Package: wnpp Severity: wishlist Owner: Andrei Zavada <firstname.lastname@example.org> * Package name : cnrun Version : 1.1.12 Upstream Author : Andrei Zavada <email@example.com> * URL : http://johnhommer.com/academic/code/cnrun * License : GPL Programming Lang: C++ Description : a slow but precise neural network simulator supporting NeuroML CNrun is a neuronal network model simulator, similar in purpose to NEURON except that individual neurons are not compartmentalised. It is extremely precise and slow. Neurons are modelled by Hodgkin-Huxley equations (conductance- and rate-based); available synapses are those described in Rall (1967) and Destexhe et al (1994). All neuron and synapse parameters are per-unit configurable. A 6-5-order Runge-Kutta integration method is used to compute state variables with arbitrary time resolution. CNrun can import/merge network topology from a NeuroML files, or create one using a simple scripting language. Simulation progress can be saved, per unit, to separate csv files for analysis; for visualisation, state variables can be saved in native double format (for faster plotting with gnuplot).
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