Ghent University Academic Bibliography

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Decomposing multivariate information rates in networks of random processes

Laura Sparacino, Gorana Mijatovic, Yuri Antonacci, Leonardo Ricci, Daniele Marinazzo (UGent) , Sebastiano Stramaglia and Luca Faes

(2025) PHYSICAL REVIEW E. 112(4).
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- Journal Article
- A1
- open access
Partial information rate decomposition

Luca Faes, Laura Sparacino, Gorana Mijatovic, Yuri Antonacci, Leonardo Ricci, Daniele Marinazzo (UGent) and Sebastiano Stramaglia

(2025) PHYSICAL REVIEW LETTERS. 135(18).
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- A2
- open access
Gradients of O-information highlight synergy and redundancy in physiological applications

Tomas Scagliarini, Laura Sparacino, Luca Faes, Daniele Marinazzo (UGent) and Sebastiano Stramaglia

(2024) FRONTIERS IN NETWORK PHYSIOLOGY. 3.
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- A2
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Assessing high-order links in cardiovascular and respiratory networks via static and dynamic information measures

Gorana Mijatovic, Laura Sparacino, Yuri Antonacci, Michal Javorka, Daniele Marinazzo (UGent) , Sebastiano Stramaglia and Luca Faes

(2024) IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY. 5. p.846-858
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A new framework for the time- and frequency-domain assessment of high-order interactions in networks of random processes

Luca Faes, Gorana Mijatovic, Yuri Antonacci, Riccardo Pernice, Chiara Bara, Laura Sparacino, Marco Sammartino, Alberto Porta, Daniele Marinazzo (UGent) and Sebastiano Stramaglia

(2022) IEEE TRANSACTIONS ON SIGNAL PROCESSING. 70. p.5766-5777

Academic Bibliography

Decomposing multivariate information rates in networks of random processes

Partial information rate decomposition

Gradients of O-information highlight synergy and redundancy in physiological applications

Assessing high-order links in cardiovascular and respiratory networks via static and dynamic information measures

A new framework for the time- and frequency-domain assessment of high-order interactions in networks of random processes

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