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88 lines
2.9 KiB
Matlab
88 lines
2.9 KiB
Matlab
function words_perceptual_advantage_asynconset2()
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incFeedback=1;
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close all
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%define network
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[W,alpha,mImage,nLetters]=words_weights(incFeedback);
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%define input patterns
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context=zeros(mImage,1);
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context([encode_letter('k'),encode_letter('n'),logical(zeros(1,14)),encode_letter('t')])=1;%KN_T
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letter=zeros(mImage,1);
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letter([logical(zeros(1,28)),encode_letter('i'),logical(zeros(1,14))])=1; %__I_
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numbers=zeros(mImage,1);
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numbers([encode_letter('3'),encode_letter('3'),logical(zeros(1,14)),encode_letter('3')])=1;%alternative context
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offset=75;
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onset=ceil((1+(2-1)*offset)/2);
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ratios=[1,2];
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X=zeros(mImage,offset+1,4);%X is three-dimensional, to allow for time-varying stimulus
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%define images with normal context
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k=0;
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for r=ratios
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k=k+1;
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for t=onset:offset
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X(:,t,k)=letter;
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end
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for t=fix(offset-r*(offset-onset)):offset
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X(:,t,k)=X(:,t,k)+context;
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end
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end
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%define images with "numerical" context
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for r=ratios
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k=k+1;
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for t=onset:offset
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X(:,t,k)=letter;
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end
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for t=fix(offset-r*(offset-onset)):offset
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X(:,t,k)=X(:,t,k)+numbers;
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end
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end
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%present each input to the network in turn and record the results
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for k=1:size(X,3)
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x=X(:,:,k);
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[y,e,r,yTrace]=dim_activation_hierarchical(W,x,incFeedback);
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resp(k,:)=yTrace{1}(2*nLetters+9,:); %record response of node selective for letter i in 3rd position
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respMean(k)=mean(resp(k,:));
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figure(k),clf, words_plot_results(x,y,r,alpha);
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c=0; for t=1:ceil(size(X,2)/8):size(X,2), for l=1:4, c=c+1; subplot(22,4,56+c), letter=X(1+(l-1)*14:l*14,t,k);draw_letter(letter);end,end
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end
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human=[81,86.7,63.3,61.7];
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figure(5),clf
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axes('Position',[0.2,0.2,0.6,0.6]),
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cm='r';
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ch=[0.5,0,0.5];
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[hAx,hLine1,hLine2] = plotyy(ratios,respMean(1:2),ratios,human(1:2));
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set(hLine1,'LineStyle','-','Color',cm,'Marker','o','LineWidth',2,'MarkerFaceColor',cm)
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set(hLine2,'LineStyle','-','Color',ch,'Marker','s','LineWidth',2,'MarkerFaceColor',ch)
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axis(hAx(1),[0.5,2.5,0.8,2.3]);
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axis(hAx(2),[0.5,2.5,60,93]);
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set(hAx(1),'FontSize',12);set(hAx(1),'XColor','k','YColor',cm)
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set(hAx(2),'FontSize',12);set(hAx(2),'XColor','k','YColor',ch)
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set(hAx(1),'XTick',[],'YTick',[]),
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set(hAx(2),'XTick',[],'YTick',[])
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hold on
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[hAx,hLine1,hLine2] = plotyy(ratios,respMean(3:4),ratios,human(3:4));
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set(hLine1,'LineStyle','--','Color',cm,'Marker','o','LineWidth',2,'MarkerFaceColor',cm)
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set(hLine2,'LineStyle','--','Color',ch,'Marker','s','LineWidth',2,'MarkerFaceColor',ch)
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axis(hAx(1),[0.5,2.5,0.8,2.3]);
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axis(hAx(2),[0.5,2.5,60,93]);
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set(hAx(1),'FontSize',12);set(hAx(1),'XColor','k','YColor',cm)
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set(hAx(2),'FontSize',12);set(hAx(2),'XColor','k','YColor',ch)
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set(hAx(1),'XTick',[],'YTick',[0:0.5:4])
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set(hAx(2),'XTick',ratios,'YTick',[60:10:90]),
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xlabel(hAx(2),'relative duration'),
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ylabel(hAx(1),'mean activation','Color',cm,'FontSize',12),
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ylabel(hAx(2),'% correct','Color',ch,'FontSize',12)
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set(gcf,'PaperSize',[8 7],'PaperPosition',[0 0 8 8]);
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print(gcf, '-dpdf', 'words_perceptual_advantage_asynconset2.pdf')
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