Event-driven mathematical framework for noisy integrate-and-fire neuron networks: spike trains statistics via stochastic calculus, network analysis inspired by queuing theory and an event-driven simulator

Event-driven mathematical framework for noisy integrate-and-fire neuron networks: spike trains statistics via stochastic calculus, network analysis inspired by queuing theory and an event-driven simulator

Bibliographic Details
Main Authors: Touboul Jonathan, Faugeras Olivier, Rochel Olivier
Format: Article
Language:English
Published: BMC 2007-07-01
Series:BMC Neuroscience

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