Gap junction coupled network of striatal fast spiking interneurons (Hjorth et al. 2009)

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Accession:118389
Gap junctions between striatal FS neurons has very weak ability to synchronise spiking. Input uncorrelated between neighbouring neurons is shunted, while correlated input is not.
Reference:
1 . Hjorth J, Blackwell KT, Kotaleski JH (2009) Gap junctions between striatal fast-spiking interneurons regulate spiking activity and synchronization as a function of cortical activity. J Neurosci 29:5276-86 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell; Synapse; Channel/Receptor; Dendrite;
Brain Region(s)/Organism: Basal ganglia;
Cell Type(s): Neostriatum fast spiking interneuron;
Channel(s): I A; I_K,Na;
Gap Junctions: Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: GENESIS; MATLAB;
Model Concept(s): Activity Patterns; Ion Channel Kinetics; Synchronization; Detailed Neuronal Models;
Implementer(s): Hjorth, Johannes [hjorth at csc.kth.se];
Search NeuronDB for information about:  I A; I_K,Na; Gaba; Glutamate;
function makeAllSynapticInputParallell(corrRudolph, upFreq, noiseFreq, ...
                              maxTime, allowVar, randSeed, numCells, ...
                              INDATApath )

rand('seed', randSeed);
randSeed = rand('seed');

disp(['Setting random seed to ' num2str(randSeed)])
                   

path = [pwd '/' INDATApath '/'];
mkdir(path);

% allowVar = 1 --> mother/daughter generation
% allowVar = 0 --> fixed number of doubletts for all spikes train-version

% allowVar = 1

nAMPA = 127;
nGABA = 93;

for nCtr = 1:numCells

    if(allowVar)
        disp('Generating mother/daughter input')
    
        insignalAMPA = makeDaughterNoise(corrRudolph, nAMPA, ...
                                         upFreq, maxTime);

        insignalGABA = makeDaughterNoise(corrRudolph, nGABA, ...
                                         upFreq, maxTime);
                                  
        noiseAMPA = makeDaughterNoise(corrRudolph, nAMPA, noiseFreq, maxTime);
        noiseGABA = makeDaughterNoise(corrRudolph, nGABA, noiseFreq, maxTime);
    
    else                                  
        disp('Generating input with constant number of doubletts')  
        insignalAMPA = makeTrainNoise(corrRudolph, nAMPA, ...
                                      upFreq, maxTime);

        insignalGABA = makeTrainNoise(corrRudolph, nGABA, ...
                                      upFreq, maxTime);
                                      
        noiseAMPA = makeTrainNoise(corrRudolph, nAMPA, noiseFreq, maxTime);
        noiseGABA = makeTrainNoise(corrRudolph, nGABA, noiseFreq, maxTime);
    end
    
    % Pad at the end with a large number, this is to make sure that
    % no spike trains are empty!
    insignalAMPA = sort([insignalAMPA; noiseAMPA; 1e5*maxTime*ones(1,nAMPA)]);
    insignalGABA = sort([insignalGABA; noiseGABA; 1e5*maxTime*ones(1,nGABA)]);
    
%    keyboard
    
    writeInput([path 'AMPAinsignal_' num2str(nCtr) '_%d'], insignalAMPA);
    writeInput([path 'GABAinsignal_' num2str(nCtr) '_%d'], insignalGABA);

end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

fid = fopen([path 'inputInfo.txt'], 'w');

fprintf(fid, '%s\n', 'All upstate input');
fprintf(fid, '%f\n', corrRudolph);
fprintf(fid, '%f\n', upFreq);
fprintf(fid, '%f\n', noiseFreq);
fprintf(fid, '%f\n', maxTime);
fprintf(fid, '%d\n', allowVar);
fprintf(fid, '%d\n', randSeed);
fprintf(fid, '%d\n', numCells);

fclose(fid);

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