GitHub - ModelDBRepository/105501: Temporal integration by stochastic recurrent network (Okamoto et al. 2007)

ModelDBRepository / 105501 Public

Notifications You must be signed in to change notification settings
Fork 2
Star 0

Temporal integration by stochastic recurrent network (Okamoto et al. 2007)

modeldb.science/105501

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Okamoto_etal_program.c		Okamoto_etal_program.c
readme.html		readme.html
screenshot.jpg		screenshot.jpg

Repository files navigation

<html><pre>
This is the readme file for the model associated with:

Okamoto H, Isomura Y, Takada M, Fukai T (2007) Temporal integration by
stochastic recurrent network dynamics with bimodal neurons. J
Neurophysiol 97:3859-67

Usage:

Compile the ansi C program with, for example under linux:

gcc -o run.exe Okamoto_etal_program.c -lm

then type
./run.exe
and enter a numerical seed for the random number generator.

The program finishes in less than a minute and produces two data files
whose graphs should look like:

<img src="./screenshot.jpg" alt="screenshot">

</pre></html>