sebastiano stramaglia

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	전체	2020년 이후
서지정보	5640	2637
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Daniele MarinazzoProfessor of Neuroimaging Data Analysis, Ghent University, email [email protected]ugent.be의 이메일 확인됨
Jesus CortesFull Professor at Ikerbasque. Bio-Bizkaia Health Research Institute. Cruces University Hospitalosakidetza.eus의 이메일 확인됨
Luca FaesProfessor of Biomedical Engineering, Department of Engineering, University of Palermounipa.it의 이메일 확인됨
marina de tommasoUniversity of Bari SMBNOS departmentuniba.it의 이메일 확인됨
Guo-Rong WuFaculty of Psychology, Southwest Universityswu.edu.cn의 이메일 확인됨
Paolo BonifaziBiocruces health research instituteosakidetza.eus의 이메일 확인됨
Nicola AnconaResearcher, Institute of Intelligent Systems for Automation, National Research Councilba.issia.cnr.it의 이메일 확인됨
roberto bellottiUniversità degli Studi di Bari Aldo Moro - Italyba.infn.it의 이메일 확인됨
guido pasquarielloCNRcnr.it의 이메일 확인됨
Stephan SwinnenKU Leuven, Professor of motor control and motor neuroscience, Movement Control and Neuroplasticitykuleuven.be의 이메일 확인됨
Huafu ChenUniversity of Electronic Science and Technology of Chinauestc.edu.cn의 이메일 확인됨
gian domenico pinnaBiomedical Engineer, S. Maugeri Foundation, IRCCSfsm.it의 이메일 확인됨
roberto maestriBiomedical Engineer, Istituti Clinici Scientifici Maugeri, SpA, SB, Scientific Institute oficsmaugeri.it의 이메일 확인됨
Alberto ReficeResearcher, CNRcnr.it의 이메일 확인됨
Giuseppe SatalinoResearcher, CNR-IREAcnr.it의 이메일 확인됨
Gianluca LattanziUniversity of Trentounitn.it의 이메일 확인됨
Filippo BrighinaProfessore Associato di Neurologia, Università di Palermounipa.it의 이메일 확인됨
Giovanni NicoIstituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricercheba.iac.cnr.it의 이메일 확인됨
Plamen Ch. IvanovBoston University, Harvard Medical School, ISSP, Bulgarian Academy of Sciencesbuphy.bu.edu의 이메일 확인됨
Stefano BoccalettiDirector of Research - CNR- Institute for Complex Systemsfi.isc.cnr.it의 이메일 확인됨

팔로우

sebastiano stramaglia

Full Professor in Applied Physics, University of Bari, Italy

ba.infn.it의 이메일 확인됨

complex systems data analysis network neuroscience network physiology


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Kernel method for nonlinear Granger causality D Marinazzo, M Pellicoro, S Stramaglia Physical review letters 100 (14), 144103, 2008	451	2008
Altered processing of sensory stimuli in patients with migraine M De Tommaso, A Ambrosini, F Brighina, G Coppola, A Perrotta, F Pierelli, ... Nature Reviews Neurology 10 (3), 144-155, 2014	343	2014
Radial basis function approach to nonlinear Granger causality of time series N Ancona, D Marinazzo, S Stramaglia Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 70 (5 …, 2004	312	2004
A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data GR Wu, W Liao, S Stramaglia, JR Ding, H Chen, D Marinazzo Medical image analysis 17 (3), 365-374, 2013	310	2013
Nonlinear connectivity by Granger causality D Marinazzo, W Liao, H Chen, S Stramaglia Neuroimage 58 (2), 330-338, 2011	228	2011
Kernel-Granger causality and the analysis of dynamical networks D Marinazzo, M Pellicoro, S Stramaglia Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 77 (5 …, 2008	227	2008
Steady-state visual evoked potentials and phase synchronization in migraine patients L Angelini, MD Tommaso, M Guido, K Hu, PC Ivanov, D Marinazzo, ... Physical review letters 93 (3), 038103, 2004	136	2004
A novel brain partition highlights the modular skeleton shared by structure and function I Diez, P Bonifazi, I Escudero, B Mateos, MA Muñoz, S Stramaglia, ... Scientific reports 5 (1), 10532, 2015	134	2015
Synergy and redundancy in the Granger causal analysis of dynamical networks S Stramaglia, JM Cortes, D Marinazzo New Journal of Physics 16 (10), 105003, 2014	110	2014
Information transfer and criticality in the Ising model on the human connectome D Marinazzo, M Pellicoro, G Wu, L Angelini, JM Cortés, S Stramaglia PloS one 9 (4), e93616, 2014	104	2014
Nonlinear parametric model for Granger causality of time series D Marinazzo, M Pellicoro, S Stramaglia Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 73 (6 …, 2006	98	2006
Multiscale information decomposition: Exact computation for multivariate Gaussian processes L Faes, D Marinazzo, S Stramaglia Entropy 19 (8), 408, 2017	95	2017
Expanding the transfer entropy to identify information circuits in complex systems S Stramaglia, GR Wu, M Pellicoro, D Marinazzo Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 86 (6 …, 2012	88	2012
Multiscale analysis of short term heart beat interval, arterial blood pressure, and instantaneous lung volume time series L Angelini, R Maestri, D Marinazzo, L Nitti, M Pellicoro, GD Pinna, ... Artificial intelligence in medicine 41 (3), 237-250, 2007	84	2007
Causal information approach to partial conditioning in multivariate data sets D Marinazzo, M Pellicoro, S Stramaglia Computational and mathematical methods in medicine 2012 (1), 303601, 2012	83	2012
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality A Montalto, S Stramaglia, L Faes, G Tessitore, R Prevete, D Marinazzo Neural networks 71, 159-171, 2015	81	2015
Clustering data by inhomogeneous chaotic map lattices L Angelini, F De Carlo, C Marangi, M Pellicoro, S Stramaglia Physical Review Letters 85 (3), 554, 2000	81	2000
Multiscale granger causality L Faes, G Nollo, S Stramaglia, D Marinazzo Physical Review E 96 (4), 042150, 2017	78	2017
Identification of network modules by optimization of ratio association L Angelini, S Boccaletti, D Marinazzo, M Pellicoro, S Stramaglia Chaos: An Interdisciplinary Journal of Nonlinear Science 17 (2), 2007	78	2007
Disentangling high-order mechanisms and high-order behaviours in complex systems FE Rosas, PAM Mediano, AI Luppi, TF Varley, JT Lizier, S Stramaglia, ... Nature Physics 18 (5), 476-477, 2022	75	2022

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