SearchAdvanced search
Home
| Tools » Simulators Brian: a simple and flexible simulator for spiking neural networks
PDF version | Permalink
Romain Brette and Dan Goodman
1 July 2009
New neural-simulation technology makes spiking neuron models more accessible to systems neuroscience and neuromorphic engineering.
Authors
Romain Brette CNRS, Ecole Normale Supérieure
Romain Brette is an assistant professor in computational neuroscience. His research interests include spike-based neural computation (especially in the auditory system), theory and simulation of spiking neuron models, and intracellular recording techniques.
Dan Goodman CNRS, Ecole Normale Supérieure
Dan Goodman is a postdoctoral researcher in computational neuroscience. His research interests include the role of spike-timing based coding and computation, and neural simulation technologies.
References
- R. Brette, M. Rudolph, T. Carnevale, M. Hines, D. Beeman, J. M. Bower, M. Diesmann, A. Morrison, P. H. Goodman, F. C. Harris Jr., M. Zirpe, T. Natschläger, D. Pecevski, B. Ermentrout, M. Djurfeldt, A. Lansner, O. Rochel, T. Vieville, E. Muller, A. P. Dav, Simulation of networks of spiking neurons: a review of tools and strategies, J. Comp. Neurosci. 23 (3), pp. 349-98, 2007.
- http://www.briansimulator.org
- W. Stürzl, R. Kempter and J. L. van Hemmen, Theory of arachnid prey localization, Phys. Rev. Lett. 84 (24), pp. 5668-5671, 2000.
- D. Goodman and R. Brette, Brian: a simulator for spiking neural networks in Python, Frontiers in Neuroinformatics 2 (5), 2008.
DOI: 10.2417/1200907.1659
|
Tell us what to cover!
If you'd like to write an article or know of someone else who is doing relevant and interesting stuff, let us know. E-mail the editor and suggest the subject for the article and, if you're suggesting someone else's work, tell us their name, affiliation, and e-mail. |