brian 1.4.3-1 source package in Ubuntu

Changelog

brian (1.4.3-1) unstable; urgency=medium

  * New upstream minor release
    - compatible with recent matplotlib (Closes: #811354)
  * debian/copyright
    - adjusted years and for BSD-3-clause

 -- Yaroslav Halchenko <email address hidden>  Tue, 16 Feb 2016 09:38:34 -0500

Upload details

Uploaded by:
NeuroDebian Team
Uploaded to:
Sid
Original maintainer:
NeuroDebian Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release universe python
Xenial release universe python

Downloads

File Size SHA-256 Checksum
brian_1.4.3-1.dsc 2.2 KiB dcc5cfc15abfc76fe4a033710421899176ca32aef1b2c2449f1518572e22da51
brian_1.4.3.orig.tar.gz 10.3 MiB 218bc53f0eab0b443804430a8e33cd28ddae613185286da0e9fe572d2f8e724c
brian_1.4.3-1.debian.tar.xz 14.2 KiB 5f263dae1f0fd6c3803c8618b060bb2686d7059934b1a14532caf0c45423f37c

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

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