activity
20022020
most citedSynergy and redundancy in the Granger causal analysis of dynamical networks

94 citations · 354 across the 26 of their papers we have counts for

collaborators

26 papers

q-bio.NC2020

Small variation in dynamic functional connectivity in cerebellar networks

Izaro Fernandez-Iriondo, Antonio Jimenez-Marin, Ibai Diez +4

Brain networks can be defined and explored through their connectivity. Here, we analyzed the relationship between structural connectivity (SC) across 2,514 regions that cover the e…

cond-mat.dis-nn2020

Persistence of hierarchical network organization and emergent topologies in models of functional connectivity

Ali Safari, Paolo Moretti, Ibai Diez +2

Functional networks provide a topological description of activity patterns in the brain, as they stem from the propagation of neural activity on the underlying anatomical or struct…

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.QM2015★ 1 cited

Information and long term memory in calcium signals

Ildefonso M. De la Fuente, Iker Malaina, Alberto Perez-Samartin +6

Unicellular organisms are open metabolic systems that need to process information about their external environment in order to survive. In most types of tissues and organisms, cell…

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…