'PulseSpikeAmpDecayDelta_D40pA'        
    [104]    'RecIniSpontPotRatio_D40pA'            
    [105]    'RecIniSpontRateRatio_D40pA'           
    [106]    'RecSpont1SpikeRate_D40pA'             
    [107]    'RecSpont2SpikeRate_D40pA'             
    [108]    'RecSpont1SpikeRateISI_D40pA'          
    [109]    'RecSpont2SpikeRateISI_D40pA'          
    [110]    'RecSpontFirstISI_D40pA'               
    [111]    'RecSpontFirstSpikeTime_D40pA'         
    [112]    'RecSpontISICV_D40pA'                  
    [113]    'RecSpontPotAvg_D40pA'                 
    [114]    'PulseSpikeAmplitudeMean_D40pA'        
    [115]    'PulseSpikeAmplitudeMode_D40pA'        
    [116]    'PulseSpikeAmplitudeSTD_D40pA'         
    [117]    'PulseSpikeBaseWidthMean_D40pA'        
    [118]    'PulseSpikeBaseWidthMode_D40pA'        
    [119]    'PulseSpikeBaseWidthSTD_D40pA'         
    [120]    'PulseSpikeFallTimeMean_D40pA'         
    [121]    'PulseSpikeFallTimeMode_D40pA'         
    [122]    'PulseSpikeFallTimeSTD_D40pA'          
    [123]    'PulseSpikeHalfWidthMean_D40pA'        
    [124]    'PulseSpikeHalfWidthMode_D40pA'        
    [125]    'PulseSpikeHalfWidthSTD_D40pA'         
    [126]    'PulseSpikeInitVmBySlopeMean_D40pA'    
    [127]    'PulseSpikeInitVmBySlopeMode_D40pA'    
    [128]    'PulseSpikeInitVmBySlopeSTD_D40pA'     
    [129]    'PulseSpikeInitVmMean_D40pA'           
    [130]    'PulseSpikeInitVmMode_D40pA'           
    [131]    'PulseSpikeInitVmSTD_D40pA'            
    [132]    'PulseSpikeMaxAHPMean_D40pA'           
    [133]    'PulseSpikeMaxAHPMode_D40pA'           
    [134]    'PulseSpikeMaxAHPSTD_D40pA'            
    [135]    'PulseSpikeMaxVmSlopeMean_D40pA'       
    [136]    'PulseSpikeMaxVmSlopeMode_D40pA'       
    [137]    'PulseSpikeMaxVmSlopeSTD_D40pA'        
    [138]    'PulseSpikeMinTimeMean_D40pA'          
    [139]    'PulseSpikeMinTimeMode_D40pA'          
    [140]    'PulseSpikeMinTimeSTD_D40pA'           
    [141]    'PulseSpikeRiseTimeMean_D40pA'         
    [142]    'PulseSpikeRiseTimeMode_D40pA'         
    [143]    'PulseSpikeRiseTimeSTD_D40pA'          
    [144]    'PulseISICV_D100pA'                    
    [145]    'PulseSFA_D100pA'                      
    [146]    'PulseIni100msISICV_D100pA'            
    [147]    'PulseIni100msRest1SpikeRate_D100pA'   
    [148]    'PulseIni100msRest2SpikeRate_D100pA'   
    [149]    'PulseIni100msRest1SpikeRateISI_D100pA'
    [150]    'PulseIni100msRest2SpikeRateISI_D100pA'
    [151]    'PulseIni100msSpikeRate_D100pA'        
    [152]    'PulseIni100msSpikeRateISI_D100pA'     
    [153]    'PulsePotAvg_D100pA'                   
    [154]    'PulseSpikeAmpDecayTau_D100pA'         
    [155]    'PulseSpikeAmpDecayDelta_D100pA'       
    [156]    'RecSpont1SpikeRate_D100pA'            
    [157]    'RecSpont2SpikeRate_D100pA'            
    [158]    'RecSpont1SpikeRateISI_D100pA'         
    [159]    'RecSpont2SpikeRateISI_D100pA'         
    [160]    'RecSpontFirstISI_D100pA'              
    [161]    'RecSpontFirstSpikeTime_D100pA'        
    [162]    'RecSpontISICV_D100pA'                 
    [163]    'RecSpontPotAvg_D100pA'                
    [164]    'PulseSpikeAmplitudeMean_D100pA'       
    [165]    'PulseSpikeAmplitudeMode_D100pA'       
    [166]    'PulseSpikeAmplitudeSTD_D100pA'        
    [167]    'PulseSpikeBaseWidthMean_D100pA'       
    [168]    'PulseSpikeBaseWidthMode_D100pA'       
    [169]    'PulseSpikeBaseWidthSTD_D100pA'        
    [170]    'PulseSpikeFallTimeMean_D100pA'        
    [171]    'PulseSpikeFallTimeMode_D100pA'        
    [172]    'PulseSpikeFallTimeSTD_D100pA'         
    [173]    'PulseSpikeHalfWidthMean_D100pA'       
    [174]    'PulseSpikeHalfWidthMode_D100pA'       
    [175]    'PulseSpikeHalfWidthSTD_D100pA'        
    [176]    'PulseSpikeInitVmBySlopeMean_D100pA'   
    [177]    'PulseSpikeInitVmBySlopeMode_D100pA'   
    [178]    'PulseSpikeInitVmBySlopeSTD_D100pA'    
    [179]    'PulseSpikeInitVmMean_D100pA'          
    [180]    'PulseSpikeInitVmMode_D100pA'          
    [181]    'PulseSpikeInitVmSTD_D100pA'           
    [182]    'PulseSpikeMaxAHPMean_D100pA'          
    [183]    'PulseSpikeMaxAHPMode_D100pA'          
    [184]    'PulseSpikeMaxAHPSTD_D100pA'           
    [185]    'PulseSpikeMaxVmSlopeMean_D100pA'      
    [186]    'PulseSpikeMaxVmSlopeMode_D100pA'      
    [187]    'PulseSpikeMaxVmSlopeSTD_D100pA'       
    [188]    'PulseSpikeMinTimeMean_D100pA'         
    [189]    'PulseSpikeMinTimeMode_D100pA'         
    [190]    'PulseSpikeMinTimeSTD_D100pA'          
    [191]    'PulseSpikeRiseTimeMean_D100pA'        
    [192]    'PulseSpikeRiseTimeMode_D100pA'        
    [193]    'PulseSpikeRiseTimeSTD_D100pA'         
    [194]    'RecovSpikeAmplitudeMean_D100pA'       
    [195]    'RecovSpikeAmplitudeMode_D100pA'       
    [196]    'RecovSpikeAmplitudeSTD_D100pA'        
    [197]    'RecovSpikeBaseWidthMean_D100pA'       
    [198]    'RecovSpikeBaseWidthMode_D100pA'       
    [199]    'RecovSpikeBaseWidthSTD_D100pA'        
    [200]    'RecovSpikeFallTimeMean_D100pA'        
    [201]    'RecovSpikeFallTimeMode_D100pA'        
    [202]    'RecovSpikeFallTimeSTD_D100pA'         
    [203]    'RecovSpikeHalfWidthMean_D100pA'       
    [204]    'RecovSpikeHalfWidthMode_D100pA'       
    [205]    'RecovSpikeHalfWidthSTD_D100pA'        
    [206]    'RecovSpikeInitVmBySlopeMean_D100pA'   
    [207]    'RecovSpikeInitVmBySlopeMode_D100pA'   
    [208]    'RecovSpikeInitVmBySlopeSTD_D100pA'    
    [209]    'RecovSpikeInitVmMean_D100pA'          
    [210]    'RecovSpikeInitVmMode_D100pA'          
    [211]    'RecovSpikeInitVmSTD_D100pA'           
    [212]    'RecovSpikeMaxAHPMean_D100pA'          
    [213]    'RecovSpikeMaxAHPMode_D100pA'          
    [214]    'RecovSpikeMaxAHPSTD_D100pA'           
    [215]    'RecovSpikeMaxVmSlopeMean_D100pA'      
    [216]    'RecovSpikeMaxVmSlopeMode_D100pA'      
    [217]    'RecovSpikeMaxVmSlopeSTD_D100pA'       
    [218]    'RecovSpikeMinTimeMean_D100pA'         
    [219]    'RecovSpikeMinTimeMode_D100pA'         
    [220]    'RecovSpikeMinTimeSTD_D100pA'          
    [221]    'RecovSpikeRiseTimeMean_D100pA'        
    [222]    'RecovSpikeRiseTimeMode_D100pA'        
    [223]    'RecovSpikeRiseTimeSTD_D100pA'         
    [224]    'PulseISICV_D200pA'                    
    [225]    'PulseSFA_D200pA'                      
    [226]    'PulseIni100msISICV_D200pA'            
    [227]    'PulseIni100msRest1SpikeRate_D200pA'   
    [228]    'PulseIni100msRest2SpikeRate_D200pA'   
    [229]    'PulseIni100msRest1SpikeRateISI_D200pA'
    [230]    'PulseIni100msRest2SpikeRateISI_D200pA'
    [231]    'PulseIni100msSpikeRate_D200pA'        
    [232]    'PulseIni100msSpikeRateISI_D200pA'     
    [233]    'PulsePotAvg_D200pA'                   
    [234]    'PulseSpikeAmpDecayTau_D200pA'         
    [235]    'PulseSpikeAmpDecayDelta_D200pA'       
    [236]    'RecIniSpontPotRatio_D200pA'           
    [237]    'RecIniSpontRateRatio_D200pA'          
    [238]    'RecSpont1SpikeRate_D200pA'            
    [239]    'RecSpont2SpikeRate_D200pA'            
    [240]    'RecSpont1SpikeRateISI_D200pA'         
    [241]    'RecSpont2SpikeRateISI_D200pA'         
    [242]    'RecSpontFirstISI_D200pA'              
    [243]    'RecSpontFirstSpikeTime_D200pA'        
    [244]    'RecSpontISICV_D200pA'                 
    [245]    'RecSpontPotAvg_D200pA'                
    [246]    'PulseSpikeAmplitudeMean_D200pA'       
    [247]    'PulseSpikeAmplitudeMode_D200pA'       
    [248]    'PulseSpikeAmplitudeSTD_D200pA'        
    [249]    'PulseSpikeBaseWidthMean_D200pA'       
    [250]    'PulseSpikeBaseWidthMode_D200pA'       
    [251]    'PulseSpikeBaseWidthSTD_D200pA'        
    [252]    'PulseSpikeFallTimeMean_D200pA'        
    [253]    'PulseSpikeFallTimeMode_D200pA'        
    [254]    'PulseSpikeFallTimeSTD_D200pA'         
    [255]    'PulseSpikeHalfWidthMean_D200pA'       
    [256]    'PulseSpikeHalfWidthMode_D200pA'       
    [257]    'PulseSpikeHalfWidthSTD_D200pA'        
    [258]    'PulseSpikeInitVmBySlopeMean_D200pA'   
    [259]    'PulseSpikeInitVmBySlopeMode_D200pA'   
    [260]    'PulseSpikeInitVmBySlopeSTD_D200pA'    
    [261]    'PulseSpikeInitVmMean_D200pA'          
    [262]    'PulseSpikeInitVmMode_D200pA'          
    [263]    'PulseSpikeInitVmSTD_D200pA'           
    [264]    'PulseSpikeMaxAHPMean_D200pA'          
    [265]    'PulseSpikeMaxAHPMode_D200pA'          
    [266]    'PulseSpikeMaxAHPSTD_D200pA'           
    [267]    'PulseSpikeMaxVmSlopeMean_D200pA'      
    [268]    'PulseSpikeMaxVmSlopeMode_D200pA'      
    [269]    'PulseSpikeMaxVmSlopeSTD_D200pA'       
    [270]    'PulseSpikeMinTimeMean_D200pA'         
    [271]    'PulseSpikeMinTimeMode_D200pA'         
    [272]    'PulseSpikeMinTimeSTD_D200pA'          
    [273]    'PulseSpikeRiseTimeMean_D200pA'        
    [274]    'PulseSpikeRiseTimeMode_D200pA'        
    [275]    'PulseSpikeRiseTimeSTD_D200pA'         
    [276]    'PulsePotSagDivMin_H100pA'             
    [277]    'InputResGOhm_HpA'                     
    [278]    'InputCappF_HpA'                       
    [279]    'IniRecISIRatio_H100pA'                
    [280]    'PulseSFARatio_D100pA'                 
    [281]    'RecIniSpontRateRatio_H100pA'          
    [282]    'RecIniSpontRateRatio_D100pA'          
    [283]    'PulseSpontAmpRatio_D40pA'             
    [284]    'PulseSpontAmpRatio_D100pA'            
    [285]    'PulseSpontAmpRatio_D200pA'            
    [286]    'RecIniSpontPotRatio_H100pA'           
    [287]    'RecIniSpontPotRatio_D100pA'           
    [288]    'RowIndex'                             

Row names:
    'mean'
    'SE'
    'n'

Optional properties of tests_db:

ans = 

0x0 struct array with no fields.

>>  plotFigure(plot_bars(a_stats_db(:, {'KCNQ', 'PulseISICV_D200pA'}, :), '', struct('pageVariable', 'KCNQ')));
>>  plotFigure(plot_bars(a_stats_db(:, {'KCNQ', 'PulseISICV_D200pA'}, :), '', struct('pageVariable', 'KCNQ', 'quiet', 1)));
>> t_trinity_NaP_2_CaHVA = trace('data_28_trial_0_pAcip_trinity_NaP_2_CaHVA_5.bin', 1e-4, 1e-3, 'Trinity, NaP=2 CaHVA=5', struct('trace_time_start', 10000, 'scale_y', 1e3))

readgenesis: could not open file 'data_28_trial_0_pAcip_trinity_NaP_2_CaHVA_5.bin'
{??? Error using ==> readgenesis

readgenesis: error... see output above

Error in ==> trace.trace at 181
           data = readgenesis(data_src, channel);
} 
>> pwd

ans =

/home/cengiz/Documents/writings/brute-force/database-analysis-lecture/GunayEdgertonJaeger2008/runs/run_sample/data

>> ls
brute_20.save  data_20_trial_0_pAcip_trinity.bin
brute_21.save  data_21_trial_0_pAcip_trinity_NaP_2.bin
brute_22.save  data_22_trial_0_pAcip_trinity_NaP_2_KCNQ_4_5.bin
brute_23.save  data_23_trial_0_pAcip.bin
brute_24.save  data_24_trial_0_pAcip_trinity_NaF_700.bin
brute_25.save  data_25_trial_0_pAcip_Kv4_640.bin
brute_26.save  data_26_trial_0_pAcip_NaP_2_Kv4_620.bin
brute_27.save  data_27_trial_0_pAcip_charles.bin
brute_28.save  data_28_trial_0_pAcip_trinity_NaP_2_CaHVA.bin

>> t_trinity_NaP_2_CaHVA = trace('data_28_trial_0_pAcip_trinity_NaP_2_CaHVA_5.bin', 1e-4, 1e-3, 'Trinity, NaP=2 CaHVA=5', struct('trace_time_start', 10000, 'scale_y', 1e3))
readgenesis: data_28_trial_0_pAcip_trinity_NaP_2_CaHVA_5.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Trinity, NaP=2 CaHVA=5

ans = 

     data: [10001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Trinity, NaP=2 CaHVA=5'
    props: [1x1 struct]

>> plot(t_trinity_NaP_2_CaHVA)

ans =

     8

>> prof_trinity_NaP_2_CaHVA_5 = getProfileAllSpikes(t_trinity_NaP_2_CaHVA_5)
{??? Undefined function or variable 't_trinity_NaP_2_CaHVA_5'.
} 
>> prof_trinity_NaP_2_CaHVA_5 = getProfileAllSpikes(t_trinity_NaP_2_CaHVA)
{Warning: Error in Trinity, NaP=2 CaHVA=5 ( spike#1): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#1)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 CaHVA=5 ( spike#2): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#2)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#3)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, Trinity, NaP=2 CaHVA=5

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Trinity, NaP=2 CaHVA=5

ans = 

    results: [1x1 struct]
         id: 'Trinity, NaP=2 CaHVA=5'
      props: [0x0 struct]

                     ISICV: 0.0024
                 SpikeRate: 5
              SpikeRateISI: 4.6318
                       avg: -70.0740
                       max: 39.2852
                       min: -82.1495
        SpikeAmplitudeMean: 91.0042
        SpikeAmplitudeMode: 90.8984
         SpikeAmplitudeSTD: 0.1367
        SpikeBaseWidthMean: 2.0760
        SpikeBaseWidthMode: 2.0494
         SpikeBaseWidthSTD: 0.0513
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.6400
         SpikeFallTimeMode: 1.6005
          SpikeFallTimeSTD: 0.0548
        SpikeFixVWidthMean: 1.1465
        SpikeFixVWidthMode: 1.1420
         SpikeFixVWidthSTD: 0.0057
           SpikeHalfVmMean: -6.2111
           SpikeHalfVmMode: -6.3504
            SpikeHalfVmSTD: 0.0820
        SpikeHalfWidthMean: 1.0848
        SpikeHalfWidthMode: 1.0794
         SpikeHalfWidthSTD: 0.0057
         SpikeInitTimeMean: 6.6800
         SpikeInitTimeMode: 6.6998
          SpikeInitTimeSTD: 0.0274
    SpikeInitVmBySlopeMean: -51.7132
    SpikeInitVmBySlopeMode: -51.6643
     SpikeInitVmBySlopeSTD: 0.1500
           SpikeInitVmMean: -51.7132
           SpikeInitVmMode: -51.6643
            SpikeInitVmSTD: 0.1500
           SpikeMaxAHPMean: 30.4354
           SpikeMaxAHPMode: 30.1778
            SpikeMaxAHPSTD: 0.1499
       SpikeMaxVmSlopeMean: 373.7007
       SpikeMaxVmSlopeMode: 365.7515
        SpikeMaxVmSlopeSTD: 12.1367
          SpikeMinTimeMean: 28.6000
          SpikeMinTimeMode: 28.6000
           SpikeMinTimeSTD: 0
            SpikeMinVmMean: -82.1486
            SpikeMinVmMode: -82.1494
             SpikeMinVmSTD: 7.9598e-04
           SpikePeakVmMean: 39.2910
           SpikePeakVmMode: 39.2851
            SpikePeakVmSTD: 0.0164
         SpikeRiseTimeMean: 0.4360
         SpikeRiseTimeMode: 0.4202
          SpikeRiseTimeSTD: 0.0152
                    Spikes: 5

