Synchronization, a basic nonlinear phenomenon, is widely observed in diverse complex
systems studied in physical, biological and other natural sciences, as well as in social …

Functional magnetic resonance imaging (fMRI) is widely used to detect and delineate
regions of the brain that change their level of activation in response to specific stimuli and …

The aim of this work is to characterize quantitatively the performance of a body of techniques
in the frequency domain for the estimation of cortical connectivity from high‐resolution EEG …

We discuss some problems encountered in inference of directionality of coupling, or, in the
case of two interacting systems, in inference of causality from bivariate time series. We …

In recent years, new recording technologies have advanced such that, at high temporal and
spatial resolutions, oscillations of neuronal networks can be identified from simultaneous …

Granger causality is a statistical concept of causality that is based on prediction. According
to Granger causality, if a signal X 1" Granger-causes"(or" G-causes") a signal X 2, then past …

We propose a new integrative approach to characterize the structure of seizures in the
space, time, and frequency domains. Such characterization leads to a new technical …

The present work aims at analyzing the structure of cortical connectivity during the attempt to
move a paralyzed limb by a group of spinal cord injured (SCI) patients. Connectivity patterns …

The increase of induced gamma-band responses (iGBRs; oscillations> 30 Hz) elicited by
familiar (meaningful) objects is well established in electroencephalogram (EEG) research …

Motivation: Interaction among time series can be explored in many ways. All the approach
has the usual problem of low power and high dimensional model. Here we attempted to …