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Brian hears: an auditory library in Python

Brian hears: an auditory library in Python

Brian hears is a new auditory library. It includes sound generation and manipulation, filter banks (gammatone, gammachirp, etc), detailed cochlear models (dynamic compressive gammachirp, DRNL...), HRTF filtering, and easy integration with the Brian simulator for spiking neural modeling. This library is a part of the Brian neural network simulator, available on almost all platforms, but it can also be used on its own. It is written in the Python programming language, which is an easy, concise and highly developed language with many advanced features and development tools, excellent documentation and a large community of users providing support and extension packages.

To download Brian hears, simply download the Brian simulator (http://www.briansimulator.org). The web site contains installation instructions and the documentation. Many examples are provided in the distribution (don’t forget to download the extras.zip file). There is also a public forum where you can ask any questions: http://groups.google.fr/group/briansupport

Brian is also available from the NeuroDebian repository: http://neuro.debian.net/pkgs/python-brian.html pre-packaged for all recent Debian and Ubuntu releases.

Brian is being developed by Romain Brette (romain@xxxxxxxxxxxxxxxxxx) and Dan Goodman (dan@xxxxxxxxxxxxxxxxxx). This release also includes contributions by Bertrand Fontaine, Cyrille Rossant, Victor Benichoux and Boris Gourévitch.

Romain Brette