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2025	Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network IEEE Transactions on Biomedical Engineering Yuri Antonacci, Chiara Barà, Laura Sparacino, Ileana Pirovano, Alfonso Mastropietro, Giovanna Rizzo, Luca Faes
2025	Multivariate linear time-series modeling and prediction of cerebral physiologic signals: review of statistical models and implications for human signal analytics Frontiers in Network Physiology Nuray Vakitbilir, Amanjyot Singh Sainbhi, Abrar Islam, Alwyn Gomez, Kevin Yuwa Stein, Logan Froese, Tobias Bergmann, Davis McClarty, Rahul Raj, Frederick Adam Zeiler
2025	How do the resting EEG preprocessing states affect the outcomes of postprocessing? NeuroImage Shiang Hu, Jie Ruan, Pedro Antonio Valdes-Sosa, Zhao Lv
2025	Methods in Molecular Biology Marco Paoli, Albrecht Haase
2025	Stationary and Sparse Denoising Approach for Corticomuscular Causality Estimation IEEE Transactions on Biomedical Engineering Farwa Abbas, Verity McClelland, Zoran Cvetkovic, Wei Dai
2025	Causality‐Inspired Neural Network for the Identification of Schizophrenia International Journal of Imaging Systems and Technology Shayel Parvez Shams, Saqib Mamoon, Zhengwang Xia, Jianfeng Lu
2025	Whole-body networks: a holistic approach for studying aging GeroScience Orestis Stylianou, Johannes M. Meixner, Tilman Schlick, Colin M. Krüger
2025	Exploring transient neurophysiological states through local and time-varying measures of information dynamics Applied Mathematics and Computation Yuri Antonacci, Chiara Barà, Giulio de Felice, Antonino Sferlazza, Riccardo Pernice, Luca Faes
2024	High-Dimensional MVAR Model Identification Based on Structured Sparsity Penalization IEEE Signal Processing Letters Z. Fang, L. Albera, A. Kachenoura, H. Shu, Y. Kang, R. Le Bouquin Jeannès
2024	2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON) Yuri Antonacci, Laura Sparacino, Valeria R. Vergara, Gorana Mijatovic, Riccardo Pernice, Luca Faes
2024	Robust Model-Free Identification of the Causal Networks Underlying Complex Nonlinear Systems Entropy Guanxue Yang, Shimin Lei, Guanxiao Yang
2024	Measuring Connectivity in Linear Multivariate Processes With Penalized Regression Techniques IEEE Access Yuri Antonacci, Jlenia Toppi, Antonio Pietrabissa, Alessandra Anzolin, Laura Astolfi
2023	Assessment of Cognitive Behavioral Characteristics in Intelligent Systems with Predictive Ability and Computing Power Philosophies Oleg V. Kubryak, Sergey V. Kovalchuk, Nadezhda G. Bagdasaryan
2023	Robust Bayesian Estimation of EEG-Based Brain Causality Networks IEEE Transactions on Biomedical Engineering Ke Liu, Qin Lai, Peiyang Li, Zhuliang Yu, Bin Xiao, Cuntai Guan, Wei Wu
2023	High-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors NeuroImage Alliot Nagle, Josh P. Gerrelts, Bryan M. Krause, Aaron D. Boes, Joel E. Bruss, Kirill V. Nourski, Matthew I. Banks, Barry Van Veen
2023	Time-varying information measures: an adaptive estimation of information storage with application to brain-heart interactions Frontiers in Network Physiology Yuri Antonacci, Chiara Barà, Andrea Zaccaro, Francesca Ferri, Riccardo Pernice, Luca Faes
2023	A Network approach to find poor orthostatic tolerance by simple tilt maneuvers Frontiers in Network Physiology John M. Karemaker
2023	Integrated laboratory classes to learn physiology in a psychology degree: impact on student learning and experience Frontiers in Psychology Judit Sánchez, Beatriz Navarro-Galve, Marta Lesmes, Margarita Rubio, Beatriz Gal
2022	Lecture Notes in Computer Science Kai-Cheng Chuang, Sreekrishna Ramakrishnapillai, Lydia Bazzano, Owen Carmichael
2022	Multivariate autoregressive model estimation for high-dimensional intracranial electrophysiological data NeuroImage Christopher M. Endemann, Bryan M. Krause, Kirill V. Nourski, Matthew I. Banks, Barry Van Veen
2021	Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition IEEE Access Yuri Antonacci, Ludovico Minati, Davide Nuzzi, Gorana Mijatovic, Riccardo Pernice, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
2021	Optimal architecture for artificial neural networks as pressure estimator RBRH Rui Gabriel Modesto de Souza, Bruno Melo Brentan, Gustavo Meirelles Lima
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