Sebastiano Stramaglia

Affiliations: 
Physics University of Bari, Italy 
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Nuzzi D, Pellicoro M, Angelini L, et al. (2020) Synergistic information in a dynamical model implemented on the human structural connectome reveals spatially distinct associations with age. Network Neuroscience (Cambridge, Mass.). 4: 910-924
Stramaglia S, Scagliarini T, Daniels BC, et al. (2020) Quantifying Dynamical High-Order Interdependencies From the O-Information: An Application to Neural Spiking Dynamics. Frontiers in Physiology. 11: 595736
Scagliarini T, Faes L, Marinazzo D, et al. (2020) Synergistic Information Transfer in the Global System of Financial Markets. Entropy (Basel, Switzerland). 22
Nuzzi D, Pellicoro M, Angelini L, et al. (2020) Synergistic information in a dynamical model implemented on the human structural connectome reveals spatially distinct associations with age Network Neuroscience. 4: 910-924
Krohova J, Faes L, Czippelova B, et al. (2019) Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress. Entropy (Basel, Switzerland). 21
Marinazzo D, Angelini L, Pellicoro M, et al. (2019) Synergy as a warning sign of transitions: The case of the two-dimensional Ising model. Physical Review. E. 99: 040101
Rasero J, Diez I, Cortes JM, et al. (2019) Connectome sorting by consensus clustering increases separability in group neuroimaging studies. Network Neuroscience (Cambridge, Mass.). 3: 325-343
Rasero J, Aerts H, Ontivero Ortega M, et al. (2018) Predicting functional networks from region connectivity profiles in task-based versus resting-state fMRI data. Plos One. 13: e0207385
Stramaglia S, Pellicoro M, Angelini L, et al. (2018) Ising model with conserved magnetization on the human connectome: Implications on the relation structure-function in wakefulness and anesthesia. Chaos (Woodbury, N.Y.). 27: 047407
Diez I, Drijkoningen D, Stramaglia S, et al. (2017) Enhanced prefrontal functional-structural networks to support postural control deficits after traumatic brain injury in a pediatric population. Network Neuroscience (Cambridge, Mass.). 1: 116-142
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