A new framework for the time-and frequency-domain assessment of high-order interactions in networks of random processes
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 …
between pairs of system units, higher-order interactions (HOIs) involving three or more units …
Gaussian partial information decomposition: Bias correction and application to high-dimensional data
P Venkatesh, C Bennett, S Gale… - Advances in …, 2024 - proceedings.neurips.cc
Recent advances in neuroscientific experimental techniques have enabled us to
simultaneously record the activity of thousands of neurons across multiple brain regions …
simultaneously record the activity of thousands of neurons across multiple brain regions …
Feasibility of ultra-short-term analysis of heart rate and systolic arterial pressure variability at rest and during stress via time-domain and entropy-based measures
Heart Rate Variability (HRV) and Blood Pressure Variability (BPV) are widely employed
tools for characterizing the complex behavior of cardiovascular dynamics. Usually, HRV and …
tools for characterizing the complex behavior of cardiovascular dynamics. Usually, HRV and …
Multivariate correlation measures reveal structure and strength of brain–body physiological networks at rest and during mental stress
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 …
field of network physiology to probe dynamic interactions between organ systems in the …
Information transfer in linear multivariate processes assessed through penalized regression techniques: validation and application to physiological networks
The framework of information dynamics allows the dissection of the information processed in
a network of multiple interacting dynamical systems into meaningful elements of …
a network of multiple interacting dynamical systems into meaningful elements of …
Gradients of O-information highlight synergy and redundancy in physiological applications
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 …
introduction of statistical synergy, a novel quantity corresponding to a form of emergence in …
Pairwise and higher-order measures of brain-heart interactions in children with temporal lobe epilepsy
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 …
central nervous system (CNS) and the autonomic nervous system (ANS), its role on the …
Measuring high-order interactions in rhythmic processes through multivariate spectral information decomposition
Many complex systems in physics, biology and engineering are modeled as dynamical
networks and described using multivariate time series analysis. Recent developments have …
networks and described using multivariate time series analysis. Recent developments have …
Synergistic information transfer in the global system of financial markets
Uncovering dynamic information flow between stock market indices has been the topic of
several studies which exploited the notion of transfer entropy or Granger causality, its linear …
several studies which exploited the notion of transfer entropy or Granger causality, its linear …
Partial information decomposition via deficiency for multivariate gaussians
Bivariate partial information decompositions (PIDs) characterize how the information in a"
message" random variable is decomposed between two" constituent" random variables in …
message" random variable is decomposed between two" constituent" random variables in …