brian 1.3.1-1 source package in Ubuntu
Changelog
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
Upload details
- Uploaded by:
- NeuroDebian Team
- Uploaded to:
- Sid
- Original maintainer:
- NeuroDebian Team
- Architectures:
- any all
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
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
- diff from 1.3.0-2 (in Ubuntu) to 1.3.1-1 (361.9 KiB)
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
demos.
- 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.