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A data-driven model of the generation of human EEG based on a spatially distributed stochastic wave equation
2008
Cognitive Neurodynamics
We discuss a model for the dynamics of the primary current density vector field within the grey matter of human brain. The model is based on a linear damped wave equation, driven by a stochastic term. By employing a realistically shaped average brain model and an estimate of the matrix which maps the primary currents distributed over grey matter to the electric potentials at the surface of the head, the model can be put into relation with recordings of the electroencephalogram (EEG). Through
doi:10.1007/s11571-008-9049-x
pmid:19003477
pmcid:PMC2427060
fatcat:dwlzmzy5wrd2zd637pdymysidy