Brian: a simulator for spiking neural networks in Python Export

@article{citeulike:4200271, 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.}, author = {Goodman, Dan}, citeulike-article-id = {4200271}, citeulike-linkout-0 = {http://dx.doi.org/10.3389/neuro.11.005.2008}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19115011}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19115011}, doi = {10.3389/neuro.11.005.2008}, issn = {16625196}, journal = {Frontiers in Neuroinformatics}, keywords = {networks, neural, python, software, spiking}, posted-at = {2009-11-06 22:26:14}, priority = {3}, 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} }

TY - JOUR ID - citeulike:4200271 L3 - citeulike-article-id:4200271 N2 - "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. JF - Frontiers in Neuroinformatics SN - 16625196 TI - Brian: a simulator for spiking neural networks in Python VL - 2 KW - networks KW - neural KW - python KW - software KW - spiking AU - Goodman, Dan PY - 2008/// UR - http://dx.doi.org/10.3389/neuro.11.005.2008 ER -