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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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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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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On the interpretability and computational reliability of frequency-domain Granger causality

Luca Faes, Sebastiano Stramaglia and Daniele Marinazzo (UGent)

(2017) F1000RESEARCH. 6.
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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).
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Multiscale granger causality

Luca Faes, Giandomenico Nollo, Sebastiano Stramaglia and Daniele Marinazzo (UGent)

(2017) PHYSICAL REVIEW E. 96(4).
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An information-theoretic framework to map the spatio-temporal dynamics of the scalp electroencephalogram

Luca Faes, Daniele Marinazzo (UGent) , Giandomenico Nollo and Alberto Porta

(2016) IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 63(12). p.2488-2496
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Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI

Sebastiano Stramaglia, Leonardo Angelini, Guorong Wu, Jesus Cortes, Luca Faes and Daniele Marinazzo (UGent)

(2016) IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 63(12). p.2518-2524

Academic Bibliography

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

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

On the interpretability and computational reliability of frequency-domain Granger causality

Multiscale information decomposition : exact computation for multivariate gaussian processes

Multiscale granger causality

An information-theoretic framework to map the spatio-temporal dynamics of the scalp electroencephalogram

Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI

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