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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.
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.
Last Modified December 22, 2012