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Copy pathSelectivitySignals_wExciteandInhibit.m
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SelectivitySignals_wExciteandInhibit.m
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%%100 Hz non-selective
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Fs = 10;
period_count = 15;
period_length = 0.01; %100 Hz
tvec=1/(1000*Fs):1/(1000*Fs):period_length; % in seconds, converted to ms when plotting.
pulse_width = 0.006;
tIs = 0;
tIe = tIs+pulse_width;
tIe2 = tIe+pulse_width;
signal = -0.6.*(tvec-tIs>0).*(tvec-tIe<0)+1.8.*(tvec-tIe>0).*(tvec-tIe2<0);
signal = repmat(signal,1,period_count);
signal = (50/3)*signal;
[T_Excite,S_Excite]=Excitatory_Model(-70,10,0,signal,length(signal)/Fs,Fs);
[T_Inhibit,S_Inhibit]=Inhibitory_Model(-70,10,0,signal,length(signal)/Fs,Fs);
response = figure;
plot(T_Inhibit,15*ones(size(T_Inhibit)),'b');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
hold on;
plot(T_Inhibit,-5*ones(size(T_Inhibit)),'r');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
hold on;
plot(T_Inhibit,S_Inhibit(:,3),'b');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
hold on;
plot(T_Excite,S_Excite(:,4),'r'), xlabel('Time (ms)'), ylabel('Membrane Potential (mV)');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
ylim([-200 100]);
xlim([min(T_Inhibit) max(T_Inhibit)]);
yticks([-200 -100 0 100]);
xticks([0 40 80 120 160]);
l = legend('Inhibitory','Excitatory');
set(l,'FontSize',24);
set(l,'FontName','Times');
I=[zeros(1,Fs*10),signal,zeros(1,Fs*0)];
t=(1:length(I))/Fs;
current = figure;
plot(t,I), xlabel('Time (ms)'), ylabel('Applied Current(\muA/cm^2)');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
ylim([-25 40]);
xlim([min(t) max(t)]);
xticks([0 40 80 120 160]);
saveas(response,'/Users/manugopa/Dropbox/NeuralResearch/FigsAfterReview/NonSelectiveResponse.fig');
print(response,'/Users/manugopa/Dropbox/NeuralResearch/FigsAfterReview/NonSelectiveResponse.jpg','-djpeg','-r300');
saveas(current,'/Users/manugopa/Dropbox/NeuralResearch/FigsAfterReview/NonSelectiveCurrent.fig');
print(current,'/Users/manugopa/Dropbox/NeuralResearch/FigsAfterReview/NonSelectiveCurrent.jpg','-djpeg','-r275');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%Inhibitory 100 Hz selective
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Fs = 10;
period_count = 15;
period_length = 0.01; %100 Hz
tvec=1/(1000*Fs):1/(1000*Fs):period_length; % in seconds, converted to ms when plotting.
pulse_width = 0.006;
tIs = 0;
tIe = tIs+pulse_width;
tIe2 = tIe+pulse_width;
signal = -5.*(tvec-tIs>0).*(tvec-tIe<0)+10.*(tvec-tIe>0).*(tvec-tIe2<0);
signal = repmat(signal,1,period_count);
[T_Excite,S_Excite]=Excitatory_Model(-70,10,0,signal,length(signal)/Fs,Fs);
[T_Inhibit,S_Inhibit]=Inhibitory_Model(-70,10,0,signal,length(signal)/Fs,Fs);
response = figure;
plot(T_Inhibit,15*ones(size(T_Inhibit)),'b');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
hold on;
plot(T_Inhibit,-5*ones(size(T_Inhibit)),'r');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
hold on;
plot(T_Inhibit,S_Inhibit(:,3),'b');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
hold on;
plot(T_Excite,S_Excite(:,4),'r'), xlabel('Time (ms)'), ylabel('Membrane Potential (mV)');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
