The multivariate autoregressive (MVAR) model is widely used in describing the dynamics of
nonlinear systems, in which the estimates of model parameters and underlying states can be …

Abstract Nowadays Brain Computer Interface (BCI) is one of the most important fields in
neuroscience in which machine works are controlled with the human brain. Motor imagery …

Fatigue among drivers is a significant issue in society, and according to organizational
reports, it substantially contributes to accidents. So accurate fatigue detection in drivers …

Recently, coupling between groups of neurons or different brain regions has been widely
studied to provide insights into underlying mechanisms of brain functions. To …

Brain connectivity estimation is a useful method to study brain functions and diagnose
neuroscience disorders. Effective connectivity is a subdivision of brain connectivity which …

We propose a new source connectivity method by focusing on estimating time courses of the
regions of interest (ROIs). To this aim, it is necessary to consider the strong inherent non …

Autism is a neurological and psychological disorder that typically manifests in childhood and
persists into adulthood. It is characterized by atypical social, behavioral, and communication …

Fatigue among drivers is a significant issue in modern society and has been reported by
various organizations to contribute significantly to the number of accidents. Previous studies …

We propose a method based on the ensemble Kalman filter (EnKF) together with
quantitative electroencephalogram (QEEG) coherence and power spectrum analysis for …

Human beings have a particular interest in knowing themselves and their connection with
the environment in which they live. An example of this search of knowledge will be the study …