>> t_clarissa = trace('data_29_trial_0_pAcip_clarissa.bin', 1e-4, 1e-3, 'Clarissa', struct('trace_time_start', 10000, 'scale_y', 1e3))
readgenesis: data_29_trial_0_pAcip_clarissa.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Clarissa

ans = 

     data: [10001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Clarissa'
    props: [1x1 struct]

>> t_clarissa = trace('data_29_trial_0_pAcip_clarissa.bin', 1e-4, 1e-3, 'Clarissa', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_29_trial_0_pAcip_clarissa.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Clarissa

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Clarissa'
    props: [1x1 struct]

>> t_trinity_NaP_2_CaHVA = trace('data_28_trial_0_pAcip_trinity_NaP_2_CaHVA_5.bin', 1e-4, 1e-3, 'Trinity, NaP=2 CaHVA=5', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_28_trial_0_pAcip_trinity_NaP_2_CaHVA_5.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Trinity, NaP=2 CaHVA=5

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Trinity, NaP=2 CaHVA=5'
    props: [1x1 struct]

>> prof_trinity_NaP_2_CaHVA_5 = getProfileAllSpikes(t_trinity_NaP_2_CaHVA)
{Warning: Error in Trinity, NaP=2 CaHVA=5 ( spike#1): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#1)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 CaHVA=5 ( spike#2): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#2)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 CaHVA=5 ( spike#4): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 CaHVA=5 ( spike#5): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Trinity, NaP=2 CaHVA=5 ( spike#6): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#7)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#8)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#9)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, Trinity, NaP=2 CaHVA=5

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Trinity, NaP=2 CaHVA=5

ans = 

    results: [1x1 struct]
         id: 'Trinity, NaP=2 CaHVA=5'
      props: [0x0 struct]

                     ISICV: 0.0054
                 SpikeRate: 4.7368
              SpikeRateISI: 4.6522
                       avg: -70.1104
                       max: 39.2979
                       min: -82.1495
        SpikeAmplitudeMean: 91.2374
        SpikeAmplitudeMode: 90.9563
         SpikeAmplitudeSTD: 0.6403
        SpikeBaseWidthMean: 2.1192
        SpikeBaseWidthMode: 2.0516
         SpikeBaseWidthSTD: 0.1044
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.6556
         SpikeFallTimeMode: 1.6995
          SpikeFallTimeSTD: 0.0527
        SpikeFixVWidthMean: 1.1471
        SpikeFixVWidthMode: 1.1420
         SpikeFixVWidthSTD: 0.0046
           SpikeHalfVmMean: -6.3447
           SpikeHalfVmMode: -6.1926
            SpikeHalfVmSTD: 0.3509
        SpikeHalfWidthMean: 1.0880
        SpikeHalfWidthMode: 1.0795
         SpikeHalfWidthSTD: 0.0065
         SpikeInitTimeMean: 6.6363
         SpikeInitTimeMode: 6.6986
          SpikeInitTimeSTD: 0.0888
    SpikeInitVmBySlopeMean: -51.8194
    SpikeInitVmBySlopeMode: -52.3132
     SpikeInitVmBySlopeSTD: 0.4048
           SpikeInitVmMean: -51.9634
           SpikeInitVmMode: -51.6594
            SpikeInitVmSTD: 0.6708
           SpikeMaxAHPMean: 30.1842
           SpikeMaxAHPMode: 30.4867
            SpikeMaxAHPSTD: 0.6711
       SpikeMaxVmSlopeMean: 381.2720
       SpikeMaxVmSlopeMode: 354.8945
        SpikeMaxVmSlopeSTD: 19.2762
          SpikeMinTimeMean: 28.5889
          SpikeMinTimeMode: 28.5995
           SpikeMinTimeSTD: 0.0333
            SpikeMinVmMean: -82.1476
            SpikeMinVmMode: -82.1494
             SpikeMinVmSTD: 0.0015
           SpikePeakVmMean: 39.2740
           SpikePeakVmMode: 39.2847
            SpikePeakVmSTD: 0.0362
         SpikeRiseTimeMean: 0.4637
         SpikeRiseTimeMode: 0.4198
          SpikeRiseTimeSTD: 0.0690
                    Spikes: 9

>> getProfileAllSpikes(t_clarissa)
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#1)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#3): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#3)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#5): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#8): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#8)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#9): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#9)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#11): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#12)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#13)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#14): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#14)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#15): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#15)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#16): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#16)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#17): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#17)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#18): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#18)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, Clarissa

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Clarissa

ans = 

    results: [1x1 struct]
         id: 'Clarissa'
      props: [0x0 struct]

                     ISICV: 0.0032
                 SpikeRate: 9.4737
              SpikeRateISI: 9.0768
                       avg: -65.3672
                       max: 43.4252
                       min: -69.9721
        SpikeAmplitudeMean: 95.4980
        SpikeAmplitudeMode: 95.7206
         SpikeAmplitudeSTD: 0.7868
        SpikeBaseWidthMean: 2.3524
        SpikeBaseWidthMode: 2.3216
         SpikeBaseWidthSTD: 0.1187
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.8000
         SpikeFallTimeMode: 1.8955
          SpikeFallTimeSTD: 0.4284
        SpikeFixVWidthMean: 1.1858
        SpikeFixVWidthMode: 1.1898
         SpikeFixVWidthSTD: 0.0053
           SpikeHalfVmMean: -4.8753
           SpikeHalfVmMode: -4.7771
            SpikeHalfVmSTD: 0.3463
        SpikeHalfWidthMean: 1.1053
        SpikeHalfWidthMode: 1.1083
         SpikeHalfWidthSTD: 0.0065
         SpikeInitTimeMean: 6.6510
         SpikeInitTimeMode: 6.6991
          SpikeInitTimeSTD: 0.0574
    SpikeInitVmBySlopeMean: -52.4373
    SpikeInitVmBySlopeMode: -52.9640
     SpikeInitVmBySlopeSTD: 0.3988
           SpikeInitVmMean: -52.6243
           SpikeInitVmMode: -54.0840
            SpikeInitVmSTD: 0.7167
           SpikeMaxAHPMean: 17.2246
           SpikeMaxAHPMode: 17.5380
            SpikeMaxAHPSTD: 0.8027
       SpikeMaxVmSlopeMean: 422.2717
       SpikeMaxVmSlopeMode: 434.3384
        SpikeMaxVmSlopeSTD: 23.7038
          SpikeMinTimeMean: 31.3556
          SpikeMinTimeMode: 32.3525
           SpikeMinTimeSTD: 4.2101
            SpikeMinVmMean: -69.8489
            SpikeMinVmMode: -69.9618
             SpikeMinVmSTD: 0.4799
           SpikePeakVmMean: 42.8737
           SpikePeakVmMode: 42.7232
            SpikePeakVmSTD: 0.1890
         SpikeRiseTimeMean: 0.4524
         SpikeRiseTimeMode: 0.4202
          SpikeRiseTimeSTD: 0.0638
                    Spikes: 18

>> dbsize(gp_db_red(gp_db_red(:, 'PulsePotAvgD100pA') > -70 & gp_db_red(:, 'PulsePotAvgD100pA') < -60, :))
{??? Error using ==> tests_db.tests2idx at 76
Field 'PulsePotAvgD100pA' not found in db

Error in ==> tests_db.tests2cols at 34
cols = tests2idx(db, 2, tests);

Error in ==> params_tests_db.onlyRowsTests at 38
  cols = tests2cols(obj, varargin{2});

Error in ==> params_tests_db.subsref at 33
	b = onlyRowsTests(a, index.subs{:});
} 
>> dbsize(gp_db_red(gp_db_red(:, 'PulsePotAvg_D100pA') > -70 & gp_db_red(:, 'PulsePotAvg_D100pA') < -60, :))

ans =

        5181         297

>> .74*1.10

ans =

    0.8140

>> dbsize(gp_db_red(gp_db_red(:, 'PulseISICV_D200pA') > 0.1 & gp_db_red(:, 'PulseISICV_D200pA') < .3, :))

ans =

        1733         297

>> t_clair = trace('data_53_trial_0_pAcip_claire.bin', 1e-4, 1e-3, 'Clarissa', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_53_trial_0_pAcip_claire.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Clarissa

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Clarissa'
    props: [1x1 struct]

>> plot(t_clair)

ans =

     9

>> getProfileAllSpikes(t_clair)
{Warning: Error in Clarissa ( spike#1): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#1)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#2): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#2)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#3): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#3)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#6): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#9)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#10)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#11): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#12)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Clarissa ( spike#13): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Clarissa ( spike#13)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, Clarissa

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Clarissa

ans = 

    results: [1x1 struct]
         id: 'Clarissa'
      props: [0x0 struct]

                     ISICV: 0.0040
                 SpikeRate: 6.8421
              SpikeRateISI: 6.5459
                       avg: -66.2530
                       max: 43.1611
                       min: -71.5199
        SpikeAmplitudeMean: 95.4414
        SpikeAmplitudeMode: 95.4219
         SpikeAmplitudeSTD: 0.6497
        SpikeBaseWidthMean: 2.1539
        SpikeBaseWidthMode: 2.0991
         SpikeBaseWidthSTD: 0.0917
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.6000
         SpikeFallTimeMode: 1.7065
          SpikeFallTimeSTD: 0.4528
        SpikeFixVWidthMean: 1.1351
        SpikeFixVWidthMode: 1.1301
         SpikeFixVWidthSTD: 0.0047
           SpikeHalfVmMean: -4.7884
           SpikeHalfVmMode: -5.4587
            SpikeHalfVmSTD: 0.2986
        SpikeHalfWidthMean: 1.0565
        SpikeHalfWidthMode: 1.0512
         SpikeHalfWidthSTD: 0.0054
         SpikeInitTimeMean: 6.6846
         SpikeInitTimeMode: 6.7009
          SpikeInitTimeSTD: 0.0468
    SpikeInitVmBySlopeMean: -52.3703
    SpikeInitVmBySlopeMode: -52.9342
     SpikeInitVmBySlopeSTD: 0.3796
           SpikeInitVmMean: -52.5091
           SpikeInitVmMode: -52.4779
            SpikeInitVmSTD: 0.6168
           SpikeMaxAHPMean: 18.0507
           SpikeMaxAHPMode: 19.1733
            SpikeMaxAHPSTD: 3.3541
       SpikeMaxVmSlopeMean: 419.9220
       SpikeMaxVmSlopeMode: 424.0457
        SpikeMaxVmSlopeSTD: 23.9396
          SpikeMinTimeMean: 32.7462
          SpikeMinTimeMode: 34.5735
           SpikeMinTimeSTD: 7.0147
            SpikeMinVmMean: -70.5597
            SpikeMinVmMode: -71.4576
             SpikeMinVmSTD: 3.4453
           SpikePeakVmMean: 42.9323
           SpikePeakVmMode: 42.7848
            SpikePeakVmSTD: 0.0948
         SpikeRiseTimeMean: 0.4231
         SpikeRiseTimeMode: 0.4004
          SpikeRiseTimeSTD: 0.0537
                    Spikes: 13

>> t_trinity_NaP_2_SK_256 = trace('data_30_trial_0_pAcip_trinity_NAP_2_SK_256.bin', 1e-4, 1e-3, 'Trinity, NaP=2 CaHVA=5', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_30_trial_0_pAcip_trinity_NAP_2_SK_256.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Trinity, NaP=2 CaHVA=5

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Trinity, NaP=2 CaHVA=5'
    props: [1x1 struct]

>> getProfileAllSpikes(t_trinity_NaP_2_SK_256)
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Trinity, NaP=2 CaHVA=5 ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, Trinity, NaP=2 CaHVA=5

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Trinity, NaP=2 CaHVA=5

ans = 

    results: [1x1 struct]
         id: 'Trinity, NaP=2 CaHVA=5'
      props: [0x0 struct]

                     ISICV: 7.7781e-04
                 SpikeRate: 4.7368
              SpikeRateISI: 4.6160
                       avg: -76.5772
                       max: 40.1121
                       min: -88.9876
        SpikeAmplitudeMean: 96.0065
        SpikeAmplitudeMode: 95.9929
         SpikeAmplitudeSTD: 0.0893
        SpikeBaseWidthMean: 1.7654
        SpikeBaseWidthMode: 1.7207
         SpikeBaseWidthSTD: 0.0486
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.2222
         SpikeFallTimeMode: 1.2005
          SpikeFallTimeSTD: 0.0441
        SpikeFixVWidthMean: 0.9748
        SpikeFixVWidthMode: 0.9681
         SpikeFixVWidthSTD: 0.0068
           SpikeHalfVmMean: -7.9938
           SpikeHalfVmMode: -8.1378
            SpikeHalfVmSTD: 0.0843
        SpikeHalfWidthMean: 0.9514
        SpikeHalfWidthMode: 0.9442
         SpikeHalfWidthSTD: 0.0077
         SpikeInitTimeMean: 6.5657
         SpikeInitTimeMode: 6.6002
          SpikeInitTimeSTD: 0.0329
    SpikeInitVmBySlopeMean: -55.8510
    SpikeInitVmBySlopeMode: -56.0891
     SpikeInitVmBySlopeSTD: 0.2286
           SpikeInitVmMean: -55.9970
           SpikeInitVmMode: -56.1293
            SpikeInitVmSTD: 0.1090
           SpikeMaxAHPMean: 32.9891
           SpikeMaxAHPMode: 32.8565
            SpikeMaxAHPSTD: 0.1094
       SpikeMaxVmSlopeMean: 399.1392
       SpikeMaxVmSlopeMode: 376.2801
        SpikeMaxVmSlopeSTD: 14.5011
          SpikeMinTimeMean: 17.9444
          SpikeMinTimeMode: 17.9005
           SpikeMinTimeSTD: 0.0527
            SpikeMinVmMean: -88.9861
            SpikeMinVmMode: -88.9874
             SpikeMinVmSTD: 5.2878e-04
           SpikePeakVmMean: 40.0095
           SpikePeakVmMode: 39.8540
            SpikePeakVmSTD: 0.0795
         SpikeRiseTimeMean: 0.5432
         SpikeRiseTimeMode: 0.5202
          SpikeRiseTimeSTD: 0.0180
                    Spikes: 9

>> t_kunal = trace('data_64_trial_0_pAcip_kunal.bin', 1e-4, 1e-3, 'Kunal Patel', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_64_trial_0_pAcip_kunal.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Kunal Patel

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Kunal Patel'
    props: [1x1 struct]

>> getProfileAllSpikes(t_kunal)
{Warning: vPP curvature ignored, v' > 15 for Kunal Patel ( spike#1)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Kunal Patel ( spike#2): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Kunal Patel ( spike#2)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Kunal Patel ( spike#4): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Kunal Patel ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Spike failed to repolarize.} 
> In spike_shape.calcWidthFall at 74
  In spike_shape.getResults at 120
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Kunal Patel ( spike#5): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Kunal Patel ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Kunal Patel ( spike#6): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Kunal Patel ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Kunal Patel ( spike#7): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Kunal Patel ( spike#7)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Kunal Patel ( spike#8): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Kunal Patel ( spike#8)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Kunal Patel ( spike#10)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Kunal Patel ( spike#12): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Kunal Patel ( spike#12)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Spike failed to repolarize.} 
> In spike_shape.calcWidthFall at 74
  In spike_shape.getResults at 120
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Kunal Patel ( spike#13): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Kunal Patel ( spike#13)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Kunal Patel ( spike#14): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Kunal Patel ( spike#14)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, Kunal Patel

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Kunal Patel

ans = 

    results: [1x1 struct]
         id: 'Kunal Patel'
      props: [0x0 struct]

                     ISICV: 0.0011
                 SpikeRate: 7.3684
              SpikeRateISI: 7.3256
                       avg: -69.5585
                       max: 37.5782
                       min: -76.4790
        SpikeAmplitudeMean: 90.2197
        SpikeAmplitudeMode: 89.2593
         SpikeAmplitudeSTD: 0.7787
        SpikeBaseWidthMean: 1.3861
        SpikeBaseWidthMode: 1.3590
         SpikeBaseWidthSTD: 0.0794
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.0083
         SpikeFallTimeMode: 1.0005
          SpikeFallTimeSTD: 0.0289
        SpikeFixVWidthMean: 0.7676
        SpikeFixVWidthMode: 0.7634
         SpikeFixVWidthSTD: 0.0046
           SpikeHalfVmMean: -7.5209
           SpikeHalfVmMode: -7.5195
            SpikeHalfVmSTD: 0.4298
        SpikeHalfWidthMean: 0.7403
        SpikeHalfWidthMode: 0.7421
         SpikeHalfWidthSTD: 0.0039
         SpikeInitTimeMean: 6.7141
         SpikeInitTimeMode: 6.7987
          SpikeInitTimeSTD: 0.0969
    SpikeInitVmBySlopeMean: -52.3014
    SpikeInitVmBySlopeMode: -52.7951
     SpikeInitVmBySlopeSTD: 0.4105
           SpikeInitVmMean: -52.5616
           SpikeInitVmMode: -53.8069
            SpikeInitVmSTD: 0.7876
           SpikeMaxAHPMean: 23.7872
           SpikeMaxAHPMode: 22.6506
            SpikeMaxAHPSTD: 0.7929
       SpikeMaxVmSlopeMean: 400.9014
       SpikeMaxVmSlopeMode: 421.5749
        SpikeMaxVmSlopeSTD: 19.7654
          SpikeMinTimeMean: 28.9750
          SpikeMinTimeMode: 28.9995
           SpikeMinTimeSTD: 0.0452
            SpikeMinVmMean: -76.4590
            SpikeMinVmMode: -76.4587
             SpikeMinVmSTD: 0.0065
           SpikePeakVmMean: 37.6581
           SpikePeakVmMode: 37.5128
            SpikePeakVmSTD: 0.2479
         SpikeRiseTimeMean: 0.3674
         SpikeRiseTimeMode: 0.3590
          SpikeRiseTimeSTD: 0.0832
                    Spikes: 14

>> who

Your variables are:

a_plot                       t_NaP_2                      
a_stats_db                   t_NaP_2_KCNQ_4_5             
ans                          t_abdul                      
dat                          t_charles                    
gp_db_red                    t_clair                      
invar_db                     t_clarissa                   
prof_abdul                   t_kunal                      
prof_charles                 t_trinity_NaF_700            
prof_trinity                 t_trinity_NaP_2_CaHVA        
prof_trinity_NaF_700         t_trinity_NaP_2_Kv4_620      
prof_trinity_NaP_2           t_trinity_NaP_2_Kv4_640      
prof_trinity_NaP_2_CaHVA_5   t_trinity_NaP_2_SK_256       
prof_trinity_NaP_2_KCNQ_4_5  
t                            

>> displayRows(invar_db(:, {1:11, 'KCNQ', 'IniSpontSpikeRate_0pA'}, 1876))
{??? Error using ==> cat
CAT arguments dimensions are not consistent.

