While the standard network description of complex systems is based on quantifying the link
between pairs of system units, higher-order interactions (HOIs) involving three or more units …

The Partial Information Decomposition (PID) framework has emerged as a powerful tool for
analyzing high-order interdependencies in complex network systems. However, its …

Heart Rate Variability (HRV) and Blood Pressure Variability (BPV) are widely employed
tools for characterizing the complex behavior of cardiovascular dynamics. Usually, HRV and …

Recent advances in neuroscientific experimental techniques have enabled us to
simultaneously record the activity of thousands of neurons across multiple brain regions …

The framework of information dynamics allows the dissection of the information processed in
a network of multiple interacting dynamical systems into meaningful elements of …

Many complex systems in physics, biology and engineering are modeled as dynamical
networks and described using multivariate time series analysis. Recent developments have …

In this work, we extend to the multivariate case the classical correlation analysis used in the
field of network physiology to probe dynamic interactions between organ systems in the …

Goal: The network representation is becoming increasingly popular for the description of
cardiovascular interactions based on the analysis of multiple simultaneously collected …

The study of high order dependencies in complex systems has recently led to the
introduction of statistical synergy, a novel quantity corresponding to a form of emergence in …

Objective. While it is well-known that epilepsy has a clear impact on the activity of both the
central nervous system (CNS) and the autonomic nervous system (ANS), its role on the …