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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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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2009
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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. |
format | Text |
id | pubmed-2751620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
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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