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59 lines
1.6 KiB
Matlab
59 lines
1.6 KiB
Matlab
function [y,ron,roff,eon,eoff,Y,Eon,Eoff]=dim_conv(wFFon,wFFoff,xon,xoff,iterations)
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epsilon=1e-9;
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psi=5000;
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epsilon1=0.0001; %>0.001 this becomes significant compared to y and hence
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%produces sustained responses and more general suppression
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epsilon2=100*epsilon1*psi;%this determines scaling of initial transient response
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%(i.e. response to linear filters).
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nMasks=size(wFFon,3);
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if nargin<5, iterations=50; end
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%normalize weights
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wFFon=single(wFFon);
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wFFoff=single(wFFoff);
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for i=1:nMasks
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norm=sum(sum([wFFon(:,:,i),wFFoff(:,:,i)]))./psi;
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wFFon(:,:,i)=wFFon(:,:,i)./(epsilon+norm);
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wFFoff(:,:,i)=wFFoff(:,:,i)./(epsilon+norm);
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norm=max(max([wFFon(:,:,i),wFFoff(:,:,i)]))./psi;
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wFBon(:,:,i)=wFFon(:,:,i)./(epsilon+norm);
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wFBoff(:,:,i)=wFFoff(:,:,i)./(epsilon+norm);
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end
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%initialise outputs
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[a,b,z]=size(xon);
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y=zeros(a,b,nMasks,'single');
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%iterate to determine steady-state response
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for t=1:iterations
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fprintf(1,'.%i.',t);
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%update error units
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ron=zeros(a,b,'single');
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roff=zeros(a,b,'single');
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for i=1:nMasks
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ron=ron+conv2(y(:,:,i),wFBon(:,:,i),'same');
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roff=roff+conv2(y(:,:,i),wFBoff(:,:,i),'same');
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end
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eon=xon(:,:,min(t,z))./(epsilon2+ron);
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eoff=xoff(:,:,min(t,z))./(epsilon2+roff);
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%update outputs
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for i=1:nMasks
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y(:,:,i)=(epsilon1+y(:,:,i)).*...
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(filter2(wFFon(:,:,i),eon,'same')+filter2(wFFoff(:,:,i),eoff,'same'));
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y(:,:,i)=max(0,y(:,:,i));
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end
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%record response over time
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Y(:,:,:,t)=y;
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Eon(:,:,t)=eon;
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Eoff(:,:,t)=eoff;
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%don't record responses over time if memory is short
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%Y=y;
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%Eon=eon;
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%Eoff=eoff;
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end
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disp(' ');
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