Prognostication of Human Brain EEG Signal Dynamics Using a Refined Coupled Oscillator Energy Exchange Model

Volume 12 No 4 (2014)

Darius Kezys and Darius Plikynas

DOI: 10.14704/nq.2014.12.4.779

Abstract

This article introduces the coupled oscillator energy exchange model (COEEM) which simulates experimentally observed human brain EEG signal dynamics. This model is in some ways similar to the Kuramoto model, but essentially differs in that the Kuramoto model oscillator amplitude is constant, while the COEEM model oscillator amplitude is dependent on the phase of the oscillators. The reasoning behind the COEEM model construction is based on an energy exchange and synchronization simulation in a localized brain area using (i) the coupled oscillators approach and (ii) experimental (non-filtered and filtered) EEG observations

Keywords

coupled oscillators, energy exchange model, Kuramoto model, prognostication

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