I want to simulate EEG data for different experimental conditions, and different sampling rates (from 200 Hz up to 2 kHz). Which mathematical model is used for their simulation?
Thank you very much, Paul. I've found the paper "A review of parametric modelling techniques for EEG analysis", J. Pardey et al., DOI: 10.1016/1350-4533(95)00024-0.
Is this paper your main reference for stationary EEG simulation?
Kobayashi et al's study may perhaps help you. Detection of changes of high-frequency activity by statistical time-frequency analysis in epileptic spikes
I believe you guys are from engineering and non-medical fields, is that ?
I am intrested to know about the thetretical matematical models. Well, does it have any relation with the neurophysiology n neuroanatomy watsoever? Without that its all useless, plain graffiti ... I think we need to work together. There would be some meeting point. Any isolated, with no medical corroborates would not help the cause or service. Thx.
I am modelling EEG dynamics by a simple phase oscillator model, called Kuramoto model, because the essence of the EEG is oscillation and synchronization.
However, in the future I try to model more microscopically because the Kuramoto model can explicitly generate oscillatory dynamics, although the mechanism behind the oscillation is still be unclear.
Modeling comes on so many different levels. I believe you are referring to macroscopic modeling of EEG. Perhaps potentials on the scalp. Jansen model is pretty popular one, however, if not interested in amplitude dynamics and care only about synchrony Kuramoto model is prefect. It is parsimonious and handy to work with.