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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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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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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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07/01/2022
Gradients of O-information: low-order descriptors of high-order dependencies
O-information is an information-theoretic metric that captures the overa...
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05/02/2022
An information-theoretic approach to hypergraph psychometrics
Psychological network approaches propose to see symptoms or questionnair...
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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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10/02/2020
Hyperharmonic analysis for the study of high-order information-theoretic signals
Network representations often cannot fully account for the structural ri...
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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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04/02/2019