WSEAS Transactions on Biology and Biomedicine
Print ISSN: 1109-9518, E-ISSN: 2224-2902
Volume 11, 2014
Coupled Oscillators Energy Exchange Model Applied for the EEG Spectral Modeling and Forecasting
Authors: ,
Abstract: This research is driven by the need to find a valid approach for the most difficult problems remaining in the neuroscience – the explanation of the dynamic relationships between different brain regions and the explanation of the partial coherence of EEG signals. In this regard, our paper advocates for the field-theoretical approach, which is able to link experimentally observed human brain local EEG signal dynamics with the proposed coupled oscillator energy exchange model (COEEM). The reasoning behind the proposed COEEM model application is based on an energy exchange and synchronization simulation in a localized brain area using (i) the coupled oscillators approach, (ii) a novel coupled oscillators’ phase-locking mechanism (PLM) and (iii) a unique and very narrow spectral band prognostication and superposition method. Based on the promising forecasting results obtained for the real EEG signals, we infer that the oscillatory model presented here is potentially able to explain the dynamic relationships between different brain regions and the explanation of the partial coherence of EEG signals.
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Pages: 174-182
WSEAS Transactions on Biology and Biomedicine, ISSN / E-ISSN: 1109-9518 / 2224-2902, Volume 11, 2014, Art. #23