Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks
The continuously growing framework of information dynamics encompasses a set of tools, rooted in information theory and statistical physics, which allow to quantify different aspects of the statistical structure of multivariate processes reflecting the temporal dynamics of complex networks. Building...
Main Authors: | Luca Faes, Alberto Porta, Giandomenico Nollo, Michal Javorka |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-12-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/19/1/5 |
Similar Items
-
Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics
by: Luca Faes, et al.
Published: (2015-01-01) -
Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes
by: Luca Faes, et al.
Published: (2017-08-01) -
Paced Breathing Increases the Redundancy of Cardiorespiratory Control in Healthy Individuals and Chronic Heart Failure Patients
by: Alberto Porta, et al.
Published: (2018-12-01) -
Disentangling cardiovascular control mechanisms during head-down tilt via joint transfer entropy and self-entropy decompositions
by: Alberto ePorta, et al.
Published: (2015-10-01) -
Generalised Measures of Multivariate Information Content
by: Conor Finn, et al.
Published: (2020-02-01)