ELL pyramidal neuron (Simmonds and Chacron 2014)

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Accession:168590
network model of ELL pyramidal neurons receiving both feedforward and feedback inputs
Reference:
1 . Simmonds B, Chacron MJ (2015) Activation of parallel fiber feedback by spatially diffuse stimuli reduces signal and noise correlations via independent mechanisms in a cerebellum-like structure. PLoS Comput Biol 11:e1004034 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): ELL pyramidal cell;
Channel(s): I K,leak;
Gap Junctions:
Receptor(s): AMPA;
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s):
Implementer(s):
Search NeuronDB for information about:  AMPA; I K,leak;
function [meanCrossCorrelogram] =CCGraw(binnedTrains, binsize, maxlags)   %binsize in ms

%NOTE: spikeTrain input is the train of all spikes, to use to calculate
%mean firing rates of cells. 


binnedCell1=binnedTrains(:,:,1);
binnedCell2=binnedTrains(:,:,2);


trial=binsize*10^-3*size(binnedTrains,2);  %s

%Preallocate correlogram matrix

correlogram=[]; 

for i=1: size(binnedTrains,1);

f1i=mean(binnedCell1(i,:))/(binsize*10^-3);  %Hz
f2i=mean(binnedCell2(i,:))/(binsize*10^-3); %Hz

xcorrVariable=xcorr((binnedCell1(i,:)-binsize*10^-3*f1i),(binnedCell2(i,:)-binsize*10^-3*f2i), maxlags);
nextCorrelogram=xcorrVariable/((binsize*(10^-3))*trial*f1i);

correlogram=[correlogram;nextCorrelogram] ; 

  
end 

meanCrossCorrelogram=mean(correlogram,1); 


end