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Brian: a simulator for spiking neural networks in python

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Title: Brian: a simulator for spiking neural networks in python
Authors: Goodman, D
Brette, R
Item Type: Journal Article
Abstract: "Brian" is a new simulator for spiking neural networks, written in Python (http://brian. di.ens.fr). It is an intuitive and highly flexible tool for rapidly developing new models, especially networks of single-compartment neurons. In addition to using standard types of neuron models, users can define models by writing arbitrary differential equations in ordinary mathematical notation. Python scientific libraries can also be used for defining models and analysing data. Vectorisation techniques allow efficient simulations despite the overheads of an interpreted language. Brian will be especially valuable for working on non-standard neuron models not easily covered by existing software, and as an alternative to using Matlab or C for simulations. With its easy and intuitive syntax, Brian is also very well suited for teaching computational neuroscience.
Issue Date: 18-Nov-2008
Date of Acceptance: 26-Oct-2008
URI: http://hdl.handle.net/10044/1/40625
DOI: http://dx.doi.org/10.3389/neuro.11.005.2008
ISSN: 1662-5196
Publisher: Frontiers Media
Journal / Book Title: Frontiers in Neuroinformatics
Volume: 2
Copyright Statement: © 2008 Goodman and Brette. This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
Keywords: Python
computational neuroscience
integrate and fire
neural networks
spiking neurons
Publication Status: Published
Article Number: 5
Appears in Collections:Electrical and Electronic Engineering
Faculty of Engineering