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brian package

brian 2.4.2-8build1 source package in Ubuntu

Changelog

brian (2.4.2-8build1) jammy; urgency=medium

  * No-change rebuild with Python 3.10 as default version

 -- Graham Inggs <email address hidden>  Fri, 14 Jan 2022 11:25:27 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Jammy
Original maintainer:
Debian Med
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
brian_2.4.2.orig.tar.gz 1.4 MiB a95dacebe2dfb1bd3691fc39633116acddc9eab02e58c92d9e49a39e3af650b9
brian_2.4.2-8build1.debian.tar.xz 18.4 KiB 2e03c94bd255b9ee08d0179489932881a35a58310009cfe19d272a6878ac2c21
brian_2.4.2-8build1.dsc 2.4 KiB 7f31ec2898877e83a9c60b7a5192139ab317920e5c81e65ff448c64fe17cb3cf

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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