Literature DB >> 33750159

Evidence for Quasicritical Brain Dynamics.

Leandro J Fosque1, Rashid V Williams-García2, John M Beggs1, Gerardo Ortiz1.   

Abstract

Much evidence seems to suggest the cortex operates near a critical point, yet a single set of exponents defining its universality class has not been found. In fact, when critical exponents are estimated from data, they widely differ across species, individuals of the same species, and even over time, or depending on stimulus. Interestingly, these exponents still approximately hold to a dynamical scaling relation. Here we show that the theory of quasicriticality, an organizing principle for brain dynamics, can account for this paradoxical situation. As external stimuli drive the cortex, 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. We use simulations and experimental data to confirm these predictions and describe new ones that could be tested soon.

Mesh:

Year:  2021        PMID: 33750159     DOI: 10.1103/PhysRevLett.126.098101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  5 in total

Review 1.  Toward a Unified Analysis of the Brain Criticality Hypothesis: Reviewing Several Available Tools.

Authors:  Chaojun Yu
Journal:  Front Neural Circuits       Date:  2022-05-20       Impact factor: 3.342

2.  Disentangling the critical signatures of neural activity.

Authors:  Benedetta Mariani; Giorgio Nicoletti; Marta Bisio; Marta Maschietto; Stefano Vassanelli; Samir Suweis
Journal:  Sci Rep       Date:  2022-06-24       Impact factor: 4.996

Review 3.  Addressing skepticism of the critical brain hypothesis.

Authors:  John M Beggs
Journal:  Front Comput Neurosci       Date:  2022-09-15       Impact factor: 3.387

4.  Neuronal avalanche dynamics and functional connectivity elucidate information propagation in vitro.

Authors:  Kristine Heiney; Ola Huse Ramstad; Vegard Fiskum; Axel Sandvig; Ioanna Sandvig; Stefano Nichele
Journal:  Front Neural Circuits       Date:  2022-09-15       Impact factor: 3.342

5.  Avalanches and edge-of-chaos learning in neuromorphic nanowire networks.

Authors:  Joel Hochstetter; Ruomin Zhu; Alon Loeffler; Adrian Diaz-Alvarez; Tomonobu Nakayama; Zdenka Kuncic
Journal:  Nat Commun       Date:  2021-06-29       Impact factor: 14.919

  5 in total

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