Mario Pellicoro

发表

Nonlinear parametric model for Granger causality of time series

Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia, 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

Synergistic information in a dynamical model implemented on the human structural connectome reveals spatially distinct associations with age

Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia, 2020, Network Neuroscience.

Causal Information Approach to Partial Conditioning in Multivariate Data Sets

Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia, 2011, Comput. Math. Methods Medicine.

Semi-supervised learning by search of optimal target vector

Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia, 2008, Pattern Recognit. Lett..

Expanding the transfer entropy to identify information subgraphs in complex systems

Guorong Wu, Daniele Marinazzo, Mario Pellicoro, 2012, EMBC.

Consensus clustering approach to group brain connectivity matrices

Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia, 2016, Network Neuroscience.

Effective connectivity and cortical information flow under visual stimulation in migraine with aura

Roberto Bellotti, Daniele Marinazzo, Mario Pellicoro, 2013, 5th IEEE International Workshop on Advances in Sensors and Interfaces IWASI.

Kernel method for nonlinear granger causality.

Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia, 2007, Physical review letters.

Information flow in a network model and the law of diminishing marginal returns pdf

Guorong Wu, Daniele Marinazzo, Mario Pellicoro, 2012, ArXiv.

Multiscale analysis of short term heart beat interval, arterial blood pressure, and instantaneous lung volume time series

Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia, 2007, Artif. Intell. Medicine.

Information Flow in Networks and the Law of Diminishing Marginal Returns: Evidence from Modeling and Human Electroencephalographic Recordings

Guorong Wu, Daniele Marinazzo, Mario Pellicoro, 2012, PloS one.

Nonlinear parametric granger causality in dynamical networks

Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia, 2014 .

Causality and communities in neural networks

Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia, 2007, ESANN.

Expanding the transfer entropy to identify information subgraphs in complex systems

Guorong Wu, Daniele Marinazzo, Mario Pellicoro, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Identification of Informative Subgraphs in Complex Systems

Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia, 2012 .

Steady-state visual evoked potentials in the low frequency range in migraine: a study of habituation and variability phenomena.

Mario Pellicoro, Sebastiano Stramaglia, Marina de Tommaso, 2003, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

Visually evoked phase synchronization changes of alpha rhythm in migraine: correlations with clinical features.

Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia, 2005, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

Phase ordering in chaotic map lattices with additive noise

Mario Pellicoro, Sebastiano Stramaglia, Leonardo Angelini, 2001 .

Kernel method for clustering based on optimal target vector

Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia, 2005, cond-mat/0511630.