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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
A new Frequency Domain Measure of Causality based on Partial Spectral Decomposition of Autoregressive Processes and its Application to Cardiovascular InteractionsLuca Faes, Jana Krohova, Riccardo Pernice, et al.
Chaos (Woodbury, N.Y.)|August 3, 2017
Atypical transistor-based chaotic oscillators: Design, realization, and diversityLudovico Minati, Mattia Frasca, Paweł Oświȩcimka, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Multiscale analysis of information dynamics for linear multivariate processesLuca Faes, Alessandro Montalto, Sebastiano Stramaglia, et al.
IEEE Transactions on Bio-Medical Engineering|January 29, 2003
A method for quantifying atrial fibrillation organization based on wave-morphology similarityLuca Faes, Giandomenico Nollo, Renzo Antolini, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
An identifiable model to assess frequency-domain granger causality in the presence of significant instantaneous interactionsLuca Faes, Silvia Erla, Enzo Tranquillini, et al.
IEEE Transactions on Bio-Medical Engineering|August 18, 2017
Instantaneous Transfer Entropy for the Study of Cardiovascular and Cardiorespiratory Nonstationary DynamicsGaetano Valenza, Luca Faes, Luca Citi, et al.
Frontiers in Network Physiology|January 24, 2024
Gradients of O-information highlight synergy and redundancy in physiological applicationsTomas Scagliarini, Laura Sparacino, Luca Faes, et al.
Journal of Neuroscience Methods|June 8, 2006
A neural mass model for the simulation of cortical activity estimated from high resolution EEG during cognitive or motor tasksMelissa Zavaglia, Laura Astolfi, Fabio Babiloni, et al.
Biological Cybernetics|November 23, 2006
Use of a neural mass model for the analysis of effective connectivity among cortical regions based on high resolution EEG recordingsMauro Ursino, Melissa Zavaglia, Laura Astolfi, et al.
Entropy (Basel, Switzerland)|December 8, 2020
Synergistic Information Transfer in the Global System of Financial MarketsTomas Scagliarini, Luca Faes, Daniele Marinazzo, et al.
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