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Open AccessJournal ArticleDOI

Brain criticality beyond avalanches: open problems and how to approach them

Mauricio Girardi-Schappo
- Vol. 2, Iss: 3, pp 031003
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The article was published on 2021-09-01 and is currently open access. It has received 7 citations till now. The article focuses on the topics: Criticality & Self-organized criticality.

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Homeostatic criticality in neuronal networks

TL;DR: In this article , the authors propose simple homeostatic mechanisms which promote self-organization of coupling strengths, gains, and firing thresholds in neuronal networks, and show that with an adequate separation of the timescales for the coupling strength and firing threshold dynamics, near criticality (SOqC) can be reached and sustained even in the presence of significant external input.
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A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking

TL;DR: In this paper, the authors developed a new theory of E/I balance that relies on two homeostatic adaptation mechanisms: the short-term depression of inhibition and the spike-dependent threshold increase.
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Predicting future links with new nodes in temporal academic networks

TL;DR: Wang et al. as mentioned in this paper proposed a link prediction model to predict future links in real-world networks, which also can help us understand the evolution law of real systems and uncover missing links from known parts of the network.
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Theoretical foundations of studying criticality in the brain

TL;DR: A systematic review and reformulate the foundations of studying brain criticality, providing step-by-step derivations to characterize neural dynamics as a physical system with avalanches and a forward-looking perspective on how optimizing the foundations can deepen the understanding of various neuroscience questions.
Journal ArticleDOI

Entropy, Economics, and Criticality

Michael Harre
- 28 Jan 2022 - 
TL;DR: This article provides a selective review of a specific aspect of information theory that has received less attention than many of the others: as a tool for understanding, modelling, and detecting non-linear phenomena in finance and economics.
References
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Journal ArticleDOI

Evidence for Quasicritical Brain Dynamics

TL;DR: This article showed that quasicriticality predicts a departure from criticality along a Widom line with exponents that decrease in absolute value, while still holding approximately to a dynamical scaling relation.
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Homeostatic plasticity and emergence of functional networks in a whole-brain model at criticality.

TL;DR: In this paper, the authors investigate the role of homeostatic plasticity mechanisms in regulating network activity and brain functioning against a wide range of environmental conditions and brain states (e.g., during learning, development, ageing, neurological diseases).
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Self-Organized Supercriticality and Oscillations in Networks of Stochastic Spiking Neurons

TL;DR: In this article, the authors study fully-connected networks analytically, numerically and by computational simulations and show that the neurons have dynamic gains that enable the network to converge to a stationary slightly supercritical state (SOSC) in the presence of the continuous transition.
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Critical dynamics, anesthesia and information integration: Lessons from multi-scale criticality analysis of voltage imaging data.

TL;DR: It is found that anesthesia systematically varied the scaling behavior of neural dynamics, a change that was mirrored in reduced neural complexity, implying that multi‐scale criticality measures are potential biomarkers for assessing the level of consciousness.
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Self-organized dynamical complexity in human wakefulness and sleep: different critical brain-activity feedback for conscious and unconscious states.

TL;DR: It is shown that while critical avalanching is unchanged, at least qualitatively, intermittency and functional connectivity, present during conscious phases (wakefulness and REM sleep), break down during both shallow and deep non-REM sleep.
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