112 citations · 471 across the 23 of their papers we have counts for
24 papers
Synergistic information in a dynamical model implemented on the human structural connectome reveals spatially distinct associations with age
Davide Nuzzi, Mario Pellicoro, Leonardo Angelini +2
We implement the dynamical Ising model on the large scale architecture of white matter connections of healthy subjects in the age range 4-85 years, and analyze the dynamics in term…
Synergy as a warning sign of transitions: the case of the two-dimensional Ising model
Daniele Marinazzo, Leonardo Angelini, Mario Pellicoro +1
We consider the formalism of information decomposition of target effects from multi-source interactions, i.e. the problem of defining redundant and synergistic components of the in…
Consensus clustering approach to group brain connectivity matrices
Javier Rasero, Mario Pellicoro, Leonardo Angelini +3
A novel approach rooted on the notion of consensus clustering, a strategy developed for community detection in complex networks, is proposed to cope with the heterogeneity that cha…
Conserved Ising Model on the Human Connectome
Sebastiano Stramaglia, Mario Pellicoro, Leonardo Angelini +5
Dynamical models implemented on the large scale architecture of the human brain may shed light on how function arises from the underlying structure. This is the case notably for si…
Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI
Sebastiano Stramaglia, Leonardo Angelini, Guorong Wu +3
Objectives: We develop a framework for the analysis of synergy and redundancy in the pattern of information flow between subsystems of a complex network. Methods: The presence of r…
Information transfer of an Ising model on a brain network
Daniele Marinazzo, Mario Pellicoro, Guorong Wu +3
We implement the Ising model on a structural connectivity matrix describing the brain at a coarse scale. Tuning the model temperature to its critical value, i.e. at the susceptibil…