Numerics for stochastic neural mass models

Beschreibung

Neural mass models provide a useful framework for modelling mesoscopic neural dynamics. We briefly introduce a generalized form of neural mass models, which turn out to be stochastic functional differential equations (SFDEs) with distributed memory terms. We solve these equations numerically with a Theta-Maruyama scheme.

Zeitraum	24 Sep. 2014
Ereignistitel	3rd Austrian Stochastics Days
Veranstaltungstyp	Konferenz
Ort	ÖsterreichAuf Karte anzeigen