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] = CCGsignal( binnedTrains,  binsize, maxlags)   %binsize in ms

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

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

correlogram=[]; 


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

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

    for j=1:i-1;
        
        f2j=mean(binnedCell2(j,:))/(binsize*10^-3); %Hz 

        nextCorrelogram=xcorr(binnedCell1(i,:),binnedCell2(j,:), maxlags)/(binsize*(10^-3)*trial*f1i)-f2j; 
     
        correlogram=[correlogram; nextCorrelogram]; 
        
    end 
end 
    
meanCrossCorrelogram=mean(correlogram,1); 


end