Results 21 to 30 of about 1,008,804 (161)
Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics
Entropy, 2015 In the framework of information dynamics, the temporal evolution of coupled systems can be studied by decomposing the predictive information about an assigned target system into amounts quantifying the information stored inside the system and the ...
Luca Faes +2 more
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IEEE Access, 2021 Many complex systems in physics, biology and engineering are modeled as dynamical networks and described using multivariate time series analysis. Recent developments have shown that the emergent dynamics of a network system are significantly affected by ...
Yuri Antonacci +7 more
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Information dynamics of brain–heart physiological networks during sleep
New Journal of Physics, 2014 This study proposes an integrated approach, framed in the emerging fields of network physiology and information dynamics, for the quantitative analysis of brain–heart interaction networks during sleep. With this approach, the time series of cardiac vagal
L Faes, G Nollo, F Jurysta, D Marinazzo
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Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes
Entropy, 2017 Exploiting the theory of state space models, we derive the exact expressions of the information transfer, as well as redundant and synergistic transfer, for coupled Gaussian processes observed at multiple temporal scales.
Luca Faes +2 more
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Learning and Consolidation as Re-representation: Revising the Meaning of Memory
Frontiers in Psychology, 2019 In this Hypothesis and Theory paper, we consider the problem of learning deeply structured knowledge representations in the absence of predefined ontologies, and in the context of long-term learning.
Geraint A. Wiggins +2 more
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Frontiers in Network Physiology, 2023 Network Physiology is a rapidly growing field of study that aims to understand how physiological systems interact to maintain health. Within the information theory framework the information storage (IS) allows to measure the regularity and predictability
Yuri Antonacci +6 more
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Overlapping Community Detection Based on Information Dynamics
IEEE Access, 2018 Identifying overlapping communities is essential for analyzing network structures, exploring the interactions of groups, studying network functions, and obtaining insight into the dynamics of networks.
Zejun Sun +4 more
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Characterizing Topics in Social Media Using Dynamics of Conversation
Entropy, 2021 Online social media provides massive open-ended platforms for users of a wide variety of backgrounds, interests, and beliefs to interact and debate, facilitating countless discussions across a myriad of subjects. With numerous unique voices being lent to
James Flamino +3 more
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Moving Frames of Reference, Relativity and Invariance in Transfer Entropy and Information Dynamics
Entropy, 2013 We present a new interpretation of a local framework for informationdynamics, including the transfer entropy, by defining a moving frame of reference for theobserver of dynamics in lattice systems. This formulation is inspired by the idea ofinvestigating
Joseph T. Lizier, John R. Mahoney
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Entropy, 2020 The framework of information dynamics allows the dissection of the information processed in a network of multiple interacting dynamical systems into meaningful elements of computation that quantify the information generated in a target system, stored in ...
Yuri Antonacci +3 more
doaj +1 more source