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.read more
Citations
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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.
Journal ArticleDOI
A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking
Mauricio Girardi-Schappo,Emilio F. Galera,Tawan T. A. Carvalho,Ludmila Brochini,Nilton L. Kamiji,Antonio C. Roque,Osame Kinouchi +6 more
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.
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Entropy, Economics, and Criticality
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
Avalanche dynamics of human brain oscillations: Relation to critical branching processes and temporal correlations
TL;DR: The results support the idea that neuronal networks generating ongoing alpha oscillations during rest operate near a critical state, but also suggest that factors not included in the simple classical branching process are needed to account for the complex temporal structure of ongoing oscillationsDuring rest on time scales longer than the duration of individual oscillation bursts.
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Whole-Brain Neuronal Activity Displays Crackling Noise Dynamics.
TL;DR: It is shown that gap junctions contribute to the maintenance of criticality and that, during interactions with the environment, the system is transiently displaced to a more ordered regime, conceivably to limit the potential sensory representations and motor outcomes.
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Bits from brains for biologically-inspired computing
TL;DR: This article shows how to analyze neural systems using information theory with the aim of obtaining constraints that help to identify the algorithms run by neural systems and the information they represent.
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Critical slowing down as a biomarker for seizure susceptibility.
Matias I. Maturana,Christian Meisel,Katrina L. Dell,Philippa J. Karoly,Wendyl D'Souza,David B. Grayden,Anthony N. Burkitt,Premysl Jiruska,Premysl Jiruska,Jan Kudlacek,Jan Kudlacek,Jan Kudlacek,Jaroslav Hlinka,Jaroslav Hlinka,Mark J. Cook,Levin Kuhlmann,Levin Kuhlmann,Levin Kuhlmann,Dean R. Freestone +18 more
TL;DR: Using long-term intracranial electroencephalography recordings from fourteen patients with focal epilepsy, key signatures of critical slowing down are monitored and it is shown critical slowing can be used as a marker in seizure forecasting algorithms.
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Self-organization without conservation : true or just apparent scale-invariance?
TL;DR: In this article, the existence of true scale-invariance in slowly driven models of self-organized criticality without a conservation law, such as forest-fires or earthquake automata, is scrutinized.