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²Dipartimento di Ingegneria, Università di Palermo, 90128 Palermo, Italy
³Biocruces-Bizkaia Health Research Institute, Barakaldo, Spain
⁴Biomedical Research Doctorate Program, University of the Basque Country, Leioa, Spain
⁵Department of Cell Biology and Histology, University of the Basque Country, Leioa, Spain
⁶IKERBASQUE Basque Foundation for Science, Bilbao, Spain
⁷Department of Data Analysis, Ghent University, Ghent, Belgium

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Articles Citing

Disentangling high-order effects in the transfer entropy

Cross-height causal dependence of horizontal wind components in offshore environment: insights from transfer entropy analysis

Characterizing multilevel wind interactions via transfer entropy analysis: Evidence from vertical and horizontal components

Direct causality measures unravel complex networks of cardiovascular dynamics and their modifications with postural stress

Transfer entropy characterization of causal relations in heat transport near equilibrium

Building causation links in stochastic nonlinear systems from data

Revealing the configuration of triplewise couplings of time series extracted from physiological rhythms

Decomposed Transfer Entropy for EEG Brain Networks: Parkinson’s Disease and Dopaminergic Modulation

Quantifying coupling and causality in dynamic bivariate systems: a unified framework for time-domain, spectral, and information-theoretic analysis

Information-theoretic quantification of high-order feature effects in classification problems

Finding connections between three interacting biological oscillators using phase dynamics modeling

No title available

No title available

Non‐invasive assessment of integrated cardiorespiratory network dynamics after physiological stress in humans

Takens-Based Kernel Transfer Entropy Connectivity Network for Motor Imagery Classification

Inferring effective networks of spiking neurons using a continuous-time estimator of transfer entropy

Information theory for complex systems scientists: What, why, and how

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Partial information decomposition for discrete target and continuous source random variables

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Information-Theoretic Sequential Framework to Elicit Dynamic High-Order Interactions in High-Dimensional Network Processes

A method for the time-frequency analysis of high-order interactions in non-stationary physiological networks

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