Error in ==> tests_db.displayRows at 45
  s = cat(2, col_names, num2cell(db.data(rows, :, pages))');
} 
>> displayRows(invar_db(:, {'KCNQ', 'IniSpontSpikeRate_0pA'}, 1876))

ans = 

    'KCNQ'         [ 0.0800]    [ 0.4000]    [     2]    [10]
    [1x21 char]    [13.0013]    [12.0012]    [7.0007]    [ 0]

>> invar_db
tests_3D_db, Invariant values from sim db gpsc0503 mult CIP
tests_db, Invariant values from sim db gpsc0503 mult CIP
4 rows in database with 288 columns, and 2916 pages.
Column names:
    [  1]    'KCNQ'                                 
    [  2]    'IniSpontSpikeRateISI_H100pA'          
    [  3]    'PulseISICV_H100pA'                    
    [  4]    'PulseSFA_H100pA'                      
    [  5]    'PulseIni100msISICV_H100pA'            
    [  6]    'PulseIni100msRest1SpikeRate_H100pA'   
    [  7]    'PulseIni100msRest2SpikeRate_H100pA'   
    [  8]    'PulseIni100msRest1SpikeRateISI_H100pA'
    [  9]    'PulseIni100msRest2SpikeRateISI_H100pA'
    [ 10]    'PulseIni100msSpikeRate_H100pA'        
    [ 11]    'PulseIni100msSpikeRateISI_H100pA'     
    [ 12]    'PulsePotAvg_H100pA'                   
    [ 13]    'PulseSpikeAmpDecayTau_H100pA'         
    [ 14]    'PulseSpikeAmpDecayDelta_H100pA'       
    [ 15]    'PulseSpontAmpRatio_H100pA'            
    [ 16]    'PulsePotMin_H100pA'                   
    [ 17]    'PulsePotMinTime_H100pA'               
    [ 18]    'PulsePotSag_H100pA'                   
    [ 19]    'PulsePotTau_H100pA'                   
    [ 20]    'RecSpont1SpikeRate_H100pA'            
    [ 21]    'RecSpont2SpikeRate_H100pA'            
    [ 22]    'RecSpont1SpikeRateISI_H100pA'         
    [ 23]    'RecSpont2SpikeRateISI_H100pA'         
    [ 24]    'RecSpontFirstISI_H100pA'              
    [ 25]    'RecSpontFirstSpikeTime_H100pA'        
    [ 26]    'RecSpontISICV_H100pA'                 
    [ 27]    'RecSpontPotAvg_H100pA'                
    [ 28]    'RecovSpikeAmplitudeMean_H100pA'       
    [ 29]    'RecovSpikeAmplitudeMode_H100pA'       
    [ 30]    'RecovSpikeAmplitudeSTD_H100pA'        
    [ 31]    'RecovSpikeBaseWidthMean_H100pA'       
    [ 32]    'RecovSpikeBaseWidthMode_H100pA'       
    [ 33]    'RecovSpikeBaseWidthSTD_H100pA'        
    [ 34]    'RecovSpikeFallTimeMean_H100pA'        
    [ 35]    'RecovSpikeFallTimeMode_H100pA'        
    [ 36]    'RecovSpikeFallTimeSTD_H100pA'         
    [ 37]    'RecovSpikeHalfWidthMean_H100pA'       
    [ 38]    'RecovSpikeHalfWidthMode_H100pA'       
    [ 39]    'RecovSpikeHalfWidthSTD_H100pA'        
    [ 40]    'RecovSpikeInitVmBySlopeMean_H100pA'   
    [ 41]    'RecovSpikeInitVmBySlopeMode_H100pA'   
    [ 42]    'RecovSpikeInitVmBySlopeSTD_H100pA'    
    [ 43]    'RecovSpikeInitVmMean_H100pA'          
    [ 44]    'RecovSpikeInitVmMode_H100pA'          
    [ 45]    'RecovSpikeInitVmSTD_H100pA'           
    [ 46]    'RecovSpikeMaxAHPMean_H100pA'          
    [ 47]    'RecovSpikeMaxAHPMode_H100pA'          
    [ 48]    'RecovSpikeMaxAHPSTD_H100pA'           
    [ 49]    'RecovSpikeMaxVmSlopeMean_H100pA'      
    [ 50]    'RecovSpikeMaxVmSlopeMode_H100pA'      
    [ 51]    'RecovSpikeMaxVmSlopeSTD_H100pA'       
    [ 52]    'RecovSpikeMinTimeMean_H100pA'         
    [ 53]    'RecovSpikeMinTimeMode_H100pA'         
    [ 54]    'RecovSpikeMinTimeSTD_H100pA'          
    [ 55]    'RecovSpikeRiseTimeMean_H100pA'        
    [ 56]    'RecovSpikeRiseTimeMode_H100pA'        
    [ 57]    'RecovSpikeRiseTimeSTD_H100pA'         
    [ 58]    'IniSpontISICV_0pA'                    
    [ 59]    'IniSpontPotAvg_0pA'                   
    [ 60]    'IniSpontSpikeRate_0pA'                
    [ 61]    'IniSpontSpikeRateISI_0pA'             
    [ 62]    'SpontSpikeAmplitudeMean_0pA'          
    [ 63]    'SpontSpikeAmplitudeMode_0pA'          
    [ 64]    'SpontSpikeAmplitudeSTD_0pA'           
    [ 65]    'SpontSpikeBaseWidthMean_0pA'          
    [ 66]    'SpontSpikeBaseWidthMode_0pA'          
    [ 67]    'SpontSpikeBaseWidthSTD_0pA'           
    [ 68]    'SpontSpikeFallTimeMean_0pA'           
    [ 69]    'SpontSpikeFallTimeMode_0pA'           
    [ 70]    'SpontSpikeFallTimeSTD_0pA'            
    [ 71]    'SpontSpikeHalfWidthMean_0pA'          
    [ 72]    'SpontSpikeHalfWidthMode_0pA'          
    [ 73]    'SpontSpikeHalfWidthSTD_0pA'           
    [ 74]    'SpontSpikeInitVmBySlopeMean_0pA'      
    [ 75]    'SpontSpikeInitVmBySlopeMode_0pA'      
    [ 76]    'SpontSpikeInitVmBySlopeSTD_0pA'       
    [ 77]    'SpontSpikeInitVmMean_0pA'             
    [ 78]    'SpontSpikeInitVmMode_0pA'             
    [ 79]    'SpontSpikeInitVmSTD_0pA'              
    [ 80]    'SpontSpikeMaxAHPMean_0pA'             
    [ 81]    'SpontSpikeMaxAHPMode_0pA'             
    [ 82]    'SpontSpikeMaxAHPSTD_0pA'              
    [ 83]    'SpontSpikeMaxVmSlopeMean_0pA'         
    [ 84]    'SpontSpikeMaxVmSlopeMode_0pA'         
    [ 85]    'SpontSpikeMaxVmSlopeSTD_0pA'          
    [ 86]    'SpontSpikeMinTimeMean_0pA'            
    [ 87]    'SpontSpikeMinTimeMode_0pA'            
    [ 88]    'SpontSpikeMinTimeSTD_0pA'             
    [ 89]    'SpontSpikeRiseTimeMean_0pA'           
    [ 90]    'SpontSpikeRiseTimeMode_0pA'           
    [ 91]    'SpontSpikeRiseTimeSTD_0pA'            
    [ 92]    'PulseISICV_D40pA'                     
    [ 93]    'PulseSFA_D40pA'                       
    [ 94]    'PulseIni100msISICV_D40pA'             
    [ 95]    'PulseIni100msRest1SpikeRate_D40pA'    
    [ 96]    'PulseIni100msRest2SpikeRate_D40pA'    
    [ 97]    'PulseIni100msRest1SpikeRateISI_D40pA' 
    [ 98]    'PulseIni100msRest2SpikeRateISI_D40pA' 
    [ 99]    'PulseIni100msSpikeRate_D40pA'         
    [100]    'PulseIni100msSpikeRateISI_D40pA'      
    [101]    'PulsePotAvg_D40pA'                    
    [102]    'PulseSpikeAmpDecayTau_D40pA'          
    [103]    'PulseSpikeAmpDecayDelta_D40pA'        
    [104]    'RecIniSpontPotRatio_D40pA'            
    [105]    'RecIniSpontRateRatio_D40pA'           
    [106]    'RecSpont1SpikeRate_D40pA'             
    [107]    'RecSpont2SpikeRate_D40pA'             
    [108]    'RecSpont1SpikeRateISI_D40pA'          
    [109]    'RecSpont2SpikeRateISI_D40pA'          
    [110]    'RecSpontFirstISI_D40pA'               
    [111]    'RecSpontFirstSpikeTime_D40pA'         
    [112]    'RecSpontISICV_D40pA'                  
    [113]    'RecSpontPotAvg_D40pA'                 
    [114]    'PulseSpikeAmplitudeMean_D40pA'        
    [115]    'PulseSpikeAmplitudeMode_D40pA'        
    [116]    'PulseSpikeAmplitudeSTD_D40pA'         
    [117]    'PulseSpikeBaseWidthMean_D40pA'        
    [118]    'PulseSpikeBaseWidthMode_D40pA'        
    [119]    'PulseSpikeBaseWidthSTD_D40pA'         
    [120]    'PulseSpikeFallTimeMean_D40pA'         
    [121]    'PulseSpikeFallTimeMode_D40pA'         
    [122]    'PulseSpikeFallTimeSTD_D40pA'          
    [123]    'PulseSpikeHalfWidthMean_D40pA'        
    [124]    'PulseSpikeHalfWidthMode_D40pA'        
    [125]    'PulseSpikeHalfWidthSTD_D40pA'         
    [126]    'PulseSpikeInitVmBySlopeMean_D40pA'    
    [127]    'PulseSpikeInitVmBySlopeMode_D40pA'    
    [128]    'PulseSpikeInitVmBySlopeSTD_D40pA'     
    [129]    'PulseSpikeInitVmMean_D40pA'           
    [130]    'PulseSpikeInitVmMode_D40pA'           
    [131]    'PulseSpikeInitVmSTD_D40pA'            
    [132]    'PulseSpikeMaxAHPMean_D40pA'           
    [133]    'PulseSpikeMaxAHPMode_D40pA'           
    [134]    'PulseSpikeMaxAHPSTD_D40pA'            
    [135]    'PulseSpikeMaxVmSlopeMean_D40pA'       
    [136]    'PulseSpikeMaxVmSlopeMode_D40pA'       
    [137]    'PulseSpikeMaxVmSlopeSTD_D40pA'        
    [138]    'PulseSpikeMinTimeMean_D40pA'          
    [139]    'PulseSpikeMinTimeMode_D40pA'          
    [140]    'PulseSpikeMinTimeSTD_D40pA'           
    [141]    'PulseSpikeRiseTimeMean_D40pA'         
    [142]    'PulseSpikeRiseTimeMode_D40pA'         
    [143]    'PulseSpikeRiseTimeSTD_D40pA'          
    [144]    'PulseISICV_D100pA'                    
    [145]    'PulseSFA_D100pA'                      
    [146]    'PulseIni100msISICV_D100pA'            
    [147]    'PulseIni100msRest1SpikeRate_D100pA'   
    [148]    'PulseIni100msRest2SpikeRate_D100pA'   
    [149]    'PulseIni100msRest1SpikeRateISI_D100pA'
    [150]    'PulseIni100msRest2SpikeRateISI_D100pA'
    [151]    'PulseIni100msSpikeRate_D100pA'        
    [152]    'PulseIni100msSpikeRateISI_D100pA'     
    [153]    'PulsePotAvg_D100pA'                   
    [154]    'PulseSpikeAmpDecayTau_D100pA'         
    [155]    'PulseSpikeAmpDecayDelta_D100pA'       
    [156]    'RecSpont1SpikeRate_D100pA'            
    [157]    'RecSpont2SpikeRate_D100pA'            
    [158]    'RecSpont1SpikeRateISI_D100pA'         
    [159]    'RecSpont2SpikeRateISI_D100pA'         
    [160]    'RecSpontFirstISI_D100pA'              
    [161]    'RecSpontFirstSpikeTime_D100pA'        
    [162]    'RecSpontISICV_D100pA'                 
    [163]    'RecSpontPotAvg_D100pA'                
    [164]    'PulseSpikeAmplitudeMean_D100pA'       
    [165]    'PulseSpikeAmplitudeMode_D100pA'       
    [166]    'PulseSpikeAmplitudeSTD_D100pA'        
    [167]    'PulseSpikeBaseWidthMean_D100pA'       
    [168]    'PulseSpikeBaseWidthMode_D100pA'       
    [169]    'PulseSpikeBaseWidthSTD_D100pA'        
    [170]    'PulseSpikeFallTimeMean_D100pA'        
    [171]    'PulseSpikeFallTimeMode_D100pA'        
    [172]    'PulseSpikeFallTimeSTD_D100pA'         
    [173]    'PulseSpikeHalfWidthMean_D100pA'       
    [174]    'PulseSpikeHalfWidthMode_D100pA'       
    [175]    'PulseSpikeHalfWidthSTD_D100pA'        
    [176]    'PulseSpikeInitVmBySlopeMean_D100pA'   
    [177]    'PulseSpikeInitVmBySlopeMode_D100pA'   
    [178]    'PulseSpikeInitVmBySlopeSTD_D100pA'    
    [179]    'PulseSpikeInitVmMean_D100pA'          
    [180]    'PulseSpikeInitVmMode_D100pA'          
    [181]    'PulseSpikeInitVmSTD_D100pA'           
    [182]    'PulseSpikeMaxAHPMean_D100pA'          
    [183]    'PulseSpikeMaxAHPMode_D100pA'          
    [184]    'PulseSpikeMaxAHPSTD_D100pA'           
    [185]    'PulseSpikeMaxVmSlopeMean_D100pA'      
    [186]    'PulseSpikeMaxVmSlopeMode_D100pA'      
    [187]    'PulseSpikeMaxVmSlopeSTD_D100pA'       
    [188]    'PulseSpikeMinTimeMean_D100pA'         
    [189]    'PulseSpikeMinTimeMode_D100pA'         
    [190]    'PulseSpikeMinTimeSTD_D100pA'          
    [191]    'PulseSpikeRiseTimeMean_D100pA'        
    [192]    'PulseSpikeRiseTimeMode_D100pA'        
    [193]    'PulseSpikeRiseTimeSTD_D100pA'         
    [194]    'RecovSpikeAmplitudeMean_D100pA'       
    [195]    'RecovSpikeAmplitudeMode_D100pA'       
    [196]    'RecovSpikeAmplitudeSTD_D100pA'        
    [197]    'RecovSpikeBaseWidthMean_D100pA'       
    [198]    'RecovSpikeBaseWidthMode_D100pA'       
    [199]    'RecovSpikeBaseWidthSTD_D100pA'        
    [200]    'RecovSpikeFallTimeMean_D100pA'        
    [201]    'RecovSpikeFallTimeMode_D100pA'        
    [202]    'RecovSpikeFallTimeSTD_D100pA'         
    [203]    'RecovSpikeHalfWidthMean_D100pA'       
    [204]    'RecovSpikeHalfWidthMode_D100pA'       
    [205]    'RecovSpikeHalfWidthSTD_D100pA'        
    [206]    'RecovSpikeInitVmBySlopeMean_D100pA'   
    [207]    'RecovSpikeInitVmBySlopeMode_D100pA'   
    [208]    'RecovSpikeInitVmBySlopeSTD_D100pA'    
    [209]    'RecovSpikeInitVmMean_D100pA'          
    [210]    'RecovSpikeInitVmMode_D100pA'          
    [211]    'RecovSpikeInitVmSTD_D100pA'           
    [212]    'RecovSpikeMaxAHPMean_D100pA'          
    [213]    'RecovSpikeMaxAHPMode_D100pA'          
    [214]    'RecovSpikeMaxAHPSTD_D100pA'           
    [215]    'RecovSpikeMaxVmSlopeMean_D100pA'      
    [216]    'RecovSpikeMaxVmSlopeMode_D100pA'      
    [217]    'RecovSpikeMaxVmSlopeSTD_D100pA'       
    [218]    'RecovSpikeMinTimeMean_D100pA'         
    [219]    'RecovSpikeMinTimeMode_D100pA'         
    [220]    'RecovSpikeMinTimeSTD_D100pA'          
    [221]    'RecovSpikeRiseTimeMean_D100pA'        
    [222]    'RecovSpikeRiseTimeMode_D100pA'        
    [223]    'RecovSpikeRiseTimeSTD_D100pA'         
    [224]    'PulseISICV_D200pA'                    
    [225]    'PulseSFA_D200pA'                      
    [226]    'PulseIni100msISICV_D200pA'            
    [227]    'PulseIni100msRest1SpikeRate_D200pA'   
    [228]    'PulseIni100msRest2SpikeRate_D200pA'   
    [229]    'PulseIni100msRest1SpikeRateISI_D200pA'
    [230]    'PulseIni100msRest2SpikeRateISI_D200pA'
    [231]    'PulseIni100msSpikeRate_D200pA'        
    [232]    'PulseIni100msSpikeRateISI_D200pA'     
    [233]    'PulsePotAvg_D200pA'                   
    [234]    'PulseSpikeAmpDecayTau_D200pA'         
    [235]    'PulseSpikeAmpDecayDelta_D200pA'       
    [236]    'RecIniSpontPotRatio_D200pA'           
    [237]    'RecIniSpontRateRatio_D200pA'          
    [238]    'RecSpont1SpikeRate_D200pA'            
    [239]    'RecSpont2SpikeRate_D200pA'            
    [240]    'RecSpont1SpikeRateISI_D200pA'         
    [241]    'RecSpont2SpikeRateISI_D200pA'         
    [242]    'RecSpontFirstISI_D200pA'              
    [243]    'RecSpontFirstSpikeTime_D200pA'        
    [244]    'RecSpontISICV_D200pA'                 
    [245]    'RecSpontPotAvg_D200pA'                
    [246]    'PulseSpikeAmplitudeMean_D200pA'       
    [247]    'PulseSpikeAmplitudeMode_D200pA'       
    [248]    'PulseSpikeAmplitudeSTD_D200pA'        
    [249]    'PulseSpikeBaseWidthMean_D200pA'       
    [250]    'PulseSpikeBaseWidthMode_D200pA'       
    [251]    'PulseSpikeBaseWidthSTD_D200pA'        
    [252]    'PulseSpikeFallTimeMean_D200pA'        
    [253]    'PulseSpikeFallTimeMode_D200pA'        
    [254]    'PulseSpikeFallTimeSTD_D200pA'         
    [255]    'PulseSpikeHalfWidthMean_D200pA'       
    [256]    'PulseSpikeHalfWidthMode_D200pA'       
    [257]    'PulseSpikeHalfWidthSTD_D200pA'        
    [258]    'PulseSpikeInitVmBySlopeMean_D200pA'   
    [259]    'PulseSpikeInitVmBySlopeMode_D200pA'   
    [260]    'PulseSpikeInitVmBySlopeSTD_D200pA'    
    [261]    'PulseSpikeInitVmMean_D200pA'          
    [262]    'PulseSpikeInitVmMode_D200pA'          
    [263]    'PulseSpikeInitVmSTD_D200pA'           
    [264]    'PulseSpikeMaxAHPMean_D200pA'          
    [265]    'PulseSpikeMaxAHPMode_D200pA'          
    [266]    'PulseSpikeMaxAHPSTD_D200pA'           
    [267]    'PulseSpikeMaxVmSlopeMean_D200pA'      
    [268]    'PulseSpikeMaxVmSlopeMode_D200pA'      
    [269]    'PulseSpikeMaxVmSlopeSTD_D200pA'       
    [270]    'PulseSpikeMinTimeMean_D200pA'         
    [271]    'PulseSpikeMinTimeMode_D200pA'         
    [272]    'PulseSpikeMinTimeSTD_D200pA'          
    [273]    'PulseSpikeRiseTimeMean_D200pA'        
    [274]    'PulseSpikeRiseTimeMode_D200pA'        
    [275]    'PulseSpikeRiseTimeSTD_D200pA'         
    [276]    'PulsePotSagDivMin_H100pA'             
    [277]    'InputResGOhm_HpA'                     
    [278]    'InputCappF_HpA'                       
    [279]    'IniRecISIRatio_H100pA'                
    [280]    'PulseSFARatio_D100pA'                 
    [281]    'RecIniSpontRateRatio_H100pA'          
    [282]    'RecIniSpontRateRatio_D100pA'          
    [283]    'PulseSpontAmpRatio_D40pA'             
    [284]    'PulseSpontAmpRatio_D100pA'            
    [285]    'PulseSpontAmpRatio_D200pA'            
    [286]    'RecIniSpontPotRatio_H100pA'           
    [287]    'RecIniSpontPotRatio_D100pA'           
    [288]    'RowIndex'                             

