[ddp] python-brian : simulator for spiking neural networks

[daily-debian-package at enix.org]

Hello,

Today, I'm happy to present you the Debian package python-brian, which
is part of the python section, and maintained by NeuroDebian Team
<team at neuro.debian.net>. 

This package contains : simulator for spiking neural networks.

Brian is a clock-driven simulator for spiking neural networks. It is
designed with an emphasis on flexibility and extensibility, for rapid
development and refinement of neural models. Neuron models are
specified by sets of user-specified differential equations, threshold
conditions and reset conditions (given as strings). The focus is
primarily on networks of single compartment neuron models (e.g. leaky
integrate-and-fire or Hodgkin-Huxley type neurons). Features include:
 - a system for specifying quantities with physical dimensions
 - exact numerical integration for linear differential equations
 - Euler, Runge-Kutta and exponential Euler integration for nonlinear
   differential equations
 - synaptic connections with delays
 - short-term and long-term plasticity (spike-timing dependent plasticity)
 - a library of standard model components, including integrate-and-fire
   equations, synapses and ionic currents
 - a toolbox for automatically fitting spiking neuron models to
   electrophysiological recordings


Package homepage     :
 http://packages.debian.org/unstable/python/python-brian

Package bug homepage :
 http://bugs.debian.org/python-brian

Package QA homepage  :
 http://packages.qa.debian.org/python-brian

Have fun with Debian packages !

-- 
Daily Debian package, by Thomas Petazzoni, thanks to Jérome Petazzoni
Daily-debian-package at the-doors.enix.org
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