The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Neuronal Avalanches in Spontaneous Activity In Vivo
Open accessAbstract
Many complex systems give rise to events that are clustered in space and time, thereby establishing a correlation structure that is governed by power law statistics. In the cortex, such clusters of activity, called “neuronal avalanches,” were recently found in local field potentials (LFPs) of spontaneous activity in acute cortex slices, slice cultures, the developing cortex of the anesthetized rat, and premotor and motor cortex of awake monkeys. At present, it is unclear whether neuronal avalanches also exist in the spontaneous LFPs and spike activity in vivo in sensory areas of the mature brain. To address this question, we recorded spontaneous LFPs and extracellular spiking activity with multiple 4 × 4 microelectrode arrays (Michigan Probes) in area 17 of adult cats under anesthesia. A cluster of events was defined as a consecutive sequence of time bins Δ t (1–32 ms), each containing at least one LFP event or spike anywhere on the array. LFP cluster sizes consistently distributed according to a power law with a slope largely above –1.5. In two thirds of the corresponding experiments, spike clusters also displayed a power law that displayed a slightly steeper slope of −1.8 and was destroyed by subsampling operations. The power law in spike clusters was accompanied with stronger temporal correlations between spiking activities of neurons that spanned longer time periods compared with spike clusters lacking power law statistics. The results suggest that spontaneous activity of the visual cortex under anesthesia has the properties of neