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76 lines
1.6 KiB
Matlab
76 lines
1.6 KiB
Matlab
function pc_featural_selection(alg)
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%alg 1=linear_PC/BC, 2=nonlinear_PC/BC
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if nargin<1, alg=1; end
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if alg==1
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w11=0.8; w22=0.3; %define weights to node 1 and node 2
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eta=0.1;zeta=1;vartheta=0; %define parameters for algorithm
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elseif alg==2
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w11=0.8; w22=0.5; %define weights to node 1 and node 2
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eta=0.1; %define parameters for algorithm
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end
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%create weight matrix
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W=[w11,1-w11;
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1-w22,w22];
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%define bottom input for each trial
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xscale=0.85;
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X=[1,0,1,1;
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0,1,1,1].*xscale;
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stim_off=13; %define iteration at which stimulus is removed from input
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%define attentional state for each trial
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attn(:,:,2)=[1,0,1,0;
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0,1,0,1];
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attn(:,:,1)=zeros(size(attn(:,:,2)));
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%simulate experiment
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resp=[];
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for p=1:size(X,2)
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x=X(:,p);
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a=attn(:,p,:);
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if alg==1
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y=linear_PCBC_attention_model(x,W,a,eta,zeta,vartheta,stim_off);
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elseif alg==2
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y=nonlinear_PCBC_attention_model(x,W,a,eta,stim_off);
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end
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resp=[resp;y(1,:)];%collect response traces for node 1 over different
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%test conditions
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end
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%plot the results
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clf
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subplot(1,3,[1:2])
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hands=plot(resp');
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rr=[0.85,0,0];gg=[0,0.85,0];bb=[0,0,0.85];
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style=['--';'-.';'- ';'- '];
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color=[rr;gg;rr;gg];
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width=[6;4;6;4];
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for j=1:size(X,2)
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set(hands(j),'LineStyle',style(j,:),'Color',color(j,:),'LineWidth',width(j));
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end
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plotxmin=0;
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plotxmax=length(resp);
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plotymax=1.05*max(max(resp));
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plotymin=min(min(resp))-0.025;
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axis([plotxmin,plotxmax,plotymin,plotymax])
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hold on
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plot([plotxmin,plotxmax],[0,0],'k-')
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set(gca,'FontSize',18);
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xlabel('Time'),
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ylabel('Response');
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legend('pref attend pref','poor attend poor','pair attend pref','pair attend poor','Location',[0.75,0.75,0.01,0.01]);
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