Modelling with the stochastic neural field equation
Sprache des Vortragstitels:
11th German Probability and Statistics Days
Sprache des Tagungstitel:
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.