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Information Flow Between Resting-State Networks., , , , , , , , и . Brain Connect., 5 (9): 554-564 (2015)Functional Connectivity Hubs and Thalamic Hemodynamics in Rolandic Epilepsy., , , , , и . COMPLEX NETWORKS (2), том 813 из Studies in Computational Intelligence, стр. 627-638. Springer, (2018)Intra-V1 functional networks and classification of observed stimuli., , , , , и . Frontiers Neuroinformatics, (2024)Multiscale Causal Connectivity Analysis by Canonical Correlation: Theory and Application to Epileptic Brain., , , , , и . IEEE Trans. Biomed. Eng., 58 (11): 3088-3096 (2011)HOI: A Python toolbox for high-performance estimation of Higher-Order Interactions from multivariate data., , , , , , , , и . J. Open Source Softw., 9 (103): 7360 (2024)Cognitive modelling with multilayer networks: Insights, advancements and future challenges., , , , , и . CoRR, (2022)Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress., , , , , , , , , и . Entropy, 21 (5): 526 (2019)Assessing High-Order Interdependencies Through Static O-Information Measures Computed on Resting State fMRI Intrinsic Component Networks., , , , , , и . ICIAP Workshops (1), том 13373 из Lecture Notes in Computer Science, стр. 386-397. Springer, (2022)Multiscale analysis of short term heart beat interval, arterial blood pressure, and instantaneous lung volume time series., , , , , , , и . Artif. Intell. Medicine, 41 (3): 237-250 (2007)Information flow in a network model and the law of diminishing marginal returns, , , , и . CoRR, (2012)