Optional properties of tests_db:

ans = 

    invarName: 'KCNQ'

>> t_seth = trace('data_42_trial_0_pAcip_seth.bin', 1e-4, 1e-3, 'Seth Koenig', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_42_trial_0_pAcip_seth.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Seth Koenig

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Seth Koenig'
    props: [1x1 struct]

>> getProfileAllSpikes(t_seth)
{Warning: Error in Seth Koenig ( spike#3): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Seth Koenig ( spike#3)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Seth Koenig ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Seth Koenig ( spike#5): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Seth Koenig ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Seth Koenig ( spike#7): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Seth Koenig ( spike#7)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Seth Koenig ( spike#8): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Seth Koenig ( spike#8)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Seth Koenig ( spike#10): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Seth Koenig ( spike#10)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Seth Koenig ( spike#11): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Seth Koenig ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Seth Koenig ( spike#12): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Seth Koenig ( spike#12)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Seth Koenig ( spike#13): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Seth Koenig ( spike#13)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Seth Koenig ( spike#15)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Seth Koenig ( spike#16): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Seth Koenig ( spike#16)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Seth Koenig ( spike#17)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, Seth Koenig

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Seth Koenig

ans = 

    results: [1x1 struct]
         id: 'Seth Koenig'
      props: [0x0 struct]

                     ISICV: 0.0028
                 SpikeRate: 8.9474
              SpikeRateISI: 8.9161
                       avg: -64.8449
                       max: 34.6661
                       min: -68.7646
        SpikeAmplitudeMean: 85.8036
        SpikeAmplitudeMode: 84.6903
         SpikeAmplitudeSTD: 0.9487
        SpikeBaseWidthMean: 1.4587
        SpikeBaseWidthMode: 1.3591
         SpikeBaseWidthSTD: 0.1165
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.0647
         SpikeFallTimeMode: 1.0995
          SpikeFallTimeSTD: 0.0493
        SpikeFixVWidthMean: 0.7581
        SpikeFixVWidthMode: 0.7556
         SpikeFixVWidthSTD: 0.0039
           SpikeHalfVmMean: -8.5803
           SpikeHalfVmMode: -8.5289
            SpikeHalfVmSTD: 0.3575
        SpikeHalfWidthMean: 0.7421
        SpikeHalfWidthMode: 0.7364
         SpikeHalfWidthSTD: 0.0037
         SpikeInitTimeMean: 6.6813
         SpikeInitTimeMode: 6.6987
          SpikeInitTimeSTD: 0.0995
    SpikeInitVmBySlopeMean: -51.1483
    SpikeInitVmBySlopeMode: -51.4504
     SpikeInitVmBySlopeSTD: 0.3568
           SpikeInitVmMean: -51.4821
           SpikeInitVmMode: -52.7429
            SpikeInitVmSTD: 0.8034
           SpikeMaxAHPMean: 17.2345
           SpikeMaxAHPMode: 16.0442
            SpikeMaxAHPSTD: 0.7964
       SpikeMaxVmSlopeMean: 374.7368
       SpikeMaxVmSlopeMode: 387.3538
        SpikeMaxVmSlopeSTD: 19.7352
          SpikeMinTimeMean: 27.8882
          SpikeMinTimeMode: 27.8980
           SpikeMinTimeSTD: 0.1269
            SpikeMinVmMean: -68.7167
            SpikeMinVmMode: -68.7097
             SpikeMinVmSTD: 0.0149
           SpikePeakVmMean: 34.3214
           SpikePeakVmMode: 34.3519
            SpikePeakVmSTD: 0.2454
         SpikeRiseTimeMean: 0.3940
         SpikeRiseTimeMode: 0.3560
          SpikeRiseTimeSTD: 0.0868
                    Spikes: 17

>> 95*.9

ans =

   85.5000

>> 613.50/60

ans =

   10.2250

>> 8.25 + (60+58)/80

ans =

    9.7250

>> 30*8.25+60+58

ans =

  365.5000

>> dbsize(gp_db_red(gp_db_red(:, 'PulseISICV_D200pA') >= 0 & gp_db_red(:, 'PulseISICV_D200pA') < .1, :))

ans =

        5919         297

>> t_nichols = trace('data_43_trial_0_pAcip_nichols.bin', 1e-4, 1e-3, 'Mike Nichols', struct('trace_time_start', 1000, 'scale_y', 1e3))
readgenesis: data_43_trial_0_pAcip_nichols.bin, trace 1 of 1 (20000 points @ 10 kHz)
trace, id=Mike Nichols

ans = 

     data: [19001x1 double]
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Mike Nichols'
    props: [1x1 struct]

>> plot(t_nichols)

ans =

    10

>> getProfileAllSpikes(t_nichols)
{Warning: Error in Mike Nichols ( spike#1): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#1)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Mike Nichols ( spike#2): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#2)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Mike Nichols ( spike#3): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#3)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Mike Nichols ( spike#5): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#5)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#6)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Mike Nichols ( spike#7): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#7)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Mike Nichols ( spike#8): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#8)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Mike Nichols ( spike#9): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#9)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Mike Nichols ( spike#10): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#10)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Mike Nichols ( spike#11): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Mike Nichols ( spike#12): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#12)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Error in Mike Nichols ( spike#13): Error using ==>
spike_shape.calcInitVmMaxCurvPhasePlane>findMax at 323
No local maxima found!} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 179
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: vPP curvature ignored, v' > 15 for Mike Nichols ( spike#13)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
trace_allspikes_profile, Mike Nichols

ans = 

              trace: [1x1 trace]
             spikes: [1x1 spikes]
          spikes_db: [1x1 spikes_db]
              props: [1x1 struct]
    results_profile: [1x1 results_profile]

results_profile, Mike Nichols

ans = 

    results: [1x1 struct]
         id: 'Mike Nichols'
      props: [0x0 struct]

                     ISICV: 0.0042
                 SpikeRate: 6.8421
              SpikeRateISI: 6.6593
                       avg: -64.9553
                       max: 45.6806
                       min: -70.3503
        SpikeAmplitudeMean: 97.1135
        SpikeAmplitudeMode: 96.3998
         SpikeAmplitudeSTD: 0.4738
        SpikeBaseWidthMean: 2.1988
        SpikeBaseWidthMode: 2.1995
         SpikeBaseWidthSTD: 0.0481
          SpikeDAHPMagMean: NaN
          SpikeDAHPMagMode: 0
           SpikeDAHPMagSTD: NaN
         SpikeFallTimeMean: 1.8231
         SpikeFallTimeMode: 1.8005
          SpikeFallTimeSTD: 0.0439
        SpikeFixVWidthMean: 1.2380
        SpikeFixVWidthMode: 1.2268
         SpikeFixVWidthSTD: 0.0063
           SpikeHalfVmMean: -3.2116
           SpikeHalfVmMode: -3.4539
            SpikeHalfVmSTD: 0.1729
        SpikeHalfWidthMean: 1.1347
        SpikeHalfWidthMode: 1.1274
         SpikeHalfWidthSTD: 0.0048
         SpikeInitTimeMean: 6.7288
         SpikeInitTimeMode: 6.7005
          SpikeInitTimeSTD: 0.0431
    SpikeInitVmBySlopeMean: -51.7683
    SpikeInitVmBySlopeMode: -51.5622
     SpikeInitVmBySlopeSTD: 0.3903
           SpikeInitVmMean: -51.7683
           SpikeInitVmMode: -51.5622
            SpikeInitVmSTD: 0.3903
           SpikeMaxAHPMean: 18.5743
           SpikeMaxAHPMode: 18.7787
            SpikeMaxAHPSTD: 0.3898
       SpikeMaxVmSlopeMean: 432.0950
       SpikeMaxVmSlopeMode: 393.5029
        SpikeMaxVmSlopeSTD: 26.6591
          SpikeMinTimeMean: 31.9462
          SpikeMinTimeMode: 31.9005
           SpikeMinTimeSTD: 0.0776
            SpikeMinVmMean: -70.3426
            SpikeMinVmMode: -70.3501
             SpikeMinVmSTD: 0.0035
           SpikePeakVmMean: 45.3452
           SpikePeakVmMode: 45.3523
            SpikePeakVmSTD: 0.1402
         SpikeRiseTimeMean: 0.3758
         SpikeRiseTimeMode: 0.3997
          SpikeRiseTimeSTD: 0.0225
                    Spikes: 13

>> dbsize(gp_db_red(gp_db_red(:, 'PulsePotAvg_D100pA') > -60 & gp_db_red(:, 'PulsePotAvg_D100pA') < 0, :))

ans =

        4838         297

>> dbsize(gp_db_red(gp_db_red(:, 'PulsePotAvg_D100pA') > -60 & gp_db_red(:, 'PulsePotAvg_D100pA') < 0, :))

ans =

        4838         297

>> close all
>> ls ~/tmp/
03-Pipes Honour.mp3
06. mouse on mars - 1001.mp3
08 - A Tout Le Monde (Set Me Free).mp3
1-02 Colgrass, Urban Requiem.m4a
a2.pdf
a2.ps
a2.ps~
aa-cnets-fall2011.pdf
amazonmp3.deb
amazonmp3.rpm
Amira541-LinuxAMD64.tar.gz
Amira541-Win32VC8.exe
a.ps
ati-driver-installer-9.2-x86.x86_64.run
aydin_IMG_4053.JPG
baines-Kfast-inact-cannot-be-lower.pdf
bayoumiRec.doc
britain-cambridge-1500px.png
brute_scripts_svn.dump
celldata
cengique_6e73895dca9e8ee7d75bfeecc462232f.zip
cengiz - aydindan.jpg
cengiz-laotse-cvsrep.tar.bz2
cengiz_p1_submitted_R1_022108_all.pdf
cengiz_p1_supp_mat_tables_R2_v3_djv1.doc
CG-x86_64-patch.diff
Cha OK371 images.odt
CompNeuroHW10
daily-backup
dom01.JPG
dom02.JPG
dom18.JPG
dom35.JPG
dsc03898_cropped.jpg
dsc03898.jpg
dvorak-layout.eps
dvorak-layout.pdf
finnix-103.iso
FlyBase_Fields_download.txt
genesis-2.3-Linux-bin.tar.bz2
genesis-2.3-src.tar.bz2
gmail-contacts-filtered.csv
gmail-import-address.csv
GrayMatter-DEMO_efigs.zip
Gunay_Edgerton_Jaeger_2008_JNS_GP_Model_Scripts.zip
GunayEdgertonJaeger2008.zip
hpdjt1100serieswumps
Image:Ist1_tanitim_level_subat_98.pdf
index.html
Ist1_tanitim_level_subat_98.pdf
jobs.sql.zip
L1-WT-inact-avg.png
L3-aCC-RP2-snapshot1.png
Layout2.pdf
lyx
Mathematica_8.0.1_LINUX_MachineSpecific.iso
mathworks_downloads
matlab-r18-2007b-unix-mac-license-thruSep2008.txt
matlab-r2007b-unix-mac-license-thruSep2008.txt
mendeleydesktop-0.9.9.2-linux-i486.tar.bz2
ndvis
ndvis.zip
netstat-wo-skype.log
netstat-w-skype.log
neuroConstruct_unix_1_5_2.sh
neuroidnet
neuroidnet-src.jar
neuroidnet.zip
notify_moderators.zip
nrn-7.1.x86_64.rpm
nxclient-3.5.0-7.i386.rpm
nxclient-3.5.0-7.x86_64.rpm
nxnode-3.5.0-3.i386.rpm
nxnode-3.5.0-3.x86_64.rpm
nxserver-3.5.0-4.i386.rpm
nxserver-3.5.0-4.x86_64.rpm
openSUSE-11.2-DVD-x86_64.iso
openSUSE-11.2-DVD-x86_64.iso.torrent
P1080445_cropped.JPG
P1080445.JPG
paper.pdf
paper.txt
pasaport
password.dat
picasa-3.0-current.i386.rpm
posterCNS11.pdf
posterSFN11.pdf
power of nightmares (2004).mpg
prinzlab-usb-stick1
readNeuronVecAscii.m
readNeuronVecAscii.m~
Samsung_CNP770ND-UnifiedLinuxDriver_1.00.tar.gz
secme
simEngine_lin_64_1.2preview_BUILD_3760.tgz
swftools-2011-01-23-1815.tar.gz
treatPhysDB.m
tremulous-1.1.0-installer.x86.run
ubuntu
vlad.m~
Wow.ogg
Wow.ogg.m3u
yesterday_-the_azeri_way.mp3

>> %a_fs = params_tests_fileset('~/tmp/CompNeuroHW10/*_0_pAcip.bin', 1e-4, 1e-3, 'NaF doublet', struct('trace_time_start', 1000, 'scale_y', 1e3, 'param_row_filename', 'naf_doublet.par', 'param_desc_filename', 'naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes'))
>> ls ~/tmp/CompNeuroHW10/
data_10_trial_0_pAcip.bin  data_14_trial_0_pAcip.bin  data_4_trial_0_pAcip.bin
data_11_trial_0_pAcip.bin  data_1_trial_0_pAcip.bin   data_5_trial_0_pAcip.bin
data_12_trial_0_pAcip.bin  data_2_trial_0_pAcip.bin
data_13_trial_0_pAcip.bin  data_3_trial_0_pAcip.bin

>> a_fs = params_tests_fileset('~/tmp/CompNeuroHW10/*_0_pAcip.bin', 1e-4, 1e-3, 'Claire big-endian files', struct('trace_time_start', 10000, 'scale_y', 1e3, 'param_row_filename', 'naf_doublet.par', 'param_desc_filename', 'naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes'))
{??? Error using ==> dlmread at 62
The file 'naf_doublet.par' could not be opened because: No such file or
directory

