In the field of epilepsy, the analysis of stereoelectroencephalographic (SEEG, intra-cerebral
recording) signals with signal processing methods can help to better identify the
epileptogenic zone, the area of the brain responsible for triggering seizures, and to better
understand its organization. In order to evaluate these methods and to physiologically
interpret the results they provide, we developed a model able to produce EEG signals from
“organized” networks of neural populations. Starting from a neurophysiologically relevant …