Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition-Reference-Cited by-同舟云学术

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Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Faes Luca¹,Mijatovic Gorana²,Sparacino Laura¹,Antonacci Yuri¹,Marinazzo Daniele³,Stramaglia Sebastiano⁴

Affiliation:

1. University of Palermo,Department of Engineering,Palermo,Italy

2. University of Novi Sad,Faculty of Technical Sciences,Serbia

3. University of Ghent,Dept. of Data Analysis,Belgium

4. University of Bari Aldo Moro, and INFN,Dept. of Physics,Sezione di Bari,Italy

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340690.pdf?arnumber=10340690

Reference14 articles.

1. The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological Challenges

2. Networks beyond pairwise interactions: Structure and dynamics

3. Quantifying high-order interdependencies via multivariate extensions of the mutual information

4. Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics

5. Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks

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