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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 15, 2008
Mutual nonlinear prediction as a tool to evaluate coupling strength and directionality in bivariate time series: comparison among different strategies based on k nearest neighborsLuca Faes, Alberto Porta, Giandomenico Nollo
IEEE Transactions on Bio-Medical Engineering|February 24, 2010
Testing frequency-domain causality in multivariate time seriesLuca Faes, Alberto Porta, Giandomenico Nollo
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variabilityLuca Faes, Alberto Porta, Giandomenico Nollo
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Redundant and synergistic information transfer in cardiovascular and cardiorespiratory variabilityLuca Faes, Alberto Porta, Giandomenico Nollo
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|March 28, 2009
Assessing causality in normal and impaired short-term cardiovascular regulation via nonlinear prediction methodsGiandomenico Nollo, Luca Faes, Renzo Antolini, et al.
IEEE Transactions on Bio-Medical Engineering|May 24, 2016
An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp ElectroencephalogramLuca Faes, Daniele Marinazzo, Giandomenico Nollo, et al.
Medical Engineering & Physics|January 11, 2011
k-Nearest neighbour local linear prediction of scalp EEG activity during intermittent photic stimulationSilvia Erla, Luca Faes, Enzo Tranquillini, 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.
American Journal of Physiology. Heart and Circulatory Physiology|December 18, 2004
Exploring directionality in spontaneous heart period and systolic pressure variability interactions in humans: implications in the evaluation of baroreflex gainGiandomenico Nollo, Luca Faes, Alberto Porta, et al.
IEEE Transactions on Bio-Medical Engineering|July 14, 2004
Surrogate data analysis for assessing the significance of the coherence functionLuca Faes, Gian Domenico Pinna, Alberto Porta, et al.
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