%
% This function generates upstate input, with varying jittering
%
% periodLen(1) = time A
% periodLen(2)= time B
% periodLen(3) = time C
% ...
% corrFlag(1) = is input 100% correlated or uncorrelated
%
% allowVar = 1 --> mother/daughter generation (DEFAULT)
% allowVar = 0 --> fixed number of doubletts for all spikes train-version
function makeInputWithCorrShift125center(periodLen, corrFlag, ...
corrRudolph, upFreq, ...
noiseFreq, maxTime, ...
allowVar, ...
randSeed, numCells)
rand('seed', randSeed)
randSeed = rand('seed');
disp(['Setting random seed to ' num2str(randSeed)])
path = [pwd '/INDATA/'];
nAMPA = 127;
nGABA = 93;
[Xc,Yc,Zc] = meshgrid(-2:2,-2:2,-2:2);
cIdx = find( -1 <= Xc & Xc <= 1 & ...
-1 <= Yc & Yc <= 1 & ...
-1 <= Zc & Zc <= 1);
downFreq = 1e-9;
disp(['All upstate input with varying corr, freq ' num2str(upFreq)])
t = 0;
for i=1:numCells
allInsignalAMPA{i} = [];
end
while(t < maxTime)
for tIdx = 1:length(periodLen)
if(allowVar)
periodAMPAcorr = makeDaughterNoise(corrRudolph, nAMPA, upFreq, ...
periodLen(tIdx));
else
periodAMPAcorr = makeTrainNoise(corrRudolph, nAMPA, upFreq, ...
periodLen(tIdx));
end
for i=1:numCells
if(corrFlag(tIdx) & nnz(intersect(cIdx,i)))
% We should use the correlated input here (center neuron + corr window)
periodAMPA = periodAMPAcorr;
else
% The input should be uncorrelated!
if(allowVar)
periodAMPA = makeDaughterNoise(corrRudolph, nAMPA, upFreq, ...
periodLen(tIdx));
else
periodAMPA = makeTrainNoise(corrRudolph, nAMPA, upFreq, ...
periodLen(tIdx));
end
end
allInsignalAMPA{i} = [allInsignalAMPA{i}; t + periodAMPA];
end
t = t + periodLen(tIdx);
end
end
for i=1:numCells
% allInsignalAMPA{i}(isnan(allInsignalAMPA{i})) = inf;
allInsignalAMPA{i}(allInsignalAMPA{i} > maxTime) = inf;
allInsignalAMPA{i} = sort(allInsignalAMPA{i},1);
end
%keyboard
for nCtr = 1:numCells
% Generate uncorrelated noise
if(allowVar)
allNoiseAMPA{nCtr} = makeDaughterNoise(corrRudolph, nAMPA, ...
noiseFreq, maxTime);
allNoiseGABA{nCtr} = makeDaughterNoise(corrRudolph, nGABA, ...
noiseFreq, maxTime);
allInsignalGABA{nCtr} = makeDaughterNoise(corrRudolph, nGABA, ...
upFreq, maxTime);
else
allNoiseAMPA{nCtr} = makeTrainNoise(corrRudolph, nAMPA, ...
noiseFreq, maxTime);
allNoiseGABA{nCtr} = makeTrainNoise(corrRudolph, nGABA, ...
noiseFreq, maxTime);
allInsignalGABA{nCtr} = makeTrainNoise(corrRudolph, nGABA, ...
upFreq, maxTime);
end
end
%plot(mod(allInsignalAMPA{1},0.5), allInsignalAMPA{1} - allInsignalAMPA{2},'.')
for nCtr = 1:numCells
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
writeInput([path 'AMPAinsignal_' num2str(nCtr) '_%d'],allInsignalAMPA{nCtr});
writeInput([path 'GABAinsignal_' num2str(nCtr) '_%d'],allInsignalGABA{nCtr});
writeInput([path 'AMPAnoise_' num2str(nCtr) '_%d'], allNoiseAMPA{nCtr});
writeInput([path 'GABAnoise_' num2str(nCtr) '_%d'], allNoiseGABA{nCtr});
cellNum = nCtr;
noiseAMPA = allNoiseAMPA{nCtr};
noiseGABA = allNoiseGABA{nCtr};
insignalAMPA = allInsignalAMPA{nCtr};
insignalGABA = allInsignalGABA{nCtr};
eval(['save ' path 'CorrFlagInput_' num2str(nCtr) ...
'_id' num2str(randSeed) '.mat' ...
' insignalAMPA insignalGABA ' ...
' noiseAMPA noiseGABA randSeed cellNum periodLen corrFlag']);
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
fid = fopen([path 'inputInfo.txt'], 'w');
fprintf(fid, '%s\n', 'correlation shifting (corrFlag), only center 27');
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);
fprintf(fid, '%d\n', length(periodLen)); % Number of period shifts
for i=1:length(periodLen)
fprintf(fid, '%f\n', periodLen(i));
fprintf(fid, '%f\n', corrFlag(i));
end
fclose(fid);