Error in ==> params_tests_fileset.params_tests_fileset at 140
    param_rows = dlmread(props.param_row_filename);
} 
>> pwd

ans =

/home/cengiz/Documents/writings/brute-force/database-analysis-lecture/GunayEdgertonJaeger2008/runs/run_sample/data

>> ls
brute_20.save  data_20_trial_0_pAcip_trinity.bin
brute_21.save  data_21_trial_0_pAcip_trinity_NaP_2.bin
brute_22.save  data_22_trial_0_pAcip_trinity_NaP_2_KCNQ_4_5.bin
brute_23.save  data_23_trial_0_pAcip.bin
brute_24.save  data_24_trial_0_pAcip_trinity_NaF_700.bin
brute_25.save  data_25_trial_0_pAcip_Kv4_640.bin
brute_26.save  data_26_trial_0_pAcip_NaP_2_Kv4_620.bin
brute_27.save  data_27_trial_0_pAcip_charles.bin
brute_28.save  data_28_trial_0_pAcip_trinity_NaP_2_CaHVA_5.bin
brute_29.save  data_29_trial_0_pAcip_clarissa.bin
brute_30.save  data_30_trial_0_pAcip_trinity_NAP_2_SK_256.bin
brute_42.save  data_42_trial_0_pAcip_seth.bin
brute_43.save  data_43_trial_0_pAcip_nichols.bin
brute_53.save  data_53_trial_0_pAcip_claire.bin
brute_64.save  data_64_trial_0_pAcip_kunal.bin

>> cd ..
>> ls
create_perlhash_param_db		 paramScanSingle.pl
data					 readGPparams.g
dosim					 runbatch_local_perlhash.sh
dosimnum				 run_genesis.sh
find_missing.sh				 setup_1cip.g
morph3_addedNaF_HCN_KCNQ_lower_vals.par  setup.g
naf_doublet.par				 setup_saveItot.cpp
naf_doublet.par.db			 setup-test.g
naf_doublet.txt				 sge_perlhash.sh
paramRangesMorphAddedNaF.txt		 sge_submit
paramRangesMorph.txt			 worknodes

>> a_fs = params_tests_fileset('~/tmp/CompNeuroHW10/*_0_pAcip.bin', 1e-4, 1e-3, 'Claire big-endian files', struct('trace_time_start', 10000, 'scale_y', 1e3, 'param_row_filename', 'naf_doublet.par', 'param_desc_filename', 'naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes'))
params_tests_fileset, Claire big-endian files

ans = 

                    path: '~/tmp/CompNeuroHW10'
    params_tests_dataset: [1x1 params_tests_dataset]

params_tests_dataset, Claire big-endian files

ans = 

     list: {1x10 cell}
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Claire big-endian files'
    props: [1x1 struct]

Optional properties of params_tests_dataset:

ans = 

       trace_time_start: 10000
                scale_y: 1000
     param_row_filename: 'naf_doublet.par'
    param_desc_filename: 'naf_doublet.txt'
    profile_method_name: 'getProfileAllSpikes'
             param_rows: [6x11 double]
            param_names: {1x11 cell}

>> t_db = params_tests_db(a_fs)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60

readgenesis: could not open file '~/tmp/CompNeuroHW10/data_10_trial_0_pAcip.bin'
{Warning: Error caught during database creation, before starting to read items:
Error using ==> readgenesis

readgenesis: error... see output above. Returning empty database.} 
> In params_tests_dataset.readDBItems at 50
  In params_tests_dataset.params_tests_db at 60
Stack trace:
  /home/cengiz/work/pandora/classes/@trace/trace.m at 181 (trace).
  /home/cengiz/work/pandora/classes/@params_tests_fileset/trace.m at 57 (trace).
  /home/cengiz/work/pandora/classes/@params_tests_fileset/loadItemProfile.m at 35 (loadItemProfile).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/testNames.m at 40 (testNames).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m at 41 (readDBItems).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/params_tests_db.m at 60 (params_tests_db).
Error in ==> params_tests_dataset.readDBItems at 35
if ~ exist('items', 'var')

{??? Output argument "docs" (and maybe others) not assigned during call to
"/home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m>readDBItems".

Error in ==> params_tests_dataset.params_tests_db at 60
[params, param_names, tests, test_names, a_doc] = readDBItems(args{:});
} 
>> help trace
  trace - Load a generic data trace. It can be membrane voltage, current, etc.
 
  Usage:
  obj = trace(data_src, dt, dy, id, props)
 
  Description:
    This object is designed to recognize most data file formats. See the
  data_src parameter below. Traces for specific experimental or simulation
  protocols can extend this class for adding new parameters.
 
  Parameters:
     data_src: Trace data as a column vector OR name of a data file generated by either 
 	Genesis (.bin, .gbin, .genflac), Neuron, PCDX (.all), Matlab (.mat) or
 	NeuroShare (.nsn, .nev, .stb, .plx, .nex, .map, .son, .smr, .mcd) files.
     dt: Time resolution in [s], unless specified in Neuron ASCII, HDF5 or NeuroShare file.
     dy: y-axis resolution in [ISI (V, A, etc.)], unless specified in HDF5 or NeuroShare file.
     id: Identification string
     props: A structure with any optional properties.
 	  scale_y: Y-axis scale to be applied to loaded data.
 	  offset_y: Y-axis offset to be added to loaded and scaled data.
 	  unit_y: Unit of Y-axis as in 'V' or 'A' (default='V').
          y_label: String to put on Y-axis of plots.
 	  trace_time_start: Samples in the beginning to discard [dt]
 	  baseline: Resting potential.
 	  channel: Channel to read from file Genesis, PCDX, NeuroShare or
 	  	   Neuron file, or column in a data vector.
 	  file_type: Specify file type instead of guessing from extension:
 		'genesis': Raw binary files created with Genesis disk_out method.
 		'genesis_flac': Compressed Genesis binary files.
 		'neuron': Binary files created with Neuron's Vector.vwrite method.
 		'neuronascii': Ascii files created from Neuron's Vector objects. 
 			       Uses time step in file to scale given dt (Must be in ms).
 		'pcdx': .ALL data acquisition files from PCDX program.
 		'matlab': Matlab .MAT binary files with matrix data.
 		'neuroshare': One of the vendor formats recognized by
 			NeuroShare Windows DLLs. See above and http://neuroshare.org. A
 			scale_y value may need to be supplied to get the correct units.
 		'abf': AxoClamp .ABF format read with abf2load from Matlab FileExchange.
          file_endian: 'l' for little endian and 'b' for big endian
            (default='n', for native endian). See machineformat option 
 	    in fopen for more info.
          traces: Trace numbers as a numeric array or as a string with
          	numeric ranges (e.g., '1 2 5-10 28') for PCDX files.
 	  spike_finder: Method of finding spikes 
 	                (1 for findFilteredSpikes, 2 for Li Su's
 	                findspikes, and 3 for Alfonso Delgado Reyes's 
 			findspikes_old). Methods 2 and 3 require a threshold.
 	  threshold: Spike finding threshold. For the findspikes method,
 	  	     it is either a scalar, or [thres1 thres2] to define
 	  	     a range. For findFilteredSpikes it is used on the
 	  	     filtered data and the default is 2/3 max amplitude
 	  	     of band-passed data, but with a minimum of 15. 
          downThreshold: (Only for findFilteredSpikes) Size of the trough
          	     after the spike peak in filtered data (Default=-2).
 	  minInit2MaxAmp, minMin2MaxAmp: For spike_shape elimination,
 	  	     conditions of minimal allowed values for 
 	  	     initial point to max point and minimal point to 
 	             max point, respectively (Default=10 for both).
 	  init_Vm_method: Method of finding spike thresholds during spike
 	  		shape calculation (see spike_shape/spike_shape).
 	  init_threshold: Spike initiation threshold (deriv or accel).
 			(see above methods and implementation in calcInitVm)
 	  init_lo_thr, init_hi_thr: Low and high thresholds for slope.
          custom_filter: Recommended if sampling rate differs appreciably from 10 kHz.
                       If custom_filter == 1, a filter with custom lowpass and highpass
                       cutoffs can be specified. This allows for fast and accurate spike
                       discrimination. The filter type used is a 2-pole
                       butterworth, different than the default high-order
                       Cheby2. Creates new prop called 'butterWorth' to
                       hold the filter.
          lowPassFreq: If set, it sets a new low pass cutoff for custom filter. Default is 3000Hz
          highPassFreq: If set it sets a new high pass cutoff for custom filter. Default is 50 Hz
 	  quiet: If 1, reduces the amount of textual description in plots
 	  	and does not add information to id field.
 		
    Returns a structure object with the following fields:
 	data: The trace column matrix.
 	dt, dy, id, props (see above)
 
  General operations on trace objects:
    trace		- Construct a new trace object.
    plot		- Graph the trace.
    display		- Returns and displays the identification string.
    get			- Gets attributes of this object and parents.
    subsref		- Allows usage of . operator.
    calcAvg		- Calculate the average value of the trace period.
    calcMin		- Calculate the minimum value of the trace period.
    calcMax		- Calculate the minimum value of the trace period.
    periodWhole		- Return the whole period of this trace.
    findFilteredSpikes	- Use a band-pass filter to smooth the data and
 			find spikes afterwards. 
    getResults		- Calculates a set of tests.
    spike_shape		- Build a trace of the average spike shape in here.
    spikes		- Build a spikes object with the spikes found here.
 
  Converter methods:
    spikes		- Find the spikes and construct a spikes object.
    spike_shape		- Construct a spike_shape object from this trace.
  
  Additional methods:
 	See methods('trace')
 
  See also: spikes, spike_shape, cip_trace, period
 
  $Id: trace.m 1333 2012-04-19 18:01:11Z cengique $
 
  Author: Cengiz Gunay <cgunay@emory.edu>, 2004/07/30
  Modified:
    - allow custom filter, Thomas D. Sangrey 2007/12/04

    Overloaded methods:
       params_tests_fileset/trace

>> a_fs = params_tests_fileset('~/tmp/CompNeuroHW10/*_0_pAcip.bin', 1e-4, 1e-3, 'Claire big-endian files', struct('trace_time_start', 10000, 'scale_y', 1e3, 'param_row_filename', 'naf_doublet.par', 'param_desc_filename', 'naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes', 'file_endian', 'b'))
params_tests_fileset, Claire big-endian files

ans = 

                    path: '~/tmp/CompNeuroHW10'
    params_tests_dataset: [1x1 params_tests_dataset]

params_tests_dataset, Claire big-endian files

ans = 

     list: {1x10 cell}
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Claire big-endian files'
    props: [1x1 struct]

Optional properties of params_tests_dataset:

ans = 

       trace_time_start: 10000
                scale_y: 1000
     param_row_filename: 'naf_doublet.par'
    param_desc_filename: 'naf_doublet.txt'
    profile_method_name: 'getProfileAllSpikes'
            file_endian: 'b'
             param_rows: [6x11 double]
            param_names: {1x11 cell}

>> t_db = params_tests_db(a_fs)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading ~/tmp/CompNeuroHW10/data_10_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#17)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#21)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#24)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#26)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading: 
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ~/tmp/CompNeuroHW10/data_10_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#17)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#21)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#24)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#26)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Error caught during database creation at item index 1: Error using ==>
params_tests_fileset.getItemParams at 70
Trial number 10 is larger than trials available in the specified param_rows
(6).. Truncating database.} 
> In params_tests_dataset.readDBItems at 123
  In params_tests_dataset.params_tests_db at 60
Item in question is:
data_10_trial_0_pAcip.bin
Stack trace:
  /home/cengiz/work/pandora/classes/@params_tests_fileset/getItemParams.m at 70 (getItemParams).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/itemResultsRow.m at 53 (itemResultsRow).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m at 101 (readDBItems).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/params_tests_db.m at 60 (params_tests_db).
Elapsed time took 0.51 seconds.
size of a_test_results: 0  56
size of test_names: 1  56
size of params: 0  12
size of param_names: 1  12
{??? Error using ==> params_tests_db.params_tests_db at 94
Number of columns in params or a_test_results and items in param_names or
test_names must match. And there should be some data to create the db.

Error in ==> params_tests_dataset.params_tests_db at 64
db_obj = params_tests_db(params, param_names, tests, test_names, ...
} 
>> help computer
 COMPUTER Computer type.
    C = COMPUTER returns string C denoting the type of computer
    on which MATLAB is executing. Possibilities are:
 
                                              ISPC ISUNIX ISMAC ARCHSTR    
    32-Bit Platforms
      PCWIN    - Microsoft Windows on x86       1     0     0   win32
      GLNX86   - Linux on x86                   0     1     0   glnx86
 
    64-Bit Platforms
      PCWIN64  - Microsoft Windows on x64       1     0     0   win64
      GLNXA64  - Linux on x86_64                0     1     0   glnxa64
      MACI64   - Apple Mac OS X on x86_64       0     1     1   maci64
  
    ARCHSTR = COMPUTER('arch') returns string ARCHSTR which is 
    used by the MEX command -arch switch.
 
    [C,MAXSIZE] = COMPUTER returns integer MAXSIZE which 
    contains the maximum number of elements allowed in a matrix
    on this version of MATLAB.
 
    [C,MAXSIZE,ENDIAN] = COMPUTER returns either 'L' for
    little endian byte ordering or 'B' for big endian byte ordering.
 
    See also ispc, isunix, ismac.

    Reference page in Help browser
       doc computer

>> [C,MAXSIZE,ENDIAN] = COMPUTER
{??? Undefined function or variable 'COMPUTER'.
} 
>> [c,maxsize,endian] = computer

c =

GLNXA64


maxsize =

   2.8147e+14


endian =

L

>> t_db = params_tests_db(a_fs)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading ~/tmp/CompNeuroHW10/data_10_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#17)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#21)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#24)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#26)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading: 
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ~/tmp/CompNeuroHW10/data_10_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#17)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#21)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#24)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#26)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Error caught during database creation at item index 1: Error using ==>
params_tests_fileset.getItemParams at 70
Trial number 10 is larger than trials available in the specified param_rows
(6).. Truncating database.} 
> In params_tests_dataset.readDBItems at 123
  In params_tests_dataset.params_tests_db at 60
Item in question is:
data_10_trial_0_pAcip.bin
Stack trace:
  /home/cengiz/work/pandora/classes/@params_tests_fileset/getItemParams.m at 70 (getItemParams).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/itemResultsRow.m at 53 (itemResultsRow).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m at 101 (readDBItems).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/params_tests_db.m at 60 (params_tests_db).
Elapsed time took 0.50 seconds.
size of a_test_results: 0  56
size of test_names: 1  56
size of params: 0  12
size of param_names: 1  12
{??? Error using ==> params_tests_db.params_tests_db at 94
Number of columns in params or a_test_results and items in param_names or
test_names must match. And there should be some data to create the db.

Error in ==> params_tests_dataset.params_tests_db at 64
db_obj = params_tests_db(params, param_names, tests, test_names, ...
} 
>> t_db
{??? Undefined function or variable 't_db'.
} 
>> t_db = params_tests_db(a_fs, 1:6)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading ~/tmp/CompNeuroHW10/data_10_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#17)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#21)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#24)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#26)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading: 
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ~/tmp/CompNeuroHW10/data_10_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#4)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#17)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#21)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#24)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for Claire big-endian files(1) (
spike#26)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Error caught during database creation at item index 1: Error using ==>
params_tests_fileset.getItemParams at 70
Trial number 10 is larger than trials available in the specified param_rows
(6).. Truncating database.} 
> In params_tests_dataset.readDBItems at 123
  In params_tests_dataset.params_tests_db at 60
Item in question is:
data_10_trial_0_pAcip.bin
Stack trace:
  /home/cengiz/work/pandora/classes/@params_tests_fileset/getItemParams.m at 70 (getItemParams).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/itemResultsRow.m at 53 (itemResultsRow).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m at 101 (readDBItems).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/params_tests_db.m at 60 (params_tests_db).
Elapsed time took 0.51 seconds.
size of a_test_results: 0  56
size of test_names: 1  56
size of params: 0  12
size of param_names: 1  12
{??? Error using ==> params_tests_db.params_tests_db at 94
Number of columns in params or a_test_results and items in param_names or
test_names must match. And there should be some data to create the db.

Error in ==> params_tests_dataset.params_tests_db at 64
db_obj = params_tests_db(params, param_names, tests, test_names, ...
} 
>> a_fs = params_tests_fileset('~/tmp/CompNeuroHW10/data_[123456]_trial_0_pAcip.bin', 1e-4, 1e-3, 'Claire big-endian files', struct('trace_time_start', 10000, 'scale_y', 1e3, 'param_row_filename', 'naf_doublet.par', 'param_desc_filename', 'naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes', 'file_endian', 'b'))
{Warning: Pattern "~/tmp/CompNeuroHW10/data_[123456]_trial_0_pAcip.bin" matched
no files.} 
> In params_tests_fileset.params_tests_fileset at 129
{Warning: *** Fatal: No files in dataset!!! ***} 
> In params_tests_fileset.params_tests_fileset at 134
params_tests_fileset, Claire big-endian files

ans = 

                    path: '~/tmp/CompNeuroHW10'
    params_tests_dataset: [1x1 params_tests_dataset]

params_tests_dataset, Claire big-endian files

ans = 

     list: {}
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'Claire big-endian files'
    props: [1x1 struct]

Optional properties of params_tests_dataset:

ans = 

       trace_time_start: 10000
                scale_y: 1000
     param_row_filename: 'naf_doublet.par'
    param_desc_filename: 'naf_doublet.txt'
    profile_method_name: 'getProfileAllSpikes'
            file_endian: 'b'
             param_rows: [6x11 double]
            param_names: {1x11 cell}

>> t_db = params_tests_db(a_fs, 1:6)
{Warning: Error caught during database creation, before starting to read items:
Index exceeds matrix dimensions.. Returning empty database.} 
> In params_tests_dataset.readDBItems at 50
  In params_tests_dataset.params_tests_db at 60
Stack trace:
  /home/cengiz/work/pandora/classes/@params_tests_dataset/getItem.m at 30 (getItem).
  /home/cengiz/work/pandora/classes/@params_tests_fileset/trace.m at 29 (trace).
  /home/cengiz/work/pandora/classes/@params_tests_fileset/loadItemProfile.m at 35 (loadItemProfile).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/testNames.m at 40 (testNames).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m at 41 (readDBItems).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/params_tests_db.m at 60 (params_tests_db).
Error in ==> params_tests_dataset.readDBItems at 35
if ~ exist('items', 'var')

{??? Output argument "docs" (and maybe others) not assigned during call to
"/home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m>readDBItems".

