Modelling with the stochastic neural field equation
Sprache des Vortragstitels:
2nd Austrian Stochastics Day
Sprache des Tagungstitel:
Neural field equations provide a useful framework for modelling macroscopic neural dynamics on the cortex involving a spatially distributed population of neurons.
The neural field equation may serve (and is applied in the neuroscience literature) as underlying models to interpret electroencephalography (EEG) and magnetoencephalography (MEG) data in certain cases.
In this talk some background on the modelling assumptions and possible extensions to stochastic versions of the dNFE are presented. The aim 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.