spikegauss

version 2.0.0.0 (3.6 KB) by R P
Generate spike vector time series (SPKVEC) from the TIMESTAMPS of the spikes.

402 Downloads

Updated 30 Mar 2016

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Generate SPKVEC time series from TIMESTAMPS.

Syntax:
[spkvec,timevec,updatedpeak]=spikegauss(timestamps,srate,min_timevec,max_timevec,sigma,peak)

Each spike is represented by a gaussian centered on each of the TIMESTAMPS
SRATE is the sampling rate of the generated time series
MIN_TIMEVEC and MAX_TIMEVEC are the limits the generated time series
SIGMA is the standard deviation
PEAK is the value of the peak of the gaussian (use peak=0 for gaussian
integral = 1; thus sum(spkvec) is equal to the number of spikes)


Example:

timestamps=[-1.22 0.33 0.34 0.35 0.40 3.70 7.30]; % sec
srate=1000; % Hz
min_timevec=-4; % sec
max_timevec=8; % sec
sigma=0.1; % sec
peak=0;

[spkvec,timevec,updatedpeak]=spikegauss(timestamps,srate,min_timevec,max_timevec,sigma,peak);

plot(timevec,spkvec,'k')
hold on
plot([min_timevec max_timevec],[1 1]*updatedpeak,'-r')
plot(timestamps,rand(size(timestamps))/10*updatedpeak+updatedpeak,'ob')
hold off

Cite As

R P (2022). spikegauss (https://www.mathworks.com/matlabcentral/fileexchange/41248-spikegauss), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R13
Compatible with any release
Platform Compatibility
Windows macOS Linux

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