Error in ==> params_tests_dataset.params_tests_db at 60
[params, param_names, tests, test_names, a_doc] = readDBItems(args{:});
} 
>> pwd

ans =

/home/cengiz/Documents/writings/brute-force/database-analysis-lecture/GunayEdgertonJaeger2008/runs/run_sample

>> ls data
brute_20.save  data_20_trial_0_pAcip_trinity.bin
brute_21.save  data_21_trial_0_pAcip_trinity_NaP_2.bin
brute_22.save  data_22_trial_0_pAcip_trinity_NaP_2_KCNQ_4_5.bin
brute_23.save  data_23_trial_0_pAcip.bin
brute_24.save  data_24_trial_0_pAcip_trinity_NaF_700.bin
brute_25.save  data_25_trial_0_pAcip_Kv4_640.bin
brute_26.save  data_26_trial_0_pAcip_NaP_2_Kv4_620.bin
brute_27.save  data_27_trial_0_pAcip_charles.bin
brute_28.save  data_28_trial_0_pAcip_trinity_NaP_2_CaHVA_5.bin
brute_29.save  data_29_trial_0_pAcip_clarissa.bin
brute_30.save  data_30_trial_0_pAcip_trinity_NAP_2_SK_256.bin
brute_42.save  data_42_trial_0_pAcip_seth.bin
brute_43.save  data_43_trial_0_pAcip_nichols.bin
brute_53.save  data_53_trial_0_pAcip_claire.bin
brute_64.save  data_64_trial_0_pAcip_kunal.bin

>> ls
create_perlhash_param_db		 paramScanSingle.pl
data					 readGPparams.g
dosim					 runbatch_local_perlhash.sh
dosimnum				 run_genesis.sh
find_missing.sh				 setup_1cip.g
morph3_addedNaF_HCN_KCNQ_lower_vals.par  setup.g
naf_doublet.par				 setup_saveItot.cpp
naf_doublet.par.db			 setup-test.g
naf_doublet.txt				 sge_perlhash.sh
paramRangesMorphAddedNaF.txt		 sge_submit
paramRangesMorph.txt			 worknodes

>> ls ../../
common	README	runs

>> ls ../../../
2012-spring-session20-21-homework-10.pdf
2012-spring-session20-21-homework.doc
2012-spring-session20-21-homework-keys.doc
action potential.png
CentralPatternGeneratorLecture.ppt
data
data2
data-old
giant-squid.jpg
gp_db_red.mat
GP-model-large-param-database.pdf
GP-model-large-param-database.ppt
GPslides.ppt
GunayEdgertonJaeger2008
GunayEdgertonJaeger2008_IBS534.zip
Hendrickson-2010-reduced-GP-models
Hendrickson-2010-reduced-GP-models.zip
Hudson and Prinz (2010) Fig 6.png
hw10-todo
IBS534_2012_s20_CG_handout.doc
IBS534_2012_s21_search_algo_DBs_handout_CG.doc
lecture11-AP.ppt
lecture12-AP - part 1.ppt
lecture12-AP - part 2.ppt
lecture21-CG-handout.doc
lecture21-CG.pdf
lecture21-CG.ppt
Lecture 25 12-04 Pattern generation.ppt
lobster homarus americanus.png
matlab-session_2012-04-06_handout-and-homework.log
matlab-session_2012-04-06_handout-and-homework.log~
model_bundle_morph3_addedNaF_HCN_KCNQ_comp_3.mat
naf_doublet.par
naf_doublet.txt
pandoras-box-dieter.png
present-dieter-class.lyx
present-dieter-class.pdf
present_references.lyx
runbatch_local_perlhash.sh
setup_1cip.g
stomatogastric ganglion.png
supp_mat_1_code.m
supp_mat_1_dat.mat
supp_mat_2_code.m
supp_mat_2_dat.mat

>> ls ../../../data-old
brute_1.save  data1_0_pAcip.bin    data2_100_pAcip.bin
brute_2.save  data1_100_pAcip.bin  data3_0_pAcip.bin
brute_3.save  data2_0_pAcip.bin    data3_100_pAcip.bin

>> ls ../../../data2
brute_10.save  brute_6.save	     data2_0_pAcip.bin	   data6_0_pAcip.bin
brute_1.save   brute_7.save	     data30_0_pAcip.bin    data6_100_pAcip.bin
brute_20.save  brute_8.save	     data30_100_pAcip.bin  data7_0_pAcip.bin
brute_2.save   brute_9.save	     data3_0_pAcip.bin	   data7_100_pAcip.bin
brute_30.save  data10_0_pAcip.bin    data3_100_pAcip.bin   data8_0_pAcip.bin
brute_3.save   data10_100_pAcip.bin  data4_100_pAcip.bin   data8_100_pAcip.bin
brute_4.save   data20_0_pAcip.bin    data5_0_pAcip.bin	   data9_0_pAcip.bin
brute_5.save   data20_100_pAcip.bin  data5_100_pAcip.bin   data9_100_pAcip.bin

>> ls ../../../data
brute_1.save  brute_4.save  data_1_trial_0_pAcip.bin  data_4_trial_0_pAcip.bin
brute_2.save  brute_5.save  data_2_trial_0_pAcip.bin  data_5_trial_0_pAcip.bin
brute_3.save  brute_6.save  data_3_trial_0_pAcip.bin  data_6_trial_0_pAcip.bin

>> ls ../../../data
brute_1.save  brute_4.save  data_1_trial_0_pAcip.bin  data_4_trial_0_pAcip.bin
brute_2.save  brute_5.save  data_2_trial_0_pAcip.bin  data_5_trial_0_pAcip.bin
brute_3.save  brute_6.save  data_3_trial_0_pAcip.bin  data_6_trial_0_pAcip.bin

>> a_fs = params_tests_fileset('../../../data/*_0_pAcip.bin', 1e-4, 1e-3, 'test w/o readgenesis', struct('trace_time_start', 10000, 'scale_y', 1e3, 'param_row_filename', 'naf_doublet.par', 'param_desc_filename', 'naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes', 'file_endian', 'b'))
params_tests_fileset, test w/o readgenesis

ans = 

                    path: '../../../data'
    params_tests_dataset: [1x1 params_tests_dataset]

params_tests_dataset, test w/o readgenesis

ans = 

     list: {1x6 cell}
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'test w/o readgenesis'
    props: [1x1 struct]

Optional properties of params_tests_dataset:

ans = 

       trace_time_start: 10000
                scale_y: 1000
     param_row_filename: 'naf_doublet.par'
    param_desc_filename: 'naf_doublet.txt'
    profile_method_name: 'getProfileAllSpikes'
            file_endian: 'b'
             param_rows: [6x11 double]
            param_names: {1x11 cell}

>> t_db = params_tests_db(a_fs, 1:6)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 841827934361976490164224 Hz
{Warning: Error caught during database creation, before starting to read items:
Error using ==> readgenbin at 74
Frequency outside bounds  1 - 1,000,000 Hz. Make sure to  select the correct
endian parameter!. Returning empty database.} 
> In params_tests_dataset.readDBItems at 50
  In params_tests_dataset.params_tests_db at 60
Stack trace:
  /home/cengiz/work/pandora/functions/readgenbin.m at 74 (readgenbin).
  /home/cengiz/work/pandora/classes/@trace/trace.m at 175 (trace).
  /home/cengiz/work/pandora/classes/@params_tests_fileset/trace.m at 57 (trace).
  /home/cengiz/work/pandora/classes/@params_tests_fileset/loadItemProfile.m at 35 (loadItemProfile).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/testNames.m at 40 (testNames).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m at 41 (readDBItems).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/params_tests_db.m at 60 (params_tests_db).
Error in ==> params_tests_dataset.readDBItems at 35
if ~ exist('items', 'var')

{??? Output argument "docs" (and maybe others) not assigned during call to
"/home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m>readDBItems".

Error in ==> params_tests_dataset.params_tests_db at 60
[params, param_names, tests, test_names, a_doc] = readDBItems(args{:});
} 
>> a_fs = params_tests_fileset('../../../data/*_0_pAcip.bin', 1e-4, 1e-3, 'test w/o readgenesis', struct('trace_time_start', 10000, 'scale_y', 1e3, 'param_row_filename', 'naf_doublet.par', 'param_desc_filename', 'naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes', 'file_endian', 'l'))
params_tests_fileset, test w/o readgenesis

ans = 

                    path: '../../../data'
    params_tests_dataset: [1x1 params_tests_dataset]

params_tests_dataset, test w/o readgenesis

ans = 

     list: {1x6 cell}
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'test w/o readgenesis'
    props: [1x1 struct]

Optional properties of params_tests_dataset:

ans = 

       trace_time_start: 10000
                scale_y: 1000
     param_row_filename: 'naf_doublet.par'
    param_desc_filename: 'naf_doublet.txt'
    profile_method_name: 'getProfileAllSpikes'
            file_endian: 'l'
             param_rows: [6x11 double]
            param_names: {1x11 cell}

>> t_db = params_tests_db(a_fs, 1:6)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_1_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: Not a spike: test w/o readgenesis(1) ( spike#1).} 
> In trace.analyzeSpikesInPeriod at 72
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#45)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading: 
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_1_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: Not a spike: test w/o readgenesis(1) ( spike#1).} 
> In trace.analyzeSpikesInPeriod at 72
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#45)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_2_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(2) ( spike#34)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_3_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(3) ( spike#9)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(3) ( spike#21)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_4_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_5_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_6_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: Spike failed to repolarize.} 
> In spike_shape.calcWidthFall at 74
  In spike_shape.getResults at 120
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Spike failed to repolarize.} 
> In spike_shape.calcWidthFall at 74
  In spike_shape.getResults at 120
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Elapsed time took 6.02 seconds.
params_tests_db, test w/o readgenesis

ans = 

    num_params: 12
      tests_db: [1x1 tests_db]

tests_db, test w/o readgenesis
6 rows in database with 68 columns, and 1 pages.
Column names:
    [ 1]    'NaF'                   
    [ 2]    'NaP'                   
    [ 3]    'Kv2'                   
    [ 4]    'Kv3'                   
    [ 5]    'Kv4'                   
    [ 6]    'KCNQ'                  
    [ 7]    'SK'                    
    [ 8]    'CaHVA'                 
    [ 9]    'HCN'                   
    [10]    'morph'                 
    [11]    'trial'                 
    [12]    'pAcip'                 
    [13]    'ISICV'                 
    [14]    'SpikeRate'             
    [15]    'SpikeRateISI'          
    [16]    'avg'                   
    [17]    'max'                   
    [18]    'min'                   
    [19]    'SpikeAmplitudeMean'    
    [20]    'SpikeAmplitudeMode'    
    [21]    'SpikeAmplitudeSTD'     
    [22]    'SpikeBaseWidthMean'    
    [23]    'SpikeBaseWidthMode'    
    [24]    'SpikeBaseWidthSTD'     
    [25]    'SpikeDAHPMagMean'      
    [26]    'SpikeDAHPMagMode'      
    [27]    'SpikeDAHPMagSTD'       
    [28]    'SpikeFallTimeMean'     
    [29]    'SpikeFallTimeMode'     
    [30]    'SpikeFallTimeSTD'      
    [31]    'SpikeFixVWidthMean'    
    [32]    'SpikeFixVWidthMode'    
    [33]    'SpikeFixVWidthSTD'     
    [34]    'SpikeHalfVmMean'       
    [35]    'SpikeHalfVmMode'       
    [36]    'SpikeHalfVmSTD'        
    [37]    'SpikeHalfWidthMean'    
    [38]    'SpikeHalfWidthMode'    
    [39]    'SpikeHalfWidthSTD'     
    [40]    'SpikeInitTimeMean'     
    [41]    'SpikeInitTimeMode'     
    [42]    'SpikeInitTimeSTD'      
    [43]    'SpikeInitVmBySlopeMean'
    [44]    'SpikeInitVmBySlopeMode'
    [45]    'SpikeInitVmBySlopeSTD' 
    [46]    'SpikeInitVmMean'       
    [47]    'SpikeInitVmMode'       
    [48]    'SpikeInitVmSTD'        
    [49]    'SpikeMaxAHPMean'       
    [50]    'SpikeMaxAHPMode'       
    [51]    'SpikeMaxAHPSTD'        
    [52]    'SpikeMaxVmSlopeMean'   
    [53]    'SpikeMaxVmSlopeMode'   
    [54]    'SpikeMaxVmSlopeSTD'    
    [55]    'SpikeMinTimeMean'      
    [56]    'SpikeMinTimeMode'      
    [57]    'SpikeMinTimeSTD'       
    [58]    'SpikeMinVmMean'        
    [59]    'SpikeMinVmMode'        
    [60]    'SpikeMinVmSTD'         
    [61]    'SpikePeakVmMean'       
    [62]    'SpikePeakVmMode'       
    [63]    'SpikePeakVmSTD'        
    [64]    'SpikeRiseTimeMean'     
    [65]    'SpikeRiseTimeMode'     
    [66]    'SpikeRiseTimeSTD'      
    [67]    'Spikes'                
    [68]    'ItemIndex'             

Optional properties of tests_db:

ans = 

    doc: [1x1 doc_multi]

>> displayRows(t_db(1, :))

ans = 

    'NaF'                       [     125]
    'NaP'                       [       1]
    'Kv2'                       [  0.1000]
    'Kv3'                       [      10]
    'Kv4'                       [      10]
    'KCNQ'                      [  0.0800]
    'SK'                        [       2]
    'CaHVA'                     [  0.3000]
    'HCN'                       [       1]
    'morph'                     [       3]
    'trial'                     [       1]
    'pAcip'                     [       0]
    'ISICV'                     [  0.7904]
    'SpikeRate'                 [      51]
    'SpikeRateISI'              [ 50.1756]
    'avg'                       [-57.2903]
    'max'                       [ 32.3271]
    'min'                       [-64.0950]
    'SpikeAmplitudeMean'        [ 77.7479]
    'SpikeAmplitudeMode'        [ 74.4354]
    'SpikeAmplitudeSTD'         [  3.3077]
    'SpikeBaseWidthMean'        [  1.6084]
    'SpikeBaseWidthMode'        [  1.5500]
    'SpikeBaseWidthSTD'         [  0.0860]
    'SpikeDAHPMagMean'          [     NaN]
    'SpikeDAHPMagMode'          [       0]
    'SpikeDAHPMagSTD'           [     NaN]
    'SpikeFallTimeMean'         [  1.1020]
    'SpikeFallTimeMode'         [  1.0955]
    'SpikeFallTimeSTD'          [  0.1584]
    'SpikeFixVWidthMean'        [  0.7277]
    'SpikeFixVWidthMode'        [  0.7402]
    'SpikeFixVWidthSTD'         [  0.0159]
    'SpikeHalfVmMean'           [ -9.3919]
    'SpikeHalfVmMode'           [-10.6712]
    'SpikeHalfVmSTD'            [  1.0918]
    'SpikeHalfWidthMean'        [  0.7195]
    'SpikeHalfWidthMode'        [  0.7194]
    'SpikeHalfWidthSTD'         [  0.0031]
    'SpikeInitTimeMean'         [  3.8440]
    'SpikeInitTimeMode'         [  6.6231]
    'SpikeInitTimeSTD'          [  2.7923]
    'SpikeInitVmBySlopeMean'    [-47.6048]
    'SpikeInitVmBySlopeMode'    [-48.4997]
    'SpikeInitVmBySlopeSTD'     [  0.6384]
    'SpikeInitVmMean'           [-48.2659]
    'SpikeInitVmMode'           [-48.3615]
    'SpikeInitVmSTD'            [  0.7566]
    'SpikeMaxAHPMean'           [ 11.8451]
    'SpikeMaxAHPMode'           [  7.3180]
    'SpikeMaxAHPSTD'            [  4.1733]
    'SpikeMaxVmSlopeMean'       [310.5354]
    'SpikeMaxVmSlopeMode'       [309.7685]
    'SpikeMaxVmSlopeSTD'        [ 23.5819]
    'SpikeMinTimeMean'          [ 12.9360]
    'SpikeMinTimeMode'          [  8.9890]
    'SpikeMinTimeSTD'           [  4.4565]
    'SpikeMinVmMean'            [-60.1110]
    'SpikeMinVmMode'            [-56.5479]
    'SpikeMinVmSTD'             [  3.5686]
    'SpikePeakVmMean'           [ 29.4820]
    'SpikePeakVmMode'           [ 32.0717]
    'SpikePeakVmSTD'            [  2.6985]
    'SpikeRiseTimeMean'         [  0.4864]
    'SpikeRiseTimeMode'         [  0.4502]
    'SpikeRiseTimeSTD'          [  0.0367]
    'Spikes'                    [      51]
    'ItemIndex'                 [       1]

