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08/10/2023
Information decomposition reveals hidden high-order contributions to temporal irreversibility
Temporal irreversibility, often referred to as the arrow of time, is a f...
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06/02/2023
Quantifying synergy and redundancy in multiplex networks
Understanding how different networks relate to each other is key for obt...
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06/01/2023
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions
Models that rely solely on pairwise relationships often fail to capture ...
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05/22/2023
Dynamical noise can enhance high-order statistical structure in complex systems
Recent research has provided a wealth of evidence highlighting the pivot...
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05/12/2023
A Logarithmic Decomposition for Information
The Shannon entropy of a random variable X has much behaviour analogous ...
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10/06/2022
Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks
Striking progress has recently been made in understanding human cognitio...
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03/21/2022
Disentangling high-order mechanisms and high-order behaviours in complex systems
Battiston et al. (arXiv:2110.06023) provide a comprehensive overview of ...
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10/14/2020
Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles
Learning and compression are driven by the common aim of identifying and...
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09/21/2020
Decomposing spectral and phasic differences in non-linear features between datasets
When employing non-linear methods to characterise complex systems, it is...
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08/28/2020
Causal blankets: Theory and algorithmic framework
We introduce a novel framework to identify perception-action loops (PALO...
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06/07/2020
Deep active inference agents using Monte-Carlo methods
Active inference is a Bayesian framework for understanding biological in...
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02/28/2019
Quantifying High-order Interdependencies via Multivariate Extensions of the Mutual Information
This article introduces a model-agnostic approach to study statistical s...
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09/28/2018
Relational Forward Models for Multi-Agent Learning
The behavioral dynamics of multi-agent systems have a rich and orderly s...
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07/05/2017
Spectral Modes of Network Dynamics Reveal Increased Informational Complexity Near Criticality
What does the informational complexity of dynamical networked systems te...
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11/08/2016