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Being Critical of Criticality in the Brain

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Journal Front Physiol
Date 2012 Jun 16
PMID 22701101
Citations 185
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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
1.
Haldeman C, Beggs J . Critical branching captures activity in living neural networks and maximizes the number of metastable States. Phys Rev Lett. 2005; 94(5):058101. DOI: 10.1103/PhysRevLett.94.058101. View

2.
Hsu D, Chen W, Hsu M, Beggs J . An open hypothesis: is epilepsy learned, and can it be unlearned?. Epilepsy Behav. 2008; 13(3):511-22. PMC: 2611958. DOI: 10.1016/j.yebeh.2008.05.007. View

3.
Kitzbichler M, Smith M, Christensen S, Bullmore E . Broadband criticality of human brain network synchronization. PLoS Comput Biol. 2009; 5(3):e1000314. PMC: 2647739. DOI: 10.1371/journal.pcbi.1000314. View

4.
Maass W, Natschlager T, Markram H . Fading memory and kernel properties of generic cortical microcircuit models. J Physiol Paris. 2005; 98(4-6):315-30. DOI: 10.1016/j.jphysparis.2005.09.020. View

5.
Touboul J, Destexhe A . Can power-law scaling and neuronal avalanches arise from stochastic dynamics?. PLoS One. 2010; 5(2):e8982. PMC: 2820096. DOI: 10.1371/journal.pone.0008982. View