GT Math-Bio Sud-Est
Kinetic description and numerical study of a network of resonate and fire neurons
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Europe/Paris
Grenoble
Grenoble
Institut Fourier salle B29, Grenoble
Retransmission à l'ENS Lyon
Description
An important feature of some neurons is their ability to display resonant-like properties. The resonate and fire (RF) model (Izhikevich, 2001) allows for a simple description of such neurons, for a meager computational cost. We will first present a mean-field description of a network of interconnected RF neurons, following the kinetic formalism.
Then a numerical approximation finite differences scheme designed to tackle the equation will be seen, having mass and positivity preservation properties. Some simulations giving validity to the mean-field approach conclude the talk.