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Being Critical of Criticality in the Brain

Frontiers in Physiology · 2012 · Vol. 3 · pp. 163–163
John M. BeggsNicholas M. Timme

Abstract

Relatively recent work has reported that networks of neurons can produce avalanches of activity whose sizes follow a power law distribution. This suggests that these networks may be operating near a critical point, poised between a phase where activity rapidly dies out and a phase where activity is amplified over time. The hypothesis that the electrical activity of neural networks in the brain is critical is potentially important, as many simulations suggest that information processing functions would be optimized at the critical point. This hypothesis, however, is still controversial. Here we will explain the concept of criticality and review the substantial objections to the criticality hypothesis raised by skeptics. Points and counter points are presented in dialog form.

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References
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PLoS Computational Biology · 2009 · 802 citations
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Nature Physics · 2010 · 1,210 citations
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American Journal of Physics · 1983 · 21,806 citations
Neuronal Avalanches in Neocortical Circuits
Journal of Neuroscience · 2003 · 2,326 citations
Introduction to Phase Transitions and Critical Phenomena
American Journal of Physics · 1972 · 4,088 citations
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