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The Brian Simulator

“Brian” is a simulator for spiking neural networks (http://www.briansimulator.org). The focus is on making the writing of simulation code as quick and easy as possible for the user, and on flexibility: new and non-standard models are no more difficult to define than standard ones. This allows scient...

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Detalles Bibliográficos
Autores principales: Goodman, Dan F. M., Brette, Romain
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2751620/
https://www.ncbi.nlm.nih.gov/pubmed/20011141
http://dx.doi.org/10.3389/neuro.01.026.2009
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author Goodman, Dan F. M.
Brette, Romain
author_facet Goodman, Dan F. M.
Brette, Romain
author_sort Goodman, Dan F. M.
collection PubMed
description “Brian” is a simulator for spiking neural networks (http://www.briansimulator.org). The focus is on making the writing of simulation code as quick and easy as possible for the user, and on flexibility: new and non-standard models are no more difficult to define than standard ones. This allows scientists to spend more time on the details of their models, and less on their implementation. Neuron models are defined by writing differential equations in standard mathematical notation, facilitating scientific communication. Brian is written in the Python programming language, and uses vector-based computation to allow for efficient simulations. It is particularly useful for neuroscientific modelling at the systems level, and for teaching computational neuroscience.
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spelling pubmed-27516202009-12-15 The Brian Simulator Goodman, Dan F. M. Brette, Romain Front Neurosci Neuroscience “Brian” is a simulator for spiking neural networks (http://www.briansimulator.org). The focus is on making the writing of simulation code as quick and easy as possible for the user, and on flexibility: new and non-standard models are no more difficult to define than standard ones. This allows scientists to spend more time on the details of their models, and less on their implementation. Neuron models are defined by writing differential equations in standard mathematical notation, facilitating scientific communication. Brian is written in the Python programming language, and uses vector-based computation to allow for efficient simulations. It is particularly useful for neuroscientific modelling at the systems level, and for teaching computational neuroscience. Frontiers Research Foundation 2009-09-15 /pmc/articles/PMC2751620/ /pubmed/20011141 http://dx.doi.org/10.3389/neuro.01.026.2009 Text en Copyright © 2009 Goodman and Brette. http://www.frontiersin.org/licenseagreement 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.
spellingShingle Neuroscience
Goodman, Dan F. M.
Brette, Romain
The Brian Simulator
title The Brian Simulator
title_full The Brian Simulator
title_fullStr The Brian Simulator
title_full_unstemmed The Brian Simulator
title_short The Brian Simulator
title_sort brian simulator
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2751620/
https://www.ncbi.nlm.nih.gov/pubmed/20011141
http://dx.doi.org/10.3389/neuro.01.026.2009
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