lua-cnrun – 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.

Zavada, A., Buckley, C.L., Martinez, D., Rospars, J-P., Nowotny, T. (2011). Competition-based model of pheromone component ratio detection in the moth. PLoS ONE, 6, e16308. [Abstract] [DOI] [Pubmed]
Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 9.0 (stretch)   2.1.0-1~nd90+1 i386, amd64
Debian unstable (sid)   2.1.0-1~nd+1 i386, amd64
Ubuntu 16.04 “Xenial Xerus” (xenial) 1.1.14-1.1 2.1.0-1~nd16.04+1 i386, amd64
Ubuntu 18.04 “Bionic Beaver” (bionic)   2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 i386, amd64


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