Trial Examples

Contents

Example 1: A simple data set

close all; clear all;
lengthTrial=1;

Create History windows of interest

windowTimes = [0 .1 .2 .4];
h=History(windowTimes);
figure; h.plot;

Load Covariates

load CovariateSample.mat; %load position and force covariates
cc=CovColl({position,force});
cc.setMaxTime(lengthTrial);
figure; cc.plot;

Create trial events

eTimes = sort(rand(1,2)*lengthTrial);
eLabels={'E_1','E_2'};
e=Events(eTimes,eLabels); %use default eventColor 'r'
figure; e.plot;

Create neural Spike Train Data

clear nst;
for i=1:4
    spikeTimes = sort(rand(1,100))*lengthTrial;
    nst{i}=nspikeTrain(spikeTimes,'',.001);
end
spikeColl=nstColl(nst); %create a nstColl
figure; spikeColl.plot;

Finally we have everything we need to create a Trial object.

trial1=Trial(spikeColl, cc, e, h);
figure; trial1.plot; % plot all the data;

Mask out some of the data and plot the trial once again

trial1.setCovMask({{'Position','x'},{'Force','f_x'}})
figure; trial1.plot;

trial1.getHistForNeurons([1:2]);

Example 2: Analyzing Trial Data

Examples of neural spike analysis using the Neural Spike Analysis Toolbox or using standard methods standard methods

Published with MATLAB® R2025b