How critical is brain criticality?

J O'Byrne, K Jerbi - Trends in Neurosciences, 2022 - cell.com
Criticality is the singular state of complex systems poised at the brink of a phase transition
between order and randomness. Such systems display remarkable information-processing …

Whole-brain models to explore altered states of consciousness from the bottom up

R Cofré, R Herzog, PAM Mediano, J Piccinini… - Brain Sciences, 2020 - mdpi.com
The scope of human consciousness includes states departing from what most of us
experience as ordinary wakefulness. These altered states of consciousness constitute a …

[LLIBRE][B] Transfer entropy

T Bossomaier, L Barnett, M Harré, JT Lizier… - 2016 - Springer
Transfer Entropy Page 1 Chapter 4 Transfer Entropy In this chapter we get to the essential
mathematics of the book—a detailed discussion of transfer entropy. To begin with we look at …

DynamicBC: A MATLAB Toolbox for Dynamic Brain Connectome Analysis

W Liao, GR Wu, Q Xu, GJ Ji, Z Zhang, YF Zang… - Brain …, 2014 - liebertpub.com
The brain connectome collects the complex network architectures, looking at both static and
dynamic functional connectivity. The former normally requires stationary signals and …

Energy landscape analysis of neuroimaging data

T Ezaki, T Watanabe, M Ohzeki… - … Transactions of the …, 2017 - royalsocietypublishing.org
Computational neuroscience models have been used for understanding neural dynamics in
the brain and how they may be altered when physiological or other conditions change. We …

[LLIBRE][B] The cortex and the critical point: understanding the power of emergence

JM Beggs - 2022 - books.google.com
How the cerebral cortex operates near a critical phase transition point for optimum
performance. Individual neurons have limited computational powers, but when they work …

A novel brain partition highlights the modular skeleton shared by structure and function

I Diez, P Bonifazi, I Escudero, B Mateos, MA Muñoz… - Scientific reports, 2015 - nature.com
Elucidating the intricate relationship between brain structure and function, both in healthy
and pathological conditions, is a key challenge for modern neuroscience. Recent progress …

Bits from brains for biologically inspired computing

M Wibral, JT Lizier, V Priesemann - Frontiers in Robotics and AI, 2015 - frontiersin.org
Inspiration for artificial biologically inspired computing is often drawn from neural systems.
This article shows how to analyze neural systems using information theory with the aim of …

Multiscale information decomposition: Exact computation for multivariate Gaussian processes

L Faes, D Marinazzo, S Stramaglia - Entropy, 2017 - mdpi.com
Exploiting the theory of state space models, we derive the exact expressions of the
information transfer, as well as redundant and synergistic transfer, for coupled Gaussian …

Closer to critical resting-state neural dynamics in individuals with higher fluid intelligence

T Ezaki, E Fonseca dos Reis, T Watanabe… - Communications …, 2020 - nature.com
According to the critical brain hypothesis, the brain is considered to operate near criticality
and realize efficient neural computations. Despite the prior theoretical and empirical …