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Brian: a simulator for spiking neural networks in Python

Open access
Goodman, Dan·2008·Frontiers in Neuroinformatics

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.

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Metadata

Authors
Goodman, D.
Venue
Frontiers in Neuroinformatics
Published
2008
Volume
2
Pages
5-5
ISSN
1662-5196 (ISSN-L)
OpenAlex
W2018027127
Cited by
518
References
0
FWCI
9.74
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Brian: a simulator for spiking neural networks in Python. https://app.cochat.ai/papers/10.3389/neuro.11.005.2008
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Goodman, D. (2008). Brian: a simulator for spiking neural networks in Python. Frontiers in Neuroinformatics. https://doi.org/10.3389/neuro.11.005.2008

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