Ghent University Academic Bibliography

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Your filters: cql: author="Faes, Luca" or (type any "bookEditor journalEditor issueEditor" and editor="Faes, Luca")

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Gradients of O-information : low-order descriptors of high-order dependencies

Tomas Scagliarini, Davide Nuzzi, Yuri Antonacci, Luca Faes, Fernando E. Rosas, Daniele Marinazzo (UGent) and Sebastiano Stramaglia

(2023) PHYSICAL REVIEW RESEARCH. 5(1).
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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
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Extending the spectral decomposition of Granger causality to include instantaneous influences : application to the control mechanisms of heart rate variability

D. Nuzzi, S. Stramaglia, M. Javorka, Daniele Marinazzo (UGent) , A. Porta and Luca Faes

(2021) PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES. 379(2212).
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Multivariate correlation measures reveal structure and strength of brain–body physiological networks at rest and during mental stress

Riccardo Pernice, Yuri Antonacci, Matteo Zanetti, Alessandro Busacca, Daniele Marinazzo (UGent) , Luca Faes and Giandomenico Nollo

(2021) FRONTIERS IN NEUROSCIENCE. 14.
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Measuring high-order interactions in rhythmic processes through multivariate spectral information decomposition

Yuri Antonacci, Ludovico Minati, Davide Nuzzi, Gorana Mijatovic, Riccardo Pernice, Daniele Marinazzo (UGent) , Sebastiano Stramaglia and Luca Faes

(2021) IEEE ACCESS. 9. p.149486-149505
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Synergistic information transfer in the global system of financial markets

Tomas Scagliarini, Luca Faes, Daniele Marinazzo (UGent) , Sebastiano Stramaglia and Rosario N. Mantegna

(2020) ENTROPY. 22(9).
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Information decomposition of multichannel EMG to map functional interactions in the distributed motor system

Tjeerd W. Boonstra, Luca Faes, Jennifer N. Kerkman and Daniele Marinazzo (UGent)

(2019) NEUROIMAGE.
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Critical comments on EEG sensor space dynamical connectivity analysis

Frederik Van de Steen (UGent) , Luca Faes, Esin Karahan, Jitkomut Songsiri, Pedro Antonio Valdés Sosa and Daniele Marinazzo (UGent)

(2019) BRAIN TOPOGRAPHY. 32(4). p.643-654
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Multiscale information decomposition dissects control mechanisms of heart rate variability at rest and during physiological stress

Jana Krohova, Luca Faes, Barbora Czippelova, Zuzana Turianikova, Nikoleta Mazgutova, Riccardo Pernice, Alessandro Busacca, Daniele Marinazzo (UGent) , Sebastiano Stramaglia and Michal Javorka

(2019) ENTROPY. 21(5).
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Multiscale information decomposition : exact computation for multivariate gaussian processes

Luca Faes, Daniele Marinazzo (UGent) and Sebastiano Stramaglia

(2017) ENTROPY. 19(8).

Academic Bibliography

Gradients of O-information : low-order descriptors of high-order dependencies

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

Extending the spectral decomposition of Granger causality to include instantaneous influences : application to the control mechanisms of heart rate variability

Multivariate correlation measures reveal structure and strength of brain–body physiological networks at rest and during mental stress

Measuring high-order interactions in rhythmic processes through multivariate spectral information decomposition

Synergistic information transfer in the global system of financial markets

Information decomposition of multichannel EMG to map functional interactions in the distributed motor system

Critical comments on EEG sensor space dynamical connectivity analysis

Multiscale information decomposition dissects control mechanisms of heart rate variability at rest and during physiological stress

Multiscale information decomposition : exact computation for multivariate gaussian processes

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