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MULTIVARIABILITY AND METASTABILITY OF ELECTROMAGNETIC RESONANT STATES IN THE BRAIN AS A BASIS FOR COGNITION (2003)
BibTeX
@MISC{Fingelkurts03multivariabilityand,
author = {Er A. Fingelkurts and Andrew A. Fingelkurts},
title = {MULTIVARIABILITY AND METASTABILITY OF ELECTROMAGNETIC RESONANT STATES IN THE BRAIN AS A BASIS FOR COGNITION},
year = {2003}
}
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Abstract
The main principles of EEG/MEG piecewise stationary structure are systematized in order to form such methodological framework which accounts the main statistical properties of a spontaneous and induced EEG/MEG activity. The usage of adaptive classification of brain resonant states in the framework of outlined methodology permitted us to determine the degree to which processing of sensory stimulus and its mental image shares the same brain oscillations and the same dynamics of brain resonant states. Thinking is the operating with mental images1 which may be considered as mental (internal) stimuli. An activated mental image causes a neurophysiological event. Each neurophysiological event is accompanied by a particular resonant state2 of neuronal networks, with oscillations at different frequencies. Indeed, the cortex appears to be functionally organized as a mosaic of neuronal assemblies characterized by a large variability in dominant frequencies (Pfurtscheller & Lopes da Silva, 1999; Fingelkurts et
Keyphrases
basis cognition brain resonant state neurophysiological event eeg meg piecewise stationary structure particular resonant state2 sensory stimulus main principle main statistical property neuronal assembly large variability neuronal network adaptive classification brain oscillation outlined methodology dominant frequency methodological framework mental images1 induced eeg meg activity pfurtscheller lope da silva different frequency activated mental image mental image share
