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Spikenet: a simulator for modeling large networks of integrate and fire neurons (1999)
| Content Provider | CiteSeerX |
|---|---|
| Author | Rullen, Ru"n. Van Thorpe, Simon Gautrais, Jacques Delorme, Arnaud |
| Abstract | SpikeNET is a simulator for modeling large networks of asynchronously spiking neurons. It uses simple integrate-and-"re neurons which undergo step-like changes in membrane potential when synaptic inputs arrive. If a threshold is exceeded, the potential is reset and the neuron added to a list to be propagated on the next time step. Using such spike lists greatly reduces the computations associated with large networks, and simpli"es implementations using parallel hardware since inter-processor communication can be limited to sending lists of the neurons which just "red. We have used it to model complex multi-layer architectures based on the primate visual system that involve millions of neurons and billions of synaptic connections. Such models are not only biological but also e$cient, robust and very fast, qualities which they share with the human visual system. � 1999 Elsevier Science B.V. All rights reserved. |
| File Format | |
| Journal | Neurocomputing |
| Publisher Date | 1999-01-01 |
| Access Restriction | Open |
| Subject Keyword | Elsevier Science B.v. Right Next Time Step Synaptic Connection Parallel Hardware Human Visual System Step-like Change Membrane Potential Spike List Synaptic Input Large Network Simpli Quot Complex Multi-layer Architecture Simple Integrate-and Quot Primate Visual System Inter-processor Communication Fire Neuron |
| Content Type | Text |