[HTML][HTML] Information decomposition and the informational architecture of the brain

AI Luppi, FE Rosas, PAM Mediano, DK Menon… - Trends in Cognitive …, 2024 - cell.com
To explain how the brain orchestrates information-processing for cognition, we must
understand information itself. Importantly, information is not a monolithic entity. Information …

Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends

G Chiarion, L Sparacino, Y Antonacci, L Faes, L Mesin - Bioengineering, 2023 - mdpi.com
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

Higher-order organization of multivariate time series

A Santoro, F Battiston, G Petri, E Amico - Nature Physics, 2023 - nature.com
Time series analysis has proven to be a powerful method to characterize several
phenomena in biology, neuroscience and economics, and to understand some of their …

Multivariate information theory uncovers synergistic subsystems of the human cerebral cortex

TF Varley, M Pope, J Faskowitz, O Sporns - Communications biology, 2023 - nature.com
One of the most well-established tools for modeling the brain is the functional connectivity
network, which is constructed from pairs of interacting brain regions. While powerful, the …

The new field of network physiology: building the human physiolome

PC Ivanov - Frontiers in network physiology, 2021 - frontiersin.org
The human organism comprises various physiological and organ systems, each with its own
structural organization and functional complexity, leading to complex, transient, fluctuating …

A new framework for the time-and frequency-domain assessment of high-order interactions in networks of random processes

L Faes, G Mijatovic, Y Antonacci… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
While the standard network description of complex systems is based on quantifying the link
between pairs of system units, higher-order interactions (HOIs) involving three or more units …

[HTML][HTML] Changes in high-order interaction measures of synergy and redundancy during non-ordinary states of consciousness induced by meditation, hypnosis, and …

P Kumar, R Panda, K Sharma, A Adarsh, J Annen… - Neuroimage, 2024 - Elsevier
High-order interactions are required across brain regions to accomplish specific cognitive
functions. These functional interdependencies are reflected by synergistic information that …

High-order interdependencies in the aging brain

M Gatica, R Cofré, PAM Mediano, FE Rosas… - Brain …, 2021 - liebertpub.com
Background: Brain interdependencies can be studied from either a structural/anatomical
perspective (“structural connectivity”) or by considering statistical interdependencies …

Dynamical robustness of network of oscillators

S Majhi, B Rakshit, A Sharma, J Kurths, D Ghosh - Physics Reports, 2024 - Elsevier
Most complex systems are nonlinear, relying on emergent behavior resulting from many
interacting subsystems, which are often characterized by oscillatory dynamics. Having …

Information-processing dynamics in neural networks of macaque cerebral cortex reflect cognitive state and behavior

TF Varley, O Sporns, S Schaffelhofer… - Proceedings of the …, 2023 - pnas.org
One of the essential functions of biological neural networks is the processing of information.
This includes everything from processing sensory information to perceive the environment …