I'm looking for an event-driven strategy to implement synaptic noise in SNNs, that follows a Gaussian white process. Note that I'm interested on providing an input sequence Gaussian-distributed (i.e., noisy current contribute) to single neurons.
You can use the code "gasdev.c" from the book "Numerical recipes in c" to generate white noise with Gaussian distribution. By the way I sent you the "gasdev.c" file.
This code is useful for random generation in a Gaussian-like fashion, but I need to know how to implement a typical synaptic current input with amplitude white noise distributed. I don't know what is the typical temporal distribution..
For those who are interested, there is an excellent solution (written in MATLAB) in "makeData" directory of the archive in the attached link.
The file is called "whitenoise.m".
http://www.zeynsaigol.com/software/integratefirefit.html
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