activity
19972020
most citedKernel method for nonlinear Granger causality

413 citations · 1.4k across the 34 of their papers we have counts for

collaborators

35 papers

q-bio.NC2020★ 12 cited

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…

cond-mat.stat-mech2019★ 24 cited

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…

q-bio.NC2016

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…

q-bio.NC2015★ 47 cited

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…

q-bio.NC2013

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…

q-bio.QM2012★ 86 cited

Expanding the Transfer Entropy to Identify Information Subgraphs in Complex Systems

S. Stramaglia, Guo-Rong Wu, M. Pellicoro +1

We propose a formal expansion of the transfer entropy to put in evidence irreducible sets of variables which provide information for the future state of each assigned target. Multi…