Ghent University Academic Bibliography

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Your filters: cql: author="Stramaglia, Sebastiano" or (type any "bookEditor journalEditor issueEditor" and editor="S...

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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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- Miscellaneous
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Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance

Kenzo Clauw (UGent) , Daniele Marinazzo (UGent) and Sebastiano Stramaglia

(2022)
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Quantifying high-order interdependencies on individual patterns via the local O-information : theory and applications to music analysis

Tomas Scagliarini, Daniele Marinazzo (UGent) , Yike Guo, Sebastiano Stramaglia and Fernando E. Rosas

(2022) PHYSICAL REVIEW RESEARCH. 4(1).
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An information-theoretic approach to hypergraph psychometrics

Daniele Marinazzo (UGent) , Jan van Roozendaal, Fernando E. Rosas, Massimo Stella, Renzo Comolatti, Nigel Colenbier (UGent) , Sebastiano Stramaglia and Yves Rosseel (UGent)

(2022) ArXiv.
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Disentangling high-order mechanisms and high-order behaviours in complex systems

Fernando E. Rosas, Pedro A. M. Mediano, Andrea I. Luppi, Thomas F. Varley, Joseph T. Lizier, Sebastiano Stramaglia, Henrik J. Jensen and Daniele Marinazzo (UGent)

(2022) NATURE PHYSICS. 18(5). p.476-477
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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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Beyond pairwise network similarity : exploring mediation and suppression between networks

Lucas Lacasa, Sebastiano Stramaglia and Daniele Marinazzo (UGent)

(2021) COMMUNICATIONS PHYSICS. 4.
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Quantifying dynamical high-order interdependencies from the O-information : an application to neural spiking dynamics

Sebastiano Stramaglia, Tomas Scagliarini, Bryan C. Daniels and Daniele Marinazzo (UGent)

(2021) FRONTIERS IN PHYSIOLOGY. 11.
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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).

Academic Bibliography

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

Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance

Quantifying high-order interdependencies on individual patterns via the local O-information : theory and applications to music analysis

An information-theoretic approach to hypergraph psychometrics

Disentangling high-order mechanisms and high-order behaviours in complex systems

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

Beyond pairwise network similarity : exploring mediation and suppression between networks

Quantifying dynamical high-order interdependencies from the O-information : an application to neural spiking dynamics

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

Synergistic information transfer in the global system of financial markets

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