498 citations · 505 across the 6 of their papers we have counts for
12 papers
Shannon invariants: A scalable approach to information decomposition
Aaron J. Gutknecht, Fernando E. Rosas, David A. Ehrlich +3
Distributed systems, such as biological and artificial neural networks, process information via complex interactions engaging multiple subsystems, resulting in high-order patterns…
Simple physical systems as a reference for multivariate information dynamics
Alberto Liardi, Madalina I. Sas, George Blackburne +3
Understanding a complex system entails capturing the non-trivial collective phenomena that arise from interactions between its different parts. Information theory is a flexible and…
The topology of synergy: linking topological and information-theoretic approaches to higher-order interactions in complex systems
Thomas F. Varley, Pedro A. M. Mediano, Alice Patania +1
The study of irreducible higher-order interactions has become a core topic of study in complex systems. Two of the most well-developed frameworks, topological data analysis and mul…
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…
Identifying Nonstationary Causal Structures with High-Order Markov Switching Models
Carles Balsells-Rodas, Yixin Wang, Pedro A. M. Mediano +1
Causal discovery in time series is a rapidly evolving field with a wide variety of applications in other areas such as climate science and neuroscience. Traditional approaches assu…
Characterising directed and undirected metrics of high-order interdependence
Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
Systems of interest for theoretical or experimental work often exhibit high-order interactions, corresponding to statistical interdependencies in groups of variables that cannot be…