written by Colin F. C. Thomson

The Wilson-Cowan Delayed Neuron Network Model compares the Wilson-Cowan equations for network dynamics with a network of excitatory and inhibitory neurons. In this version of the Wilson-Cowan model, the differential equations have two different delays to represent the interaction between the excitatory and inhibitory populations of neurons. The neurons fire based on a weighted random number generator, and the activity of each population can be compared directly to the activity levels predicted by the Wilson-Cowan model.

The Wilson-Cowan Delayed Neuron Network Model was developed using the Easy Java Simulations (EJS) modeling tool.  It is distributed as a ready-to-run (compiled) Java archive.   Double clicking the jar file will run the program if Java is installed.  You can modify this simulation if you have EJS installed by right-clicking within the map and selecting "Open Ejs Model" from the pop-up menu item.

• Download ejs_neuro_WilsonCowanDelay.jar - 1190kb Java Archive File

Published December 22, 2012
Last Modified June 13, 2014

This file has previous versions.

The source code zip archive contains an XML representation of the Bead on a Wilson-Cowan Delayed Neuron Network Model.  Unzip this archive in your EJS workspace to compile and run this model using EJS.

• Download ejs_neuro_WilsonCowanDelay.zip - 19kb Compressed File

Last Modified December 22, 2012