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Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017)
 
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Model Information
Model File
Accession:
229279
Reference:
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
]
Citations
Citation Browser
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
;
/
codes
pandora-matlab-1.4compat2
functions
abf2load.m
abf2voltage_clamp.m
abfload.m
array2str.m
balanceInputProbs.m
boxplotp.m
boxutilp.m
calcGraphNormPtsRatio.m
cell2str.m
cell2TeX.m
chanTables2DB.m
collectspikes.m
colormapBlueCrossRed.m
defaultValue.m
diff2T.m
diff2T_h4.m
diff3T.m
diff3T_h4.m
diffT.m
fillederrorbar.m
findspikes.m
findspikes_old.m
findVectorInMatrix.m
getFieldDefault.m
getfuzzyfield.m
gettracelist2.m
growRange.m
interpValByIndex.m
loadtraces.m
loadVclampAbf.m
logLevels.m
makeIdealClampV.m
makeIdx.m
maxima.m
meanSpikeFreq.m
mergeStructs.m
mergeStructsRecursive.m
ns_CIPlist.m
ns_load_tracesets.m
parseFilenameNamesVals.m
parseGenesisFilename.m
plotColormap.m
prefixStruct.m
properAlphaNum.m
properTeXFilename.m
properTeXLabel.m
readgenbin.m
readNeuronVecAscii.m
readNeuronVecBin.m
setAxisNonNaN.m
sortedUniqueValues.m
spike_filter_50_3000Hz_ChebII.mat
string2File.m
struct2DB.m
struct2str.m
subTextLabel.m
TeXfloat.m
trace2cc.m
uniqueValues.m
updateErrorBars.m
writeNeuronVecAscii.m
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