Source: brian
Section: python
Priority: extra
Maintainer: NeuroDebian Team
Uploaders: Yaroslav Halchenko , Michael Hanke
Build-Depends: debhelper (>= 7.0.50~), python-all-dev (>= 2.5), python-support,
python-matplotlib (>= 0.90.1),
python-numpy (>= 1.3.0),
python-scipy (>= 0.7.0),
python-sympy,
python-nose,
python-sphinx, graphviz, texlive-latex-base, texlive-latex-extra, dvipng
Standards-Version: 3.9.5
Homepage: http://www.briansimulator.org/
Vcs-Browser: http://anonscm.debian.org/cgit/pkg-exppsy/brian.git
Vcs-Git: git://anonscm.debian.org/pkg-exppsy/brian.git -b debian
Package: python-brian
Architecture: all
Depends: ${python:Depends}, ${misc:Depends}, python-brian-lib (>= ${source:Version}),
python-matplotlib (>= 0.90.1),
python-numpy (>= 1.3.0),
python-scipy (>= 0.7.0)
Recommends:
python-sympy
Suggests:
python-brian-doc,
python-nose,
python-cherrypy
Description: 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: python-brian-lib
Architecture: any
Depends: ${python:Depends}, ${shlibs:Depends}, ${misc:Depends}
Description: simulator for spiking neural networks -- extensions
Brian is a clock-driven simulator for spiking neural networks.
.
This package provides Python binary extensions.
Package: python-brian-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}, libjs-jquery
Suggests: python-brian
Description: 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
demos.