31 lines
1.1 KiB
Matlab
31 lines
1.1 KiB
Matlab
clear all
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close all
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load('pyramidal_response.mat')
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threshold = 20; % mV
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figure()
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hold on
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plot(time, neuronal_data, 'color', [0.2 0.5 0.7], 'linewidth', 1., ...
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'displayname', 'membrane voltage')
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plot(spikes, ones(size(spikes)) .* threshold, 'ro', 'markersize', 5, ...
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'displayname', 'spike times')
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line([time(1) time(end)], [threshold threshold], 'linestyle', '--', ...
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'linewidth', 0.75, 'color', [0.5 0.5 0.9], 'displayname', 'threshold')
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xlabel('time [s]', 'fontname', 'times', 'fontsize', 11)
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ylabel('potential [mV]', 'fontname', 'times', 'fontsize', 11)
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title('ELL pyramidal neuron', 'fontname', 'times', 'fontsize', 12)
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ylim([0 35])
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xlim([0 2.25])
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box('off')
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l = legend(gca,'show');
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set(l,'location','northwest', 'fontsize', 7, 'linewidth', 1.);
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set(gca, 'xminortick','on','yminortick','on')
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set(gca, 'tickdir','out', 'linewidth', 1.5, 'fontname', 'times', ...
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'fontsize', 11)
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set(gcf, 'paperunits', 'centimeters', 'papersize', [15 7.5]);
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set(gcf, 'paperposition',[0.0 0.0 15, 7.5], 'color', 'white')
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saveas(gcf, [pwd '/../lecture/images/spike_detection.pdf'], 'pdf')
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