Project-NeuroMathComp:Event neural assembly Simulation

Section: Software

This is a library allowing to simulate and analyze so called "event neural assemblies". It is designed mainly as

existing simulator plug-in (e.g. MVASpike or other simulators via the NeuralEnsemble meta-simulation platform),
additional modules for computations with neural unit assembly on standard platforms (e.g. Python or the Scilab platform).

Achievements include:

spike trains statistical analysis via Gibbs distributions. They are based on the estimates of a polynomial Gibbs potential from spikes trains and subsequently the population firing rate, correlations, higher order statistics and relative entropy. They not only allow us to estimate the spikes statistics but also to compare different models, thus answering such questions about the neural code as: are correlations (or time synchrony or a given set of spike patterns,. . . ) significant with respect to rate coding.
spiking network programing for exact event's sequence restitution;
discrete neural field parameters algorithmic adjustments and time-constrained event-based network simulation reconciling clock and event based simulation methods.

It is neither a new "simulator", nor a new "platform", but a set of new routines available for such existing tools.

Event neural assembly Simulation is under CeCILL C licence

APP logiciel Enas: IDDN.FR.OO1.360008.000.S.P.2009.000.10600