119 citations · 183 across the 10 of their papers we have counts for
10 papers
Information Dynamics of Language Communication
Leonardo S. Goodall, Andrea I. Luppi, Pedro A. M. Mediano
Quantifying how meaning propagates through communicative exchanges remains underdeveloped in computational linguistics. Here we introduce an information-theoretic framework that qu…
Evolving reservoir computers reveals bidirectional coupling between predictive power and emergent dynamics
Hanna M. Tolle, Andrea I Luppi, Anil K. Seth +1
Biological neural networks can perform complex computations to predict their environment, far above the limited predictive capabilities of individual neurons. While conventional ap…
Software in the natural world: A computational approach to hierarchical emergence
Fernando E. Rosas, Bernhard C. Geiger, Andrea I Luppi +4
Understanding the functional architecture of complex systems is crucial to illuminate their inner workings and enable effective methods for their prediction and control. Recent adv…
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…
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…
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…
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,…
Greater than the parts: A review of the information decomposition approach to causal emergence
Pedro A. M. Mediano, Fernando E. Rosas, Andrea I. Luppi +5
Emergence is a profound subject that straddles many scientific disciplines, including the formation of galaxies and how consciousness arises from the collective activity of neurons…
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…