Event-based neural network simulator for pulse coupled neurons
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nsync - event based neural network simulator for pulse coupled neurons

This package implements a JavaScript based simulator for pulse coupled neural networks with delay as introduced in:

U. Ernst, K. Pawelzik, and T. Geisel. Synchronization induced by temporal delays in pulse-coupled oscillators. Phys. Rev. Lett., 74, 1995. http://www.nld.ds.mpg.de/downloads/publications/p1570_1.pdf

The algorithm is based on the concept of numerically exact integration as presented in:

Rotter S and Diesmann M. Exact Digital Simulation of Time-Invariant Linear Systems with Applications to Neuronal Modeling. Biological Cybernetics 81:381-402 (1999) http://www.springerlink.com/content/08legf57tjkc6nj0 (no publically available version)

Includes some basic visualization and the ability to interactively perturb individual neurons.

  1. Download
  2. Open examples/html/index.html in a modern browser (tested in Firefox 3.5 and Chrome 6)
  3. pure bliss

Batch simulations

This package can also be run from the command line for batch simulation. See the examples/node directory for details. The command line mode requires node.js.

Run Tests in Browser

Open tests/index.html in a modern browser

Run Tests in node.js

  1. install kof/node-qunit
  2. cli -c ./src/base.js -t ./tests/test_base.js