https://github.com/PerezOrtegaJ/Neural_Ensemble_Analysis
Tip revision: 9d37fd031dfbdb4eb69faa449d0a6416267a7d4f authored by Jesús Pérez on 28 July 2020, 20:36:58 UTC
Update README.md
Update README.md
Tip revision: 9d37fd0
Plot_Coactivity.m
function Plot_Coactivity(coactivity,name,threshold,samples_per_second)
% Plot Coactivity
%
% Plot_Coactivity(coactivity,name,threshold,samples_per_second)
%
% Perez-Ortega Jesus - March 2018
% Modified Nov 2018
% Modified May 2019
switch (nargin)
case 1
name = '';
threshold = [];
samples_per_second = 1;
case 2
threshold = [];
samples_per_second = 1;
case 3
samples_per_second = 1;
end
fig = findobj('name',['Raster (' name ')']);
if isempty(fig)
Set_Figure(['Coactivity (' name ')'], [0 0 1220 230]);
ax = Set_Axes(['CoactiveAxes' name],[0 0 1 1]);
else
figure(fig);
ax = Hold_Axes(['CoactiveAxes' name]);
if isempty(ax)
ax = Set_Axes(['CoactiveAxes' name],[0 0 1 0.34]);
else
cla;
end
end
F = length(coactivity);
plot(ax,coactivity,'k'); hold on
if ~isempty(threshold)
plot(ax,[1 F],[threshold threshold],'--','color',[0.5 0.5 0.5],'lineWidth',2)
end
set(ax,'tag',['CoactiveAxes' name])
ylabel('coactivity')
ylim([min(coactivity(3:end-2)) max(coactivity(3:end-2))])
xlim([0 F])
Set_Label_Time(F,samples_per_second)