This work focused on a method, developed by Prof. Freeman group, to study spatial-temporal patterns of brain activity in ECoG. The main goal was to adapt the methodology, developed for ECoG, for it use on EEG. It is important because EEG recording is a non- invasive procedure. First a new method to study the patterns in ECoG was developed and compared with the cone fitting. The new method significantly reduces the processing time. Then it was adapted for use on EEG and tested in two databases, the first one was previously uses to study ERP and the second was continues recording of brain activity. The mean level of classification for EEG was comparable to that for ECoG, which shows that owing to the scale- free properties of brain activity, these techniques adapted from ECoG can be employed to extract useful information noninvasively from EEG. This technique can provide the foundation to investigate the cerebral dynamics or at least offer some insights that may help in devising further experimental studies

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