Imperial College London

Dr Dan Goodman

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 6264d.goodman Website

 
 
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Location

 

1001Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Goodman:2008:10.3389/neuro.11.005.2008,
author = {Goodman, D and Brette, R},
doi = {10.3389/neuro.11.005.2008},
journal = {Front Neuroinform},
title = {Brian: a simulator for spiking neural networks in python.},
url = {http://dx.doi.org/10.3389/neuro.11.005.2008},
volume = {2},
year = {2008}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - "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.
AU - Goodman,D
AU - Brette,R
DO - 10.3389/neuro.11.005.2008
PY - 2008///
TI - Brian: a simulator for spiking neural networks in python.
T2 - Front Neuroinform
UR - http://dx.doi.org/10.3389/neuro.11.005.2008
UR - https://www.ncbi.nlm.nih.gov/pubmed/19115011
UR - http://hdl.handle.net/10044/1/40625
VL - 2
ER -