activity
20182022
most citedDisentangling high-order mechanisms and high-order behaviours in complex systems

119 citations · 171 across the 4 of their papers we have counts for

collaborators

17 papers

q-bio.NC20227 cited

Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks

Alexandra M. Proca, Fernando E. Rosas, Andrea I. Luppi +3

Striking progress has recently been made in understanding human cognition by analyzing how its neuronal underpinnings are engaged in different modes of information processing. Spec…

cs.IT2022119 cited

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,…

q-bio.NC202143 cited

Towards an extended taxonomy of information dynamics via Integrated Information Decomposition

Pedro A. M. Mediano, Fernando E. Rosas, Andrea I Luppi +4

Complex systems, from the human brain to the global economy, are made of multiple elements that interact in such ways that the behaviour of the `whole' often seems to be more than…

cs.LG2020

Learning, compression, and leakage: Minimising classification error via meta-universal compression principles

Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar

Learning and compression are driven by the common aim of identifying and exploiting statistical regularities in data, which opens the door for fertile collaboration between these a…

math.AT2020

Hyperharmonic analysis for the study of high-order information-theoretic signals

Anibal M. Medina-Mardones, Fernando E. Rosas, Sebastián E. Rodríguez +1

Network representations often cannot fully account for the structural richness of complex systems spanning multiple levels of organisation. Recently proposed high-order information…

nlin.AO2020

Causal blankets: Theory and algorithmic framework

Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl +2

We introduce a novel framework to identify perception-action loops (PALOs) directly from data based on the principles of computational mechanics. Our approach is based on the notio…