>> displayRows(t_db(6, :))

ans = 

    'NaF'                       [       250]
    'NaP'                       [         1]
    'Kv2'                       [    0.1000]
    'Kv3'                       [        10]
    'Kv4'                       [        10]
    'KCNQ'                      [    0.0800]
    'SK'                        [         2]
    'CaHVA'                     [    0.3000]
    'HCN'                       [         1]
    'morph'                     [         3]
    'trial'                     [         6]
    'pAcip'                     [         0]
    'ISICV'                     [    0.0065]
    'SpikeRate'                 [        67]
    'SpikeRateISI'              [   67.3263]
    'avg'                       [  -53.4950]
    'max'                       [   37.4306]
    'min'                       [  -60.7455]
    'SpikeAmplitudeMean'        [   86.7655]
    'SpikeAmplitudeMode'        [   86.8883]
    'SpikeAmplitudeSTD'         [    0.2730]
    'SpikeBaseWidthMean'        [    1.5364]
    'SpikeBaseWidthMode'        [    1.5189]
    'SpikeBaseWidthSTD'         [    0.0285]
    'SpikeDAHPMagMean'          [       NaN]
    'SpikeDAHPMagMode'          [         0]
    'SpikeDAHPMagSTD'           [       NaN]
    'SpikeFallTimeMean'         [    1.1000]
    'SpikeFallTimeMode'         [    1.1000]
    'SpikeFallTimeSTD'          [2.2377e-16]
    'SpikeFixVWidthMean'        [    0.7644]
    'SpikeFixVWidthMode'        [    0.7561]
    'SpikeFixVWidthSTD'         [    0.0055]
    'SpikeHalfVmMean'           [   -5.9379]
    'SpikeHalfVmMode'           [   -5.7069]
    'SpikeHalfVmSTD'            [    0.2984]
    'SpikeHalfWidthMean'        [    0.7126]
    'SpikeHalfWidthMode'        [    0.7164]
    'SpikeHalfWidthSTD'         [    0.0032]
    'SpikeInitTimeMean'         [    6.6442]
    'SpikeInitTimeMode'         [    6.6423]
    'SpikeInitTimeSTD'          [    0.0052]
    'SpikeInitVmBySlopeMean'    [  -48.5184]
    'SpikeInitVmBySlopeMode'    [  -48.8366]
    'SpikeInitVmBySlopeSTD'     [    0.2681]
    'SpikeInitVmMean'           [  -49.3261]
    'SpikeInitVmMode'           [  -49.3164]
    'SpikeInitVmSTD'            [    0.3770]
    'SpikeMaxAHPMean'           [   11.3669]
    'SpikeMaxAHPMode'           [   11.4299]
    'SpikeMaxAHPSTD'            [    0.3800]
    'SpikeMaxVmSlopeMean'       [  365.3979]
    'SpikeMaxVmSlopeMode'       [  383.2894]
    'SpikeMaxVmSlopeSTD'        [   21.2558]
    'SpikeMinTimeMean'          [    9.1031]
    'SpikeMinTimeMode'          [    9.1005]
    'SpikeMinTimeSTD'           [    0.0174]
    'SpikeMinVmMean'            [  -60.6838]
    'SpikeMinVmMode'            [  -60.6741]
    'SpikeMinVmSTD'             [    0.0130]
    'SpikePeakVmMean'           [   37.4395]
    'SpikePeakVmMode'           [   37.6167]
    'SpikePeakVmSTD'            [    0.2640]
    'SpikeRiseTimeMean'         [    0.4364]
    'SpikeRiseTimeMode'         [    0.4189]
    'SpikeRiseTimeSTD'          [    0.0281]
    'Spikes'                    [        67]
    'ItemIndex'                 [         6]

>> a_fs = params_tests_fileset('../../../data/*_0_pAcip.bin', 1e-4, 1e-3, 'test w/o readgenesis', struct('trace_time_start', 10000, 'scale_y', 1e3, 'param_row_filename', 'naf_doublet.par', 'param_desc_filename', 'naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes', 'file_endian', 'n'))
params_tests_fileset, test w/o readgenesis

ans = 

                    path: '../../../data'
    params_tests_dataset: [1x1 params_tests_dataset]

params_tests_dataset, test w/o readgenesis

ans = 

     list: {1x6 cell}
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'test w/o readgenesis'
    props: [1x1 struct]

Optional properties of params_tests_dataset:

ans = 

       trace_time_start: 10000
                scale_y: 1000
     param_row_filename: 'naf_doublet.par'
    param_desc_filename: 'naf_doublet.txt'
    profile_method_name: 'getProfileAllSpikes'
            file_endian: 'n'
             param_rows: [6x11 double]
            param_names: {1x11 cell}

>> t_db = params_tests_db(a_fs, 1:6)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_1_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: Not a spike: test w/o readgenesis(1) ( spike#1).} 
> In trace.analyzeSpikesInPeriod at 72
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#45)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading: 
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_1_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: Not a spike: test w/o readgenesis(1) ( spike#1).} 
> In trace.analyzeSpikesInPeriod at 72
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#45)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_2_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(2) ( spike#34)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_3_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(3) ( spike#9)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(3) ( spike#21)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_4_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_5_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
readgenesis: ../../../data/data_6_trial_0_pAcip.bin, trace 1 of 1 (20000 points @ 10 kHz)
{Warning: Spike failed to repolarize.} 
> In spike_shape.calcWidthFall at 74
  In spike_shape.getResults at 120
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Spike failed to repolarize.} 
> In spike_shape.calcWidthFall at 74
  In spike_shape.getResults at 120
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Elapsed time took 6.04 seconds.
params_tests_db, test w/o readgenesis

ans = 

    num_params: 12
      tests_db: [1x1 tests_db]

tests_db, test w/o readgenesis
6 rows in database with 68 columns, and 1 pages.
Column names:
    [ 1]    'NaF'                   
    [ 2]    'NaP'                   
    [ 3]    'Kv2'                   
    [ 4]    'Kv3'                   
    [ 5]    'Kv4'                   
    [ 6]    'KCNQ'                  
    [ 7]    'SK'                    
    [ 8]    'CaHVA'                 
    [ 9]    'HCN'                   
    [10]    'morph'                 
    [11]    'trial'                 
    [12]    'pAcip'                 
    [13]    'ISICV'                 
    [14]    'SpikeRate'             
    [15]    'SpikeRateISI'          
    [16]    'avg'                   
    [17]    'max'                   
    [18]    'min'                   
    [19]    'SpikeAmplitudeMean'    
    [20]    'SpikeAmplitudeMode'    
    [21]    'SpikeAmplitudeSTD'     
    [22]    'SpikeBaseWidthMean'    
    [23]    'SpikeBaseWidthMode'    
    [24]    'SpikeBaseWidthSTD'     
    [25]    'SpikeDAHPMagMean'      
    [26]    'SpikeDAHPMagMode'      
    [27]    'SpikeDAHPMagSTD'       
    [28]    'SpikeFallTimeMean'     
    [29]    'SpikeFallTimeMode'     
    [30]    'SpikeFallTimeSTD'      
    [31]    'SpikeFixVWidthMean'    
    [32]    'SpikeFixVWidthMode'    
    [33]    'SpikeFixVWidthSTD'     
    [34]    'SpikeHalfVmMean'       
    [35]    'SpikeHalfVmMode'       
    [36]    'SpikeHalfVmSTD'        
    [37]    'SpikeHalfWidthMean'    
    [38]    'SpikeHalfWidthMode'    
    [39]    'SpikeHalfWidthSTD'     
    [40]    'SpikeInitTimeMean'     
    [41]    'SpikeInitTimeMode'     
    [42]    'SpikeInitTimeSTD'      
    [43]    'SpikeInitVmBySlopeMean'
    [44]    'SpikeInitVmBySlopeMode'
    [45]    'SpikeInitVmBySlopeSTD' 
    [46]    'SpikeInitVmMean'       
    [47]    'SpikeInitVmMode'       
    [48]    'SpikeInitVmSTD'        
    [49]    'SpikeMaxAHPMean'       
    [50]    'SpikeMaxAHPMode'       
    [51]    'SpikeMaxAHPSTD'        
    [52]    'SpikeMaxVmSlopeMean'   
    [53]    'SpikeMaxVmSlopeMode'   
    [54]    'SpikeMaxVmSlopeSTD'    
    [55]    'SpikeMinTimeMean'      
    [56]    'SpikeMinTimeMode'      
    [57]    'SpikeMinTimeSTD'       
    [58]    'SpikeMinVmMean'        
    [59]    'SpikeMinVmMode'        
    [60]    'SpikeMinVmSTD'         
    [61]    'SpikePeakVmMean'       
    [62]    'SpikePeakVmMode'       
    [63]    'SpikePeakVmSTD'        
    [64]    'SpikeRiseTimeMean'     
    [65]    'SpikeRiseTimeMode'     
    [66]    'SpikeRiseTimeSTD'      
    [67]    'Spikes'                
    [68]    'ItemIndex'             

Optional properties of tests_db:

ans = 

    doc: [1x1 doc_multi]

>> t_db = params_tests_db(a_fs, 1:6)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: Not a spike: test w/o readgenesis(1) ( spike#1).} 
> In trace.analyzeSpikesInPeriod at 72
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#45)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading: 
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: Not a spike: test w/o readgenesis(1) ( spike#1).} 
> In trace.analyzeSpikesInPeriod at 72
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#45)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_2_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(2) ( spike#34)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_3_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(3) ( spike#9)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(3) ( spike#21)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_4_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_5_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_6_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: Spike failed to repolarize.} 
> In spike_shape.calcWidthFall at 74
  In spike_shape.getResults at 120
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Spike failed to repolarize.} 
> In spike_shape.calcWidthFall at 74
  In spike_shape.getResults at 120
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Elapsed time took 5.97 seconds.
params_tests_db, test w/o readgenesis

ans = 

    num_params: 12
      tests_db: [1x1 tests_db]

tests_db, test w/o readgenesis
6 rows in database with 68 columns, and 1 pages.
Column names:
    [ 1]    'NaF'                   
    [ 2]    'NaP'                   
    [ 3]    'Kv2'                   
    [ 4]    'Kv3'                   
    [ 5]    'Kv4'                   
    [ 6]    'KCNQ'                  
    [ 7]    'SK'                    
    [ 8]    'CaHVA'                 
    [ 9]    'HCN'                   
    [10]    'morph'                 
    [11]    'trial'                 
    [12]    'pAcip'                 
    [13]    'ISICV'                 
    [14]    'SpikeRate'             
    [15]    'SpikeRateISI'          
    [16]    'avg'                   
    [17]    'max'                   
    [18]    'min'                   
    [19]    'SpikeAmplitudeMean'    
    [20]    'SpikeAmplitudeMode'    
    [21]    'SpikeAmplitudeSTD'     
    [22]    'SpikeBaseWidthMean'    
    [23]    'SpikeBaseWidthMode'    
    [24]    'SpikeBaseWidthSTD'     
    [25]    'SpikeDAHPMagMean'      
    [26]    'SpikeDAHPMagMode'      
    [27]    'SpikeDAHPMagSTD'       
    [28]    'SpikeFallTimeMean'     
    [29]    'SpikeFallTimeMode'     
    [30]    'SpikeFallTimeSTD'      
    [31]    'SpikeFixVWidthMean'    
    [32]    'SpikeFixVWidthMode'    
    [33]    'SpikeFixVWidthSTD'     
    [34]    'SpikeHalfVmMean'       
    [35]    'SpikeHalfVmMode'       
    [36]    'SpikeHalfVmSTD'        
    [37]    'SpikeHalfWidthMean'    
    [38]    'SpikeHalfWidthMode'    
    [39]    'SpikeHalfWidthSTD'     
    [40]    'SpikeInitTimeMean'     
    [41]    'SpikeInitTimeMode'     
    [42]    'SpikeInitTimeSTD'      
    [43]    'SpikeInitVmBySlopeMean'
    [44]    'SpikeInitVmBySlopeMode'
    [45]    'SpikeInitVmBySlopeSTD' 
    [46]    'SpikeInitVmMean'       
    [47]    'SpikeInitVmMode'       
    [48]    'SpikeInitVmSTD'        
    [49]    'SpikeMaxAHPMean'       
    [50]    'SpikeMaxAHPMode'       
    [51]    'SpikeMaxAHPSTD'        
    [52]    'SpikeMaxVmSlopeMean'   
    [53]    'SpikeMaxVmSlopeMode'   
    [54]    'SpikeMaxVmSlopeSTD'    
    [55]    'SpikeMinTimeMean'      
    [56]    'SpikeMinTimeMode'      
    [57]    'SpikeMinTimeSTD'       
    [58]    'SpikeMinVmMean'        
    [59]    'SpikeMinVmMode'        
    [60]    'SpikeMinVmSTD'         
    [61]    'SpikePeakVmMean'       
    [62]    'SpikePeakVmMode'       
    [63]    'SpikePeakVmSTD'        
    [64]    'SpikeRiseTimeMean'     
    [65]    'SpikeRiseTimeMode'     
    [66]    'SpikeRiseTimeSTD'      
    [67]    'Spikes'                
    [68]    'ItemIndex'             

Optional properties of tests_db:

ans = 

    doc: [1x1 doc_multi]

>> displayRows(t_db(6, :))

ans = 

    'NaF'                       [       250]
    'NaP'                       [         1]
    'Kv2'                       [    0.1000]
    'Kv3'                       [        10]
    'Kv4'                       [        10]
    'KCNQ'                      [    0.0800]
    'SK'                        [         2]
    'CaHVA'                     [    0.3000]
    'HCN'                       [         1]
    'morph'                     [         3]
    'trial'                     [         6]
    'pAcip'                     [         0]
    'ISICV'                     [    0.0065]
    'SpikeRate'                 [   66.9933]
    'SpikeRateISI'              [   67.3263]
    'avg'                       [  -53.4956]
    'max'                       [   37.4306]
    'min'                       [  -60.7455]
    'SpikeAmplitudeMean'        [   86.7655]
    'SpikeAmplitudeMode'        [   86.8883]
    'SpikeAmplitudeSTD'         [    0.2730]
    'SpikeBaseWidthMean'        [    1.5364]
    'SpikeBaseWidthMode'        [    1.5189]
    'SpikeBaseWidthSTD'         [    0.0285]
    'SpikeDAHPMagMean'          [       NaN]
    'SpikeDAHPMagMode'          [         0]
    'SpikeDAHPMagSTD'           [       NaN]
    'SpikeFallTimeMean'         [    1.1000]
    'SpikeFallTimeMode'         [    1.1000]
    'SpikeFallTimeSTD'          [2.2377e-16]
    'SpikeFixVWidthMean'        [    0.7644]
    'SpikeFixVWidthMode'        [    0.7561]
    'SpikeFixVWidthSTD'         [    0.0055]
    'SpikeHalfVmMean'           [   -5.9379]
    'SpikeHalfVmMode'           [   -5.7069]
    'SpikeHalfVmSTD'            [    0.2984]
    'SpikeHalfWidthMean'        [    0.7126]
    'SpikeHalfWidthMode'        [    0.7164]
    'SpikeHalfWidthSTD'         [    0.0032]
    'SpikeInitTimeMean'         [    6.6442]
    'SpikeInitTimeMode'         [    6.6423]
    'SpikeInitTimeSTD'          [    0.0052]
    'SpikeInitVmBySlopeMean'    [  -48.5184]
    'SpikeInitVmBySlopeMode'    [  -48.8366]
    'SpikeInitVmBySlopeSTD'     [    0.2681]
    'SpikeInitVmMean'           [  -49.3261]
    'SpikeInitVmMode'           [  -49.3164]
    'SpikeInitVmSTD'            [    0.3770]
    'SpikeMaxAHPMean'           [   11.3669]
    'SpikeMaxAHPMode'           [   11.4299]
    'SpikeMaxAHPSTD'            [    0.3800]
    'SpikeMaxVmSlopeMean'       [  365.3979]
    'SpikeMaxVmSlopeMode'       [  383.2894]
    'SpikeMaxVmSlopeSTD'        [   21.2558]
    'SpikeMinTimeMean'          [    9.1031]
    'SpikeMinTimeMode'          [    9.1005]
    'SpikeMinTimeSTD'           [    0.0174]
    'SpikeMinVmMean'            [  -60.6838]
    'SpikeMinVmMode'            [  -60.6741]
    'SpikeMinVmSTD'             [    0.0130]
    'SpikePeakVmMean'           [   37.4395]
    'SpikePeakVmMode'           [   37.6167]
    'SpikePeakVmSTD'            [    0.2640]
    'SpikeRiseTimeMean'         [    0.4364]
    'SpikeRiseTimeMode'         [    0.4189]
    'SpikeRiseTimeSTD'          [    0.0281]
    'Spikes'                    [        67]
    'ItemIndex'                 [         6]

>> displayRows(t_db(1, :))

ans = 

    'NaF'                       [     125]
    'NaP'                       [       1]
    'Kv2'                       [  0.1000]
    'Kv3'                       [      10]
    'Kv4'                       [      10]
    'KCNQ'                      [  0.0800]
    'SK'                        [       2]
    'CaHVA'                     [  0.3000]
    'HCN'                       [       1]
    'morph'                     [       3]
    'trial'                     [       1]
    'pAcip'                     [       0]
    'ISICV'                     [  0.7904]
    'SpikeRate'                 [ 50.9949]
    'SpikeRateISI'              [ 50.1756]
    'avg'                       [-57.2907]
    'max'                       [ 32.3271]
    'min'                       [-64.0950]
    'SpikeAmplitudeMean'        [ 77.7479]
    'SpikeAmplitudeMode'        [ 74.4354]
    'SpikeAmplitudeSTD'         [  3.3077]
    'SpikeBaseWidthMean'        [  1.6084]
    'SpikeBaseWidthMode'        [  1.5500]
    'SpikeBaseWidthSTD'         [  0.0860]
    'SpikeDAHPMagMean'          [     NaN]
    'SpikeDAHPMagMode'          [       0]
    'SpikeDAHPMagSTD'           [     NaN]
    'SpikeFallTimeMean'         [  1.1020]
    'SpikeFallTimeMode'         [  1.0955]
    'SpikeFallTimeSTD'          [  0.1584]
    'SpikeFixVWidthMean'        [  0.7277]
    'SpikeFixVWidthMode'        [  0.7402]
    'SpikeFixVWidthSTD'         [  0.0159]
    'SpikeHalfVmMean'           [ -9.3919]
    'SpikeHalfVmMode'           [-10.6712]
    'SpikeHalfVmSTD'            [  1.0918]
    'SpikeHalfWidthMean'        [  0.7195]
    'SpikeHalfWidthMode'        [  0.7194]
    'SpikeHalfWidthSTD'         [  0.0031]
    'SpikeInitTimeMean'         [  3.8440]
    'SpikeInitTimeMode'         [  6.6231]
    'SpikeInitTimeSTD'          [  2.7923]
    'SpikeInitVmBySlopeMean'    [-47.6048]
    'SpikeInitVmBySlopeMode'    [-48.4997]
    'SpikeInitVmBySlopeSTD'     [  0.6384]
    'SpikeInitVmMean'           [-48.2659]
    'SpikeInitVmMode'           [-48.3615]
    'SpikeInitVmSTD'            [  0.7566]
    'SpikeMaxAHPMean'           [ 11.8467]
    'SpikeMaxAHPMode'           [  7.3180]
    'SpikeMaxAHPSTD'            [  4.1740]
    'SpikeMaxVmSlopeMean'       [310.5354]
    'SpikeMaxVmSlopeMode'       [309.7685]
    'SpikeMaxVmSlopeSTD'        [ 23.5819]
    'SpikeMinTimeMean'          [ 12.9380]
    'SpikeMinTimeMode'          [  9.0595]
    'SpikeMinTimeSTD'           [  4.4528]
    'SpikeMinVmMean'            [-60.1126]
    'SpikeMinVmMode'            [-56.5479]
    'SpikeMinVmSTD'             [  3.5690]
    'SpikePeakVmMean'           [ 29.4820]
    'SpikePeakVmMode'           [ 32.0717]
    'SpikePeakVmSTD'            [  2.6985]
    'SpikeRiseTimeMean'         [  0.4864]
    'SpikeRiseTimeMode'         [  0.4502]
    'SpikeRiseTimeSTD'          [  0.0367]
    'Spikes'                    [      51]
    'ItemIndex'                 [       1]

