Analysis of phase relationship in ECoG using Hilbert transform and information theoretic measures

We apply Hilbert transforms to the analysis of phase relationship in elecrocoticogram (ECoG) signals in order to explore a set of meaningful information theoretic measures. This analysis leads to a methodology to derive meaning from experimentally observed brain dynamics under various states induced by sensory stimuli. We explore the possibility to represent periods of habituation and learning based on instantaneous frequency signals and introducing a new set of parameters, based on the concept of pragmatic information.