brian 1.3.1-1 source package in Ubuntu


brian (1.3.1-1) unstable; urgency=low

  * Fresh upstream release
  * Boosted policy compliance to 3.9.2 (no changes)
  * Added up_skip_tests_with_paths patch to avoid test failures on custom 
    test scripts with hardcoded paths

 -- Yaroslav Halchenko <email address hidden>  Mon, 02 Jan 2012 12:49:11 -0500

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Uploaded by:
NeuroDebian Team on 2012-01-05
Uploaded to:
Original maintainer:
NeuroDebian Team
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Low Urgency

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File Size SHA-256 Checksum
brian_1.3.1-1.dsc 1.6 KiB 117e1540e4976a07df999d45e225c8edc5d5284685a812d34b62c3cc28a55406
brian_1.3.1.orig.tar.gz 8.3 MiB 09c2817785be9323efefd81ebba7b70c646563e37924b4bf1b5defd7e384e46e
brian_1.3.1-1.debian.tar.gz 16.0 KiB 3e061d6043f4676599d999028e010edf04bf43d02aba4b2928d2d659dc61fbf8

Available diffs

No changes file available.

Binary packages built by this source

python-brian: 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

python-brian-doc: simulator for spiking neural networks - documentation

 Brian is a clock-driven simulator for spiking neural networks.
 This package provides user's manual (in HTML format), examples and

python-brian-lib: simulator for spiking neural networks -- extensions

 Brian is a clock-driven simulator for spiking neural networks.
 This package provides Python binary extensions.