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Updated: May 21, 2026

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
Statistics of spike trains in conductance-based neural networks: Rigorous results
1NeuroMathComp, INRIA, 2004 Route des Lucioles, 06902, Sophia-Antipolis, France. bruno.cessac@inria.fr.
Journal of Mathematical Neuroscience
|June 5, 2012
Abstract:
We consider a conductance-based neural network inspired by the generalized Integrate and Fire model introduced by Rudolph and Destexhe in 1996. We show the existence and uniqueness of a unique Gibbs distribution characterizing spike train statistics. The corresponding Gibbs potential is explicitly computed. These results hold in the presence of a time-dependent stimulus and apply therefore to non-stationary dynamics.

