Literature DB >> 33939016

Neural field theory of neural avalanche exponents.

P A Robinson1,2.   

Abstract

The power-law exponents of observed size and lifetime distributions of near-critical neural avalanches are calculated from neural field theory using diagrammatic methods. This brings neural avalanches within the ambit of neural field theory, which has also previously explained near-critical 1/f spectra and many other observed features of neural activity. This strengthens the case for near-criticality of the brain and opens the way for these other phenomena to be interrelated with avalanches and their dynamics.

Entities:  

Keywords:  Criticality; Neural avalanches; Neural field theory; Scaling exponents

Mesh:

Year:  2021        PMID: 33939016     DOI: 10.1007/s00422-021-00875-9

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  27 in total

1.  Neuronal avalanches are diverse and precise activity patterns that are stable for many hours in cortical slice cultures.

Authors:  John M Beggs; Dietmar Plenz
Journal:  J Neurosci       Date:  2004-06-02       Impact factor: 6.167

2.  Self-organized criticality: An explanation of the 1/f noise.

Authors: 
Journal:  Phys Rev Lett       Date:  1987-07-27       Impact factor: 9.161

3.  Simple unified view of branching process statistics: Random walks in balanced logarithmic potentials.

Authors:  Serena di Santo; Pablo Villegas; Raffaella Burioni; Miguel A Muñoz
Journal:  Phys Rev E       Date:  2017-03-07       Impact factor: 2.529

Review 4.  Efficient codes and balanced networks.

Authors:  Sophie Denève; Christian K Machens
Journal:  Nat Neurosci       Date:  2016-03       Impact factor: 24.884

5.  Ongoing cortical activity at rest: criticality, multistability, and ghost attractors.

Authors:  Gustavo Deco; Viktor K Jirsa
Journal:  J Neurosci       Date:  2012-03-07       Impact factor: 6.167

6.  Neuronal avalanches in neocortical circuits.

Authors:  John M Beggs; Dietmar Plenz
Journal:  J Neurosci       Date:  2003-12-03       Impact factor: 6.167

7.  Fractal complexity in spontaneous EEG metastable-state transitions: new vistas on integrated neural dynamics.

Authors:  Paolo Allegrini; Paolo Paradisi; Danilo Menicucci; Angelo Gemignani
Journal:  Front Physiol       Date:  2010-09-15       Impact factor: 4.566

8.  Phase transitions and self-organized criticality in networks of stochastic spiking neurons.

Authors:  Ludmila Brochini; Ariadne de Andrade Costa; Miguel Abadi; Antônio C Roque; Jorge Stolfi; Osame Kinouchi
Journal:  Sci Rep       Date:  2016-11-07       Impact factor: 4.379

9.  Second type of criticality in the brain uncovers rich multiple-neuron dynamics.

Authors:  David Dahmen; Sonja Grün; Markus Diesmann; Moritz Helias
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-12       Impact factor: 11.205

Review 10.  The dynamic brain: from spiking neurons to neural masses and cortical fields.

Authors:  Gustavo Deco; Viktor K Jirsa; Peter A Robinson; Michael Breakspear; Karl Friston
Journal:  PLoS Comput Biol       Date:  2008-08-29       Impact factor: 4.475

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  1 in total

1.  Integrals and series related to propagators of neural and haemodynamic waves.

Authors:  P A Robinson
Journal:  R Soc Open Sci       Date:  2021-12-01       Impact factor: 2.963

  1 in total

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