2 citations · 2 across the 5 of their papers we have counts for
5 papers
Fisher Information Metric as a model-free measure of proximity to criticality in neural systems
Yuewei Du, Alberto Liardi, Hardik Rajpal +1
Critical phenomena are widespread across many disciplines and have recently become a topic of deep interest in the study of biological and artificial neural networks. A distinct si…
Improved estimators of causal emergence for large systems
Madalina I. Sas, Fernando E. Rosas, Hardik Rajpal +3
A central challenge in the study of complex systems is the quantification of emergence -- understood as the ability of the system to exhibit collective behaviours that cannot be tr…
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…
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…
Complexity, Collective Effects and Modelling of Ecosystems: formation, function and stability
Henrik Jeldtoft Jensen, Elsa Arcaute
We discuss the relevance of studying ecology within the framework of Complexity Science from a statistical mechanics approach. Ecology is concerned with understanding how systems l…