134 citations · 306 across the 23 of their papers we have counts for
7 papers · 1 filter
Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance
Kenzo Clauw, Sebastiano Stramaglia, Daniele Marinazzo
Quantifying which neurons are important with respect to the classification decision of a trained neural network is essential for understanding their inner workings. Previous work p…
Cognitive modelling with multilayer networks: Insights, advancements and future challenges
Massimo Stella, Salvatore Citraro, Giulio Rossetti +3
The mental lexicon is a complex cognitive system representing information about the words/concepts that one knows. Decades of psychological experiments have shown that conceptual a…
Gradients of O-information: low-order descriptors of high-order dependencies
Tomas Scagliarini, Davide Nuzzi, Yuri Antonacci +4
O-information is an information-theoretic metric that captures the overall balance between redundant and synergistic information shared by groups of three or more variables. To com…
An information-theoretic approach to hypergraph psychometrics
Daniele Marinazzo, Jan Van Roozendaal, Fernando E. Rosas +5
Psychological network approaches propose to see symptoms or questionnaire items as interconnected nodes, with links between them reflecting pairwise statistical dependencies evalua…
Disentangling high-order mechanisms and high-order behaviours in complex systems
Fernando E. Rosas, Pedro A. M. Mediano, Andrea I. Luppi +5
Battiston et al. (arXiv:2110.06023) provide a comprehensive overview of how investigations of complex systems should take into account interactions between more than two elements,…
A Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Brain and Physiological Networks
Luca Faes, Gorana Mijatovic, Yuri Antonacci +7
While the standard network description of complex systems is based on quantifying links between pairs of system units, higher-order interactions (HOIs) involving three or more unit…
WHOCARES: data-driven WHOle-brain CArdiac signal REgression from highly accelerated simultaneous multi-Slice fMRI acquisitions
Nigel Colenbier, Marco Marino, Giorgio Arcara +4
Cardiac pulsation is a physiological confound of functional magnetic resonance imaging (fMRI) time-series that introduces spurious signal fluctuations in proximity to blood vessels…