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@@ -1,34 +0,0 @@
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-function [STA_mean_normalized,STA_mean]=buildSTA ...
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- (stim_signal,membraneP,STA_fnbr)
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-% [STA_mean_normalized,STA_mean]=buildSTA ...
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-% (stim_signal,membraneP,STA_fnbr)
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-%is getting the contrast value that happen before each response
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-%and multiplies them with the average membrane Potential per frame.
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-% INPUT: stim_signal -> stimulus signal containing the contrast values in 2D
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-% membraneP -> membrane potential average per frame
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-% STA_fnbr -> nbr of frames you go back in time
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-% OUTPUT: STA_mean_normalized -> normalized STA, relevant for
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-% computing the NL
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-% STA_mean -> not normalized STA
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-
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-%------------------------------------------------------------------------------------------
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-%% 1. Loop over all membrane potential values
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-STA_fnbr=STA_fnbr-1; %the first value is one frame, so to take exactly 10 frames, substract one here.
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-for kk=1:length(membraneP)-(STA_fnbr)
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- if kk==1
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- signal1=membraneP(kk+(STA_fnbr))*stim_signal(:,kk:kk+(STA_fnbr)); %multiply the average values with the stimulus signal before; it start now from 1 and goes until the element kk
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- else
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- signal2=membraneP(kk+(STA_fnbr))*stim_signal(:,kk:kk+(STA_fnbr)); %multiply the average values with the stimulus signal before
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- signal1=signal1+signal2; %make the sum to get the average at the end
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- clear signal2;
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- end
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-end
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-%build the average
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-STA_mean=signal1/length(1:length(membraneP)-(STA_fnbr)); %not normalized
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-
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-%normalize
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-STA_mean_normalized = STA_mean(:) / sqrt(sum(STA_mean(:).*STA_mean(:))); %relevant for computing the NL
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-STA_mean_normalized=reshape(STA_mean_normalized,size(STA_mean));
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-
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-
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-end
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