Ubuntu
brian package

brian 2.5.0.2-1 source package in Ubuntu

Changelog

brian (2.5.0.2-1) unstable; urgency=medium

  * Team upload.
  * New upstream version
  * Drop redundant uupdate from watch file
  * Remove sphinx_tabs extension which is not packaged

 -- Andreas Tille <email address hidden>  Sun, 16 Jan 2022 09:59:23 +0100

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
brian_2.5.0.2-1.dsc 2.5 KiB d801ec3422832a06cb24f8d7b315367eb7c54d79a35ff34a02517efab4fa8d2d
brian_2.5.0.2.orig.tar.gz 1.4 MiB 8523fd3f253be6c2a0aad9cd0be24b64481419e2972088c345eb8e074d01bcf9
brian_2.5.0.2-1.debian.tar.xz 17.7 KiB 59dfd5f79b104a8fab055f06fa2e334de8cda44772e1e93b6109ff464332c646

No changes file available.

Binary packages built by this source

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

 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).
 .
 This package provides user's manual (in HTML format), examples and
 demos.

python3-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

python3-brian-lib: simulator for spiking neural networks -- extensions

 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).
 .
 This package provides Python3 binary extensions.

python3-brian-lib-dbgsym: debug symbols for python3-brian-lib