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29 lines
562 B
Matlab
29 lines
562 B
Matlab
function [X]=preprocess_V1_input(I,sigma)
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response_gain=2*pi;
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[a,b,z]=size(I);
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I=single(I);
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LoG=filter_definitions_LGN(sigma);
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for t=1:z %at each time step
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%calculate LGN neuron responses to input image
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Xonoff=conv2(I(:,:,t),LoG,'same');
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% Xonoff=Xonoff./max(max(abs(Xonoff)));
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%apply gain to response
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Xonoff=(response_gain.*Xonoff);
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%apply saturation to response
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Xonoff=tanh(Xonoff);
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%split into ON and OFF channels
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Xon=Xonoff;
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Xon(find(Xon<0))=0;
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Xoff=-Xonoff;
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Xoff(find(Xoff<0))=0;
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X{1}(:,:,t)=Xon;
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X{2}(:,:,t)=Xoff;
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end
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