>> a_fs = params_tests_fileset('../../../data/*_0_pAcip.bin', 1e-4, 1e-3, 'test w/o readgenesis', struct('trace_time_start', 10000, 'scale_y', 1e3, 'param_row_filename', 'naf_doublet.par', 'param_desc_filename', 'naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes', 'file_endian', 'b'))
params_tests_fileset, test w/o readgenesis

ans = 

                    path: '../../../data'
    params_tests_dataset: [1x1 params_tests_dataset]

params_tests_dataset, test w/o readgenesis

ans = 

     list: {1x6 cell}
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'test w/o readgenesis'
    props: [1x1 struct]

Optional properties of params_tests_dataset:

ans = 

       trace_time_start: 10000
                scale_y: 1000
     param_row_filename: 'naf_doublet.par'
    param_desc_filename: 'naf_doublet.txt'
    profile_method_name: 'getProfileAllSpikes'
            file_endian: 'b'
             param_rows: [6x11 double]
            param_names: {1x11 cell}

>> t_db = params_tests_db(a_fs, 1:6)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 841827934361976490164224 Hz
{Warning: Error caught during database creation, before starting to read items:
Error using ==> readgenbin at 74
Frequency outside bounds  1 - 1,000,000 Hz. Make sure to  select the correct
endian parameter!. Returning empty database.} 
> In params_tests_dataset.readDBItems at 50
  In params_tests_dataset.params_tests_db at 60
Stack trace:
  /home/cengiz/work/pandora/functions/readgenbin.m at 74 (readgenbin).
  /home/cengiz/work/pandora/classes/@trace/trace.m at 175 (trace).
  /home/cengiz/work/pandora/classes/@params_tests_fileset/trace.m at 57 (trace).
  /home/cengiz/work/pandora/classes/@params_tests_fileset/loadItemProfile.m at 35 (loadItemProfile).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/testNames.m at 40 (testNames).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m at 41 (readDBItems).
  /home/cengiz/work/pandora/classes/@params_tests_dataset/params_tests_db.m at 60 (params_tests_db).
Error in ==> params_tests_dataset.readDBItems at 35
if ~ exist('items', 'var')

{??? Output argument "docs" (and maybe others) not assigned during call to
"/home/cengiz/work/pandora/classes/@params_tests_dataset/readDBItems.m>readDBItems".

Error in ==> params_tests_dataset.params_tests_db at 60
[params, param_names, tests, test_names, a_doc] = readDBItems(args{:});
} 
>> a_fs = params_tests_fileset('../../../data/*_0_pAcip.bin', 1e-4, 1e-3, 'test w/o readgenesis', struct('trace_time_start', 10000, 'scale_y', 1e3, 'param_row_filename', 'naf_doublet.par', 'param_desc_filename', 'naf_doublet.txt', 'profile_method_name', 'getProfileAllSpikes'))
params_tests_fileset, test w/o readgenesis

ans = 

                    path: '../../../data'
    params_tests_dataset: [1x1 params_tests_dataset]

params_tests_dataset, test w/o readgenesis

ans = 

     list: {1x6 cell}
       dt: 1.0000e-04
       dy: 1.0000e-03
       id: 'test w/o readgenesis'
    props: [1x1 struct]

Optional properties of params_tests_dataset:

ans = 

       trace_time_start: 10000
                scale_y: 1000
     param_row_filename: 'naf_doublet.par'
    param_desc_filename: 'naf_doublet.txt'
    profile_method_name: 'getProfileAllSpikes'
             param_rows: [6x11 double]
            param_names: {1x11 cell}

>> t_db = params_tests_db(a_fs, 1:6)
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: Not a spike: test w/o readgenesis(1) ( spike#1).} 
> In trace.analyzeSpikesInPeriod at 72
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#45)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.testNames at 40
  In params_tests_dataset.readDBItems at 41
  In params_tests_dataset.params_tests_db at 60
Reading: 
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_1_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: Not a spike: test w/o readgenesis(1) ( spike#1).} 
> In trace.analyzeSpikesInPeriod at 72
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#11)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(1) ( spike#45)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_2_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(2) ( spike#34)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_3_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(3) ( spike#9)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: vPP curvature ignored, v' > 15 for test w/o readgenesis(3) ( spike#21)} 
> In spike_shape.calcInitVmMaxCurvPhasePlane at 253
  In spike_shape.calcInitVm at 117
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Warning: Max curv phase plane method signal failure, falling back to
supersampled threshold method.} 
> In spike_shape.calcInitVm at 123
  In spike_shape.getResults at 81
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_4_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_5_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: Use flag 'exact' in place of 'pAcip'. Flag 'pAcip'
is not valid and will not be recognized in a future version of MATLAB.} 
> In strmatch at 43
  In params_tests_fileset.trace at 43
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Reading ../../../data/data_6_trial_0_pAcip.bin
File start time: 0 ms
Sampling frequency: 10000.0003 Hz
Number of data columns: 1
Length: 20001 data points, up to 2000.0999 ms
Reading 20001 points, or 2000.0999 ms of data.
{Warning: Spike failed to repolarize.} 
> In spike_shape.calcWidthFall at 74
  In spike_shape.getResults at 120
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
{Warning: Spike failed to repolarize.} 
> In spike_shape.calcWidthFall at 74
  In spike_shape.getResults at 120
  In trace.analyzeSpikesInPeriod at 61
  In trace.getProfileAllSpikes at 36
  In params_tests_fileset.loadItemProfile at 35
  In params_tests_dataset.itemResultsRow at 42
  In params_tests_dataset.readDBItems at 101
  In params_tests_dataset.params_tests_db at 60
Elapsed time took 5.98 seconds.
params_tests_db, test w/o readgenesis

ans = 

    num_params: 12
      tests_db: [1x1 tests_db]

tests_db, test w/o readgenesis
6 rows in database with 68 columns, and 1 pages.
Column names:
    [ 1]    'NaF'                   
    [ 2]    'NaP'                   
    [ 3]    'Kv2'                   
    [ 4]    'Kv3'                   
    [ 5]    'Kv4'                   
    [ 6]    'KCNQ'                  
    [ 7]    'SK'                    
    [ 8]    'CaHVA'                 
    [ 9]    'HCN'                   
    [10]    'morph'                 
    [11]    'trial'                 
    [12]    'pAcip'                 
    [13]    'ISICV'                 
    [14]    'SpikeRate'             
    [15]    'SpikeRateISI'          
    [16]    'avg'                   
    [17]    'max'                   
    [18]    'min'                   
    [19]    'SpikeAmplitudeMean'    
    [20]    'SpikeAmplitudeMode'    
    [21]    'SpikeAmplitudeSTD'     
    [22]    'SpikeBaseWidthMean'    
    [23]    'SpikeBaseWidthMode'    
    [24]    'SpikeBaseWidthSTD'     
    [25]    'SpikeDAHPMagMean'      
    [26]    'SpikeDAHPMagMode'      
    [27]    'SpikeDAHPMagSTD'       
    [28]    'SpikeFallTimeMean'     
    [29]    'SpikeFallTimeMode'     
    [30]    'SpikeFallTimeSTD'      
    [31]    'SpikeFixVWidthMean'    
    [32]    'SpikeFixVWidthMode'    
    [33]    'SpikeFixVWidthSTD'     
    [34]    'SpikeHalfVmMean'       
    [35]    'SpikeHalfVmMode'       
    [36]    'SpikeHalfVmSTD'        
    [37]    'SpikeHalfWidthMean'    
    [38]    'SpikeHalfWidthMode'    
    [39]    'SpikeHalfWidthSTD'     
    [40]    'SpikeInitTimeMean'     
    [41]    'SpikeInitTimeMode'     
    [42]    'SpikeInitTimeSTD'      
    [43]    'SpikeInitVmBySlopeMean'
    [44]    'SpikeInitVmBySlopeMode'
    [45]    'SpikeInitVmBySlopeSTD' 
    [46]    'SpikeInitVmMean'       
    [47]    'SpikeInitVmMode'       
    [48]    'SpikeInitVmSTD'        
    [49]    'SpikeMaxAHPMean'       
    [50]    'SpikeMaxAHPMode'       
    [51]    'SpikeMaxAHPSTD'        
    [52]    'SpikeMaxVmSlopeMean'   
    [53]    'SpikeMaxVmSlopeMode'   
    [54]    'SpikeMaxVmSlopeSTD'    
    [55]    'SpikeMinTimeMean'      
    [56]    'SpikeMinTimeMode'      
    [57]    'SpikeMinTimeSTD'       
    [58]    'SpikeMinVmMean'        
    [59]    'SpikeMinVmMode'        
    [60]    'SpikeMinVmSTD'         
    [61]    'SpikePeakVmMean'       
    [62]    'SpikePeakVmMode'       
    [63]    'SpikePeakVmSTD'        
    [64]    'SpikeRiseTimeMean'     
    [65]    'SpikeRiseTimeMode'     
    [66]    'SpikeRiseTimeSTD'      
    [67]    'Spikes'                
    [68]    'ItemIndex'             

Optional properties of tests_db:

ans = 

    doc: [1x1 doc_multi]

>> displayRows(t_db(1, :))

ans = 

    'NaF'                       [     125]
    'NaP'                       [       1]
    'Kv2'                       [  0.1000]
    'Kv3'                       [      10]
    'Kv4'                       [      10]
    'KCNQ'                      [  0.0800]
    'SK'                        [       2]
    'CaHVA'                     [  0.3000]
    'HCN'                       [       1]
    'morph'                     [       3]
    'trial'                     [       1]
    'pAcip'                     [       0]
    'ISICV'                     [  0.7904]
    'SpikeRate'                 [ 50.9949]
    'SpikeRateISI'              [ 50.1756]
    'avg'                       [-57.2907]
    'max'                       [ 32.3271]
    'min'                       [-64.0950]
    'SpikeAmplitudeMean'        [ 77.7479]
    'SpikeAmplitudeMode'        [ 74.4354]
    'SpikeAmplitudeSTD'         [  3.3077]
    'SpikeBaseWidthMean'        [  1.6084]
    'SpikeBaseWidthMode'        [  1.5500]
    'SpikeBaseWidthSTD'         [  0.0860]
    'SpikeDAHPMagMean'          [     NaN]
    'SpikeDAHPMagMode'          [       0]
    'SpikeDAHPMagSTD'           [     NaN]
    'SpikeFallTimeMean'         [  1.1020]
    'SpikeFallTimeMode'         [  1.0955]
    'SpikeFallTimeSTD'          [  0.1584]
    'SpikeFixVWidthMean'        [  0.7277]
    'SpikeFixVWidthMode'        [  0.7402]
    'SpikeFixVWidthSTD'         [  0.0159]
    'SpikeHalfVmMean'           [ -9.3919]
    'SpikeHalfVmMode'           [-10.6712]
    'SpikeHalfVmSTD'            [  1.0918]
    'SpikeHalfWidthMean'        [  0.7195]
    'SpikeHalfWidthMode'        [  0.7194]
    'SpikeHalfWidthSTD'         [  0.0031]
    'SpikeInitTimeMean'         [  3.8440]
    'SpikeInitTimeMode'         [  6.6231]
    'SpikeInitTimeSTD'          [  2.7923]
    'SpikeInitVmBySlopeMean'    [-47.6048]
    'SpikeInitVmBySlopeMode'    [-48.4997]
    'SpikeInitVmBySlopeSTD'     [  0.6384]
    'SpikeInitVmMean'           [-48.2659]
    'SpikeInitVmMode'           [-48.3615]
    'SpikeInitVmSTD'            [  0.7566]
    'SpikeMaxAHPMean'           [ 11.8467]
    'SpikeMaxAHPMode'           [  7.3180]
    'SpikeMaxAHPSTD'            [  4.1740]
    'SpikeMaxVmSlopeMean'       [310.5354]
    'SpikeMaxVmSlopeMode'       [309.7685]
    'SpikeMaxVmSlopeSTD'        [ 23.5819]
    'SpikeMinTimeMean'          [ 12.9380]
    'SpikeMinTimeMode'          [  9.0595]
    'SpikeMinTimeSTD'           [  4.4528]
    'SpikeMinVmMean'            [-60.1126]
    'SpikeMinVmMode'            [-56.5479]
    'SpikeMinVmSTD'             [  3.5690]
    'SpikePeakVmMean'           [ 29.4820]
    'SpikePeakVmMode'           [ 32.0717]
    'SpikePeakVmSTD'            [  2.6985]
    'SpikeRiseTimeMean'         [  0.4864]
    'SpikeRiseTimeMode'         [  0.4502]
    'SpikeRiseTimeSTD'          [  0.0367]
    'Spikes'                    [      51]
    'ItemIndex'                 [       1]

>> displayRows(t_db(6, :))

ans = 

    'NaF'                       [       250]
    'NaP'                       [         1]
    'Kv2'                       [    0.1000]
    'Kv3'                       [        10]
    'Kv4'                       [        10]
    'KCNQ'                      [    0.0800]
    'SK'                        [         2]
    'CaHVA'                     [    0.3000]
    'HCN'                       [         1]
    'morph'                     [         3]
    'trial'                     [         6]
    'pAcip'                     [         0]
    'ISICV'                     [    0.0065]
    'SpikeRate'                 [   66.9933]
    'SpikeRateISI'              [   67.3263]
    'avg'                       [  -53.4956]
    'max'                       [   37.4306]
    'min'                       [  -60.7455]
    'SpikeAmplitudeMean'        [   86.7655]
    'SpikeAmplitudeMode'        [   86.8883]
    'SpikeAmplitudeSTD'         [    0.2730]
    'SpikeBaseWidthMean'        [    1.5364]
    'SpikeBaseWidthMode'        [    1.5189]
    'SpikeBaseWidthSTD'         [    0.0285]
    'SpikeDAHPMagMean'          [       NaN]
    'SpikeDAHPMagMode'          [         0]
    'SpikeDAHPMagSTD'           [       NaN]
    'SpikeFallTimeMean'         [    1.1000]
    'SpikeFallTimeMode'         [    1.1000]
    'SpikeFallTimeSTD'          [2.2377e-16]
    'SpikeFixVWidthMean'        [    0.7644]
    'SpikeFixVWidthMode'        [    0.7561]
    'SpikeFixVWidthSTD'         [    0.0055]
    'SpikeHalfVmMean'           [   -5.9379]
    'SpikeHalfVmMode'           [   -5.7069]
    'SpikeHalfVmSTD'            [    0.2984]
    'SpikeHalfWidthMean'        [    0.7126]
    'SpikeHalfWidthMode'        [    0.7164]
    'SpikeHalfWidthSTD'         [    0.0032]
    'SpikeInitTimeMean'         [    6.6442]
    'SpikeInitTimeMode'         [    6.6423]
    'SpikeInitTimeSTD'          [    0.0052]
    'SpikeInitVmBySlopeMean'    [  -48.5184]
    'SpikeInitVmBySlopeMode'    [  -48.8366]
    'SpikeInitVmBySlopeSTD'     [    0.2681]
    'SpikeInitVmMean'           [  -49.3261]
    'SpikeInitVmMode'           [  -49.3164]
    'SpikeInitVmSTD'            [    0.3770]
    'SpikeMaxAHPMean'           [   11.3669]
    'SpikeMaxAHPMode'           [   11.4299]
    'SpikeMaxAHPSTD'            [    0.3800]
    'SpikeMaxVmSlopeMean'       [  365.3979]
    'SpikeMaxVmSlopeMode'       [  383.2894]
    'SpikeMaxVmSlopeSTD'        [   21.2558]
    'SpikeMinTimeMean'          [    9.1031]
    'SpikeMinTimeMode'          [    9.1005]
    'SpikeMinTimeSTD'           [    0.0174]
    'SpikeMinVmMean'            [  -60.6838]
    'SpikeMinVmMode'            [  -60.6741]
    'SpikeMinVmSTD'             [    0.0130]
    'SpikePeakVmMean'           [   37.4395]
    'SpikePeakVmMode'           [   37.6167]
    'SpikePeakVmSTD'            [    0.2640]
    'SpikeRiseTimeMean'         [    0.4364]
    'SpikeRiseTimeMode'         [    0.4189]
    'SpikeRiseTimeSTD'          [    0.0281]
    'Spikes'                    [        67]
    'ItemIndex'                 [         6]

>> exit

Process MATLAB finished

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