ylim([-200 100]);
xlim([min(T_Inhibit) max(T_Inhibit)]);
yticks([-200 -100 0 100]);
xticks([0 40 80 120 160]);
l = legend('Inhibitory','Excitatory');
set(l,'FontSize',24);
set(l,'FontName','Times');
I=[zeros(1,Fs*10),signal,zeros(1,Fs*0)];
t=(1:length(I))/Fs;
current = figure;
plot(t,I), xlabel('Time (ms)'), ylabel('Applied Current(\muA/cm^2)');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
ylim([-25 40]);
xlim([min(t) max(t)]);
xticks([0 40 80 120 160]);
saveas(response,'/Users/manugopa/Dropbox/NeuralResearch/FigsAfterReview/InhibitSelectiveResponse.fig');
print(response,'/Users/manugopa/Dropbox/NeuralResearch/FigsAfterReview/InhibitSelectiveResponse.jpg','-djpeg','-r300');
saveas(current,'/Users/manugopa/Dropbox/NeuralResearch/FigsAfterReview/InhibitSelectiveCurrent.fig');
print(current,'/Users/manugopa/Dropbox/NeuralResearch/FigsAfterReview/InhibitSelectiveCurrent.jpg','-djpeg','-r275');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%Excitatory 100 Hz selective
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Fs = 10;
period_count = 15;
period_length = 0.01; %100 Hz
tvec=1/(1000*Fs):1/(1000*Fs):period_length; % in seconds, converted to ms when plotting.
tIstartRamp = 0.0049;
tImidRamp = 0.005;
tIendRamp = 0.006;
tIendHigh = 0.009;
low_amplitude = -21.9;
high_amplitude = 20;
signal = low_amplitude.*(tvec-tImidRamp<0).*(tvec-tIstartRamp>0).*(tImidRamp-tvec)/(tImidRamp-tIstartRamp)+low_amplitude.*(tvec-tIstartRamp<=0);
signal = signal+high_amplitude*(tvec-tImidRamp>=0).*(tvec-tIendRamp<0).*(tvec-tImidRamp)./(tIendRamp-tImidRamp)+high_amplitude.*(tvec-tIendRamp>=0).*(tvec-tIendHigh<0);
signal = repmat(signal,1,period_count);
[T_Excite,S_Excite]=Excitatory_Model(-70,10,0,signal,length(signal)/Fs,Fs);
[T_Inhibit,S_Inhibit]=Inhibitory_Model(-70,10,0,signal,length(signal)/Fs,Fs);
response = figure;
plot(T_Inhibit,15*ones(size(T_Inhibit)),'b');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
hold on;
plot(T_Inhibit,-5*ones(size(T_Inhibit)),'r');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
hold on;
plot(T_Excite,S_Excite(:,4),'r'), xlabel('Time (ms)'), ylabel('Membrane Potential (mV)');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
hold on;
plot(T_Inhibit,S_Inhibit(:,3),'b');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
ylim([-200 100]);
xlim([min(T_Inhibit) max(T_Inhibit)]);
yticks([-200 -100 0 100]);
xticks([0 40 80 120 160]);
l = legend('Inhibitory','Excitatory');
set(l,'FontSize',24);
set(l,'FontName','Times');
I=[zeros(1,Fs*10),signal,zeros(1,Fs*0)];
t=(1:length(I))/Fs;
current = figure;
plot(t,I), xlabel('Time (ms)'), ylabel('Applied Current(\muA/cm^2)');
set(findall(gca, 'Type', 'Line'),'LineWidth',2);
set(gca,'fontsize',24);
set(gca,'fontname','Times');
ylim([-25 40]);
xlim([min(t) max(t)]);
xticks([0 40 80 120 160]);
saveas(response,'/Users/manugopa/Dropbox/NeuralResearch/FigsAfterReview/ExciteSelectiveResponse.fig');
print(response,'/Users/manugopa/Dropbox/NeuralResearch/FigsAfterReview/ExciteSelectiveResponse.jpg','-djpeg','-r300');
saveas(current,'/Users/manugopa/Dropbox/NeuralResearch/FigsAfterReview/ExciteSelectiveCurrent.fig');
print(current,'/Users/manugopa/Dropbox/NeuralResearch/FigsAfterReview/ExciteSelectiveCurrent.jpg','-djpeg','-r275');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%