134 citations · 306 across the 23 of their papers we have counts for
24 papers
Statistical Dark Matter: Synergy is everywhere but is hard to capture
Alberto Liardi, Fernando E. Rosas, Daniele Marinazzo +3
The information-theoretic construct of synergy refers to the statistical structure that is contained in three or more variables, but not in any subset of them. Here we leverage rec…
From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms
Yuri Antonacci, Chiara Barà, Laura Sparacino +3
High-order interactions are increasingly recognized as a hallmark of collective dynamics in complex systems. The relationship between high-order behaviours (HOBs), observed as syne…
Cohort-amortized personalization: navigating the privacy-utility frontier for virtual brain twins
Amirhossein Esmaeili, Marmaduke Woodman, Nina Baldy +8
Personalized generative brain models require individual neuroimaging data that privacy constraints and re-identification risk make difficult to share, while per-subject fitting pro…
Connectome brain fingerprinting: terminology, measures, and target properties
Matteo Fraschini, Matteo Demuru, Daniele Marinazzo +1
Distinguishing one person from another (what biometricians call recognition) is extremely relevant for different aspects of life. Traditional biometric modalities (fingerprint, fac…
Localizing synergies of hidden factors across complex systems: resting brain networks and HeLa gene expression profile as case studies
Marlis Ontivero-Ortega, Gorana Mijatovic, Luca Faes +2
Factor analysis is a well-known statistical method to describe the variability of observed variables in terms of a smaller number of unobserved latent variables called factors. Eve…
Cognitive networks highlight differences and similarities in the STEM mindsets of human and LLM-simulated trainees, experts and academics
Edith Haim, Lars van den Bergh, Cynthia S. Q. Siew +3
Understanding attitudes towards STEM means quantifying the cognitive and emotional ways in which individuals, and potentially large language models too, conceptualise such subjects…