Ghent University Academic Bibliography

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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).
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- A2
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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 granger causality

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

(2017) PHYSICAL REVIEW E. 96(4).

Academic Bibliography

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

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

Multiscale granger causality

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