Modelling with the stochastic neural field equation

Description

Neural field equations provide a useful framework for modeling macroscopic neural dynamics on the cortex involving a spatially distributed population of neurons (e.g. the deterministic neural field equation). This type of equation may serve (and is applied in the neuroscience literature) as underlying models to interpret electroencephalography and magnetoencephalography data in certain cases. In this talk we will present some background on the modeling assumptions and possible extensions to stochastic versions of the dNFE. The aim of our work will be to establish a framework of nonlinear filtering in order to estimate the state process from EEG data. First steps in this direction are proposed here.

Period	04 Mar 2014
Event title	11th German Probability and Statistics Days 2014 - Ulmer Stochastik-Tage
Event type	Conference
Location	Ulm, GermanyShow on map