Bicoherence Analysis Of Change Blindness

Abstract

The electroencephalogram (EEG) are electric potentials which are produced by neurons inside the brain. Over the years, EEG has been proved a useful technique for understanding the neuro-physiological mechanisam of various cognitive and neurological disorders. The EEG analysis of change blindness, which is psychological phenomenon that occurs when brain is unable to notice substantial visual changes, has also been reported in literature. However these studies are based upon linear signal processing methods and therefore non-linear characteristics of EEG signals are lost. This study examines the non-linear characteristics of EEG using both auto and cross-bicoherence functions. The cross-bicoherence function reveals the non-linear relationship between signals in terms of their frequencies.