239 citations · 898 across the 33 of their papers we have counts for
6 papers · 1 filter
Quantifying Hierarchical Selection
Hardik Rajpal, Clem von Stengel, Pedro A. M. Mediano +4
At what level does selective pressure effectively act? When considering the reproductive dynamics of interacting and mutating agents, it has long been debated whether selection is…
Information decomposition reveals hidden high-order contributions to temporal irreversibility
Andrea I Luppi, Fernando E. Rosas, Gustavo Deco +2
Temporal irreversibility, often referred to as the arrow of time, is a fundamental concept in statistical mechanics. Markers of irreversibility also provide a powerful characterisa…
Quantifying synergy and redundancy in multiplex networks
Andrea I. Luppi, Eckehard Olbrich, Conor Finn +4
Understanding how different networks relate to each other is key for obtaining a greater insight into complex systems. Here, we introduce an intuitive yet powerful framework to cha…
Dynamical noise can enhance high-order statistical structure in complex systems
Patricio Orio, Pedro A. M. Mediano, Fernando E. Rosas
Recent research has provided a wealth of evidence highlighting the pivotal role of high-order interdependencies in supporting the information-processing capabilities of distributed…
Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics
Fernando E. Rosas, Diego Candia-Rivera, Andrea I Luppi +2
Recent research is revealing how cognitive processes are supported by a complex interplay between the brain and the rest of the body, which can be investigated by the analysis of p…
Thermodynamics of exponential Kolmogorov-Nagumo averages
Pablo A. Morales, Jan Korbel, Fernando E. Rosas
This paper investigates generalized thermodynamic relationships in physical systems where relevant macroscopic variables are determined by the exponential Kolmogorov-Nagumo average…