INDEPENDENT COMPONENT ANALYSIS OF EEG RECORDED DURING TWO-PERSON GAME PLAYING

Authors:
A. Flexer;S. Makeig
Affiliations:
Institute of Medical Cybernetics and Artificial Intelligence, Center for Brain Research, Medical University of Vienna, Vienna, Austria;Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, California, USA
Venue:
Applied Artificial Intelligence
Year:
2007

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Abstract

We report a study on two-person game playing involving simultaneous EEG recording from both subjects. Independent component analysis is used to identify activities of individual cortical EEG sources. Activity of a midline fronto-central component is identified in four of five subjects. This component accounts for the P300 waveform whose amplitude varies, depending on the success in the gaming situation.