Source: brian Maintainer: Debian Med Packaging Team Uploaders: Yaroslav Halchenko , Michael Hanke , Étienne Mollier Section: python Priority: optional Build-Depends: debhelper-compat (= 13), dh-python, cython3, flit, pybuild-plugin-pyproject, python3-dev, python3-setuptools, python3-setuptools-scm, python3-matplotlib, python3-numpy, python3-scipy, python3-sympy, python3-pytest , python3-sphinx, graphviz, texlive-latex-base, texlive-latex-extra, dvipng, pandoc, libgsl-dev , debhelper Standards-Version: 4.7.0 Vcs-Browser: https://salsa.debian.org/med-team/brian Vcs-Git: https://salsa.debian.org/med-team/brian.git Homepage: https://www.briansimulator.org/ Rules-Requires-Root: no Package: python3-brian Architecture: all Depends: ${python3:Depends}, ${misc:Depends}, python3-brian-lib (>= ${source:Version}), python3-matplotlib, python3-numpy, python3-scipy, python3-setuptools Recommends: cython3, python3-sympy Suggests: python-brian-doc, python3-pytest, python3-sphinx, python3-dev, g++, libgsl-dev, make, python3-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: python3-brian-lib Architecture: any Depends: ${python3:Depends}, ${shlibs:Depends}, ${misc:Depends} Multi-Arch: same Description: 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. Package: python-brian-doc Architecture: all Section: doc Depends: ${misc:Depends}, libjs-jquery, libjs-mathjax Suggests: python3-brian Multi-Arch: foreign Description: 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.