In this study is substantiated the new mathematical model of vector of
electroencephalographic signals, registered under the conditions of multiple repetitions of …

The dynamical and physiological basis of alpha band activity and 1/f β noise in the EEG are
the subject of continued speculation. Here we conjecture, on the basis of empirical data …

Understanding the brain is important in the fields of science, medicine, and engineering. A
promising approach to better understand the brain is through computing models. These …

In this work, we propose a novel phenomenological model of the EEG signal based on the
dynamics of a coupled Duffing-van der Pol oscillator network. An optimization scheme is …

The electroencephalography (EEG) reflects the averaged electrical activity of large numbers
of cortical neurons associated with different neural information processing of brain regions …

Studies on dual-task (DT) procedures in human behavior are important, as they can offer
great insight into the cognitive control system. Accordingly, a discrete-continuous auditory …

In this work, we model electroencephalography (EEG) signals as the stochastic output of a
double Duffing-van der Pol oscillator networks. We develop a novel optimization scheme to …

Coupled nonlinear oscillator models of EEG signals during resting eyes-closed and eyes-
open conditions are presented based on Duffing-van der Pol oscillator dynamics. The …

This research explores and models the dynamic response of the brain's electrical activity in
response to behavioural and pharmacological perturbation. We demonstrate that it is …

Recently, physiological signals such as eye-tracking and gesture analysis, galvanic skin
response (GSR), electrocardiograms (ECG) and electroencephalograms (EEG) have been …