Computational models and EEG dynamics. Contribution of neurophysiologically relevant models to the analysis of epileptic signals

For the past thirty years, various classes of computational models have been proposed and used in the study of EEG signals. The intent of the paper is to propose a brief review on these models as well as examples of results that can be expected from considered levels of modeling. This review is based on a classification of models with respect to their physiological relevance. A special emphasis is placed on neural population models for their potential use in the interpretation of epileptic EEG dynamics and transitions.