title: Cerebral information processing estimated by unpredictability of the EEG.
abstract: Processing of complex information by the brain desynchronizes neuronal cells and therefore increases the unpredictability of the EEG, rather than its amplitude or power. A model of this mechanism describes the EEG as being composed of both an unpredictable fraction and a fraction that can be predicted from the past EEG. The model realistically simulates EEG of several behavioural states and suggests a simple algorithm for the computation of EEG predictability (values between 0% and 100%). Applications in sleep analysis and event-related desynchronization demonstrated that the algorithm is more accurate and artifact-resistant than the usual (spectral) power methods.
authors.affiliation: Department of Neurology and Clinical Neurophysiology, University Hospital, Leiden, The Netherlands.
authors.forename: B
authors.initials: B
authors.lastname: Kemp
mesh_terms: D000465:Algorithms; D003344:Cortical Synchronization; D004569:Electroencephalography / Q000295:instrumentation*; D006801:Humans; D009415:Nerve Net / Q000502:physiology; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*