Definition
A dataset comprised of many population-level neural “events” is defined to be neuronal avalanches only if the probability distribution P(s) of event sizes s takes the functional form of a power-law P (s) ~ s −α, with exponent 1 < α < 2.
Detailed Description
Neuronal avalanches is a term used to describe a specific statistical character of spatiotemporal, population-level neuronal dynamics. Being a relatively young concept, introduced in 2003 (Beggs and Plenz 2003), a precise definition of neuronal avalanches is elusive with different authors adopting similar but nonidentical uses of the term. Nonetheless, there is consensus on certain defining aspects of neuronal avalanches, which may be distinguished from those which remain flexible and debated. In the following, we will first attempt to clarify the definitive and ambiguous...
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Shew, W. (2013). Neuronal Avalanches. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_743-3
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DOI: https://doi.org/10.1007/978-1-4614-7320-6_743-3
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Latest
Neuronal Avalanches- Published:
- 03 September 2018
DOI: https://doi.org/10.1007/978-1-4614-7320-6_743-4
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Original
Neuronal Avalanches- Published:
- 08 February 2014
DOI: https://doi.org/10.1007/978-1-4614-7320-6_743-3