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Source: cnrun
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Andrei Zavada <johnhommer@gmail.com>
Section: science
Build-Depends: debhelper-compat (= 13),
autoconf-archive,
texinfo,
libgomp1,
pkgconf,
libgsl-dev | libgsl0-dev,
libxml2-dev,
liblua5.1-dev,
lua5.1
Standards-Version: 4.7.3
Vcs-Browser: https://salsa.debian.org/med-team/cnrun
Vcs-Git: https://salsa.debian.org/med-team/cnrun.git
Homepage: http://johnhommer.com/academic/code/cnrun
Package: libcnrun2
Architecture: any
Depends: ${shlibs:Depends},
${misc:Depends}
Pre-Depends: ${misc:Pre-Depends}
Description: NeuroML-capable neuronal network simulator (shared lib)
CNrun is a neuronal network simulator implemented as a Lua package.
This package contains shared libraries.
.
See lua-cnrun description for extended description.
Package: libcnrun2-dev
Architecture: any
Section: libdevel
Depends: libcnrun2 (= ${binary:Version}),
${misc:Depends}
Suggests: pkg-config
Description: NeuroML-capable neuronal network simulator (development files)
CNrun is a neuronal network simulator implemented as a Lua package.
This package contains development files.
.
See lua-cnrun description for extended description.
Package: cnrun-tools
Architecture: any
Depends: ${shlibs:Depends},
${misc:Depends}
Description: NeuroML-capable neuronal network simulator (tools)
CNrun is a neuronal network simulator implemented as a Lua package.
This package contains two standalone tools (hh-latency-estimator and
spike2sdf) that may be of interest to CNrun users.
.
See lua-cnrun description for extended description.
Package: lua-cnrun
Architecture: any
Depends: libcnrun2,
lua5.1,
${misc:Depends}
Suggests: gnuplot
Description: NeuroML-capable neuronal network simulator (Lua package)
CNrun is a neuronal network simulator, with these features:
* a conductance- and rate-based Hodgkin-Huxley neurons, a Rall and
Alpha-Beta synapses;
* a 6-5 Runge-Kutta integration method: slow but precise, adjustable;
* Poisson, Van der Pol, Colpitts oscillators and interface for
external stimulation sources;
* NeuroML network topology import/export;
* logging state variables, spikes;
* implemented as a Lua module, for scripting model behaviour (e.g.,
to enable plastic processes regulated by model state);
* interaction (topology push/pull, async connections) with other
cnrun models running elsewhere on a network, with interactions
(planned).
.
Note that there is no `cnrun' executable, which existed in cnrun-1.*.
Instead, you write a script for your simulation in Lua, and execute
it as detailed in /usr/share/lua-cnrun/examples/example1.lua.
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