Cerebral information processing estimated by unpredictability of the EEG.
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.
Kemp
B
B
Department of Neurology and Clinical Neurophysiology, University Hospital, Leiden, The Netherlands.
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*