The analysis of multichannel recordings such as electroencephalography (EEG) and
magnetoencephalography (MEG) is important both for basic brain research and for medical …

Ecohydrological systems may be characterized as nonlinear, complex, open dissipative
systems. Such systems consist of many coupled processes, and the couplings change …

Phase synchronization is an important mechanism for the information processing of neurons
in the brain. Most of the current phase synchronization measures are bivariate and focus on …

The purpose of the present paper is to develop a method, based on equal-time correlation,
correlation matrix analysis and surrogate resampling, that is able to quantify and describe …

During the past eight years since the publication of the third edition—a three-volume set—of
The Biomedical Engineering Handbook, the eld of biomedical engineering has continued to …

Sudden unexpected death in epilepsy (SUDEP) is the leading cause of epilepsy-related
mortality and its pathophysiological mechanisms remain unknown. Goal: We set to record …

Phase synchrony has been used to investigate the dynamics of subsystems that make up a
complex system. Current measures of phase synchrony are mostly bivariate focusing on the …

Multivariate data can be encountered in many fields of science or engineering. Any
experiment or measurement with several quantities simultaneously recorded delivers …

Motivation: Synchronized bursting behavior is a remarkable phenomenon in neural
dynamics. So, identification of the underlying functional structure is crucial to understand its …

In this paper we present an approach to analyze the direction of information flow between
time series involving bidirectional relations. The intuitive idea comes from a first study …