output
20132025
most citedSynergy and redundancy in the Granger causal analysis of dynamical networks

94 citations

11 papers

q-bio.NC2025

Intrinsic Resonance depends on Network Size of Coupled-Delayed Interacting Oscillators

Felipe A. Torres, Alejandro Weinstein, Jesus M. Cortes +1

The collective frequency that emerges from synchronized neuronal populations--the network resonance--shows a systematic relationship with brain size: whole-brain's large networks o…

physics.data-an2024★ 9 cited

Assessing high-order effects in feature importance via predictability decomposition

Marlis Ontivero-Ortega, Luca Faes, Jesus M Cortes +2

Leveraging the large body of work devoted in recent years to describe redundancy and synergy in multivariate interactions among random variables, we propose a novel approach to qua…

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.NC2016★ 23 cited

Lagged and instantaneous dynamical influences related to brain structural connectivity

C. Alonso-Montes, I. Diez, L. Remaki +6

Contemporary neuroimaging methods can shed light on the basis of human neural and cognitive specializations, with important implications for neuroscience and medicine. Different MR…

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…

cs.IT2015★ 45 cited

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…

q-bio.NC2014★ 30 cited

A novel brain partition highlights the modular skeleton shared by structure and function

Ibai Diez, Paolo Bonifazi, Iñaki Escudero +4

Elucidating the intricate relationship between brain structure and function, both in healthy and pathological conditions, is a key challenge for modern neuroscience. Recent technic…

q-bio.NC2014

Identification of redundant and synergetic circuits in triplets of electrophysiological data

Asier Erramuzpe, Guillermo J. Ortega, Jesus Pastor +4

Neural systems are comprised of interacting units, and relevant information regarding their function or malfunction can be inferred by analyzing the statistical dependencies betwee…

q-bio.QM2014★ 94 cited

Synergy and redundancy in the Granger causal analysis of dynamical networks

Sebastiano Stramaglia, Jesus M. Cortes, Daniele Marinazzo

We analyze by means of Granger causality the effect of synergy and redundancy in the inference (from time series data) of the information flow between subsystems of a complex netwo…

q-bio.NC2013★ 2 cited

Disruption of transfer entropy and inter-hemispheric brain functional connectivity in patients with disorder of consciousness

Verónica Mäki-Marttunen, Ibai Diez, Jesus M. Cortes +2

Severe traumatic brain injury can lead to disorders of consciousness (DOC) characterized by deficit in conscious awareness and cognitive impairment including coma, vegetative state…

q-bio.NC2013★ 59 cited

Short-term synaptic plasticity in the deterministic Tsodyks-Markram model leads to unpredictable network dynamics

Jesus M Cortes, Mathieu Desroches, Serafim Rodrigues +3

Short-Term Synaptic Plasticity (STSP) strongly affects the neural dynamics of cortical networks. The Tsodyks and Markram (TM) model for STSP accurately accounts for a wide range of…