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69 lines
1.6 KiB
Matlab
69 lines
1.6 KiB
Matlab
function v1_flankers_gilbert
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crop=0;
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iterations=20;
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plotAng=1;
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node=1;
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%DEFINE SYNAPTIC WEIGHTS
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phases=[0,180]; %even on and off
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%phases=[90,270];; %odd only
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%phases=[90,270,0,180]; %even and odd
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texture=1;
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lateral=1;
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[w,v,v1Masks,lgnMasks]=filter_definitions_V1_simple_diffGauss([],[],1, [0,0],phases);
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if texture
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[w,v,v1Masks]=filter_definitions_V1_simple_diffGauss(w,v,1, [v1Masks,0],phases);
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phases=[phases;phases];
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end
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if lateral
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[w,v]=filter_definitions_V1_recurrent(w,v,0.5, [0,lgnMasks],phases);
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end
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[n,m]=size(w);
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nTypes=n/8;
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%DEFINE TEST IMAGES
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%for FF modulation
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spacing=2;
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%for recurrent modulation
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spacing=5
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%Im=image_gilbert_simple(spacing);
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Im=image_gilbert(spacing);
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%find location of centre of RF
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xcoord=mean(find(max(Im{1})>0.75));
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ycoord=mean(find(max(Im{1}')>0.75));
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if phases(1,1)==90, xcoord=xcoord-2, end
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if phases(1,1)==270, xcoord=xcoord+2, end
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clf
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for k=1:length(Im)
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fprintf(1,'.%i.',k);
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I=1-Im{k};
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[X]=preprocess_V1_input(I);
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[a,b]=size(I);
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%plot original image
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maxsubplot(1+nTypes,length(Im),k), plot_cropped_image(I,crop,[0,1]);
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%perform competition
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[Y,E,R,Ytrace]=dim_activation_conv_recurrent(w,X,[],iterations,v);
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resp=mean(Ytrace{node},3);
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for j=1:nTypes
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maxsubplot(1+nTypes,length(Im),k+j*length(Im)), plot_cropped_image(Y{plotAng+8*(j-1)},crop,[0,0.25]),
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end
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sc(k)=resp(xcoord,ycoord);
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end
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figure,
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clf
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axes('Position',[0.145,0.55,0.79,0.4]),bar([1:length(Im)],sc,'b')
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top=max(max(sc));
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axis([0.25,9.75,0,1.05*top])
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set(gca,'XTickLabel',[],'FontSize',20,'Box','off');
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ylabel('Response')
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crop=0;
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for i=1:length(Im)
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maxsubplot(7,12,38+i);plot_cropped_image(1-Im{i},crop,[0,1])
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end
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