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; 
function xmax=FindPeaks(data,threshold)
% Helper function to find peaks in a given continuous valued time series x
% Usage: xmax=FindPeaks(data,threshold)
% Input:
%      data     (data in time x channels/trials form or a single vector)
%      threshold (if specified returns locations of peaks at which data exceeds threshold) - optional
% Output:
%      xmax     (locations of local maxima of data in a structure array of dimensions channels/trials)
if nargin < 1; error('Need data'); end;
data=change_row_to_column(data);
C=size(data,2);
pp1=[data(1,:);data(1:end-1,:)];
pp2=[data(2:end,:);data(end,:)];
xmax(1:C)=struct('loc',[]);
for ch=1:C,
   if nargin ==1
     xmax(ch).loc=[xmax(ch).loc; find(data(:,ch)-pp1(:,ch)>0 & data(:,ch)-pp2(:,ch)>0)];
   else
     xmax(ch).loc=[xmax(ch).loc; find(data(:,ch)-pp1(:,ch)>0 & data(:,ch)-pp2(:,ch)>0 & data(:,ch)>threshold)];
   end
end

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