52 lines
1.3 KiB
Matlab
52 lines
1.3 KiB
Matlab
input = 65.0; % lifadapt 100Hz
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%input = 8.0; % lifadapt 10Hz
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%input = 15.7; % lif 100Hz
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%input = 8.3; % lif 10Hz
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trials = 10;
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tmax = 50.0;
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Dnoise = 0.1;
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Dounoise = 5e1;
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outau = 10.0;
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adapttau = 0.2;
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adaptincr = 0.5;
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windows = 0.05:0.05:1.0;
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pmax = zeros( size( windows ) );
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for j = 1:length( windows )
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w = windows( j );
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spikes = lifadaptspikes( trials, input, tmax, Dnoise, adapttau, adaptincr );
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%spikes = lifouspikes( trials, input, tmax, Dounoise, outau);
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[ n1, bins1 ] = counthist( spikes, w );
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spikes = lifadaptspikes( trials, input+10.0, tmax, Dnoise, adapttau, adaptincr );
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%spikes = lifouspikes( trials, input+10.0, tmax, Dounoise, outau );
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[ n2, bins2 ] = counthist( spikes, w );
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subplot( 2, 1, 1 );
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bar( bins1, n1, 'b' );
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hold on;
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bar( bins2, n2, 'r' );
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hold off;
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subplot( 2, 1, 2 );
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bmax = max( [ length( bins1 ), length( bins2 ) ] );
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decision1 = zeros( bmax, 1 );
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decision2 = zeros( bmax, 1 );
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cs1 = ones( bmax, 1 );
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cs1(1:length(n1)) = cumsum( n1 );
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cs2 = ones( bmax, 1 );
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cs2(1:length(n2)) = cumsum( n2 );
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cbins = 0:1:bmax-1;
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plot( cbins, cs1, 'b' );
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hold on;
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plot( cbins, cs2, 'r' );
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plot( cbins, cs1-cs2, 'g' );
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hold off;
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pause( 0.1 );
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pmax(j) = max( cs1-cs2 );
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end
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clf;
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subplot( 1, 1, 1 );
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plot( windows, pmax );
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