SpikeStream: a fast and flexible simulator of spiking neural networks

Authors:
David Gamez
Affiliations:
Department of Computer Science, University of Essex, Colchester, UK
Venue:
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Year:
2007

Citing 2
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Spiking Neuron Models: An Introduction

Spiking Neuron Models: An Introduction
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics

Neural Computation

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Abstract

SpikeStream is a new simulator of biologically structured spiking neural networks that can be used to edit, display and simulate up to 100,000 neurons. This simulator uses a combination of event-based and synchronous simulation and stores most of its information in databases, which makes it easy to run simulations across an arbitrary number of machines. A comprehensive graphical interface is included and SpikeStream can send and receive spikes to and from real and virtual robots across a network. The architecture is highly modular, and so other researchers can use its graphical editing facilities to set up their own simulation networks or apply genetic algorithms to the SpikeStream databases. SpikeStream is available for free download under the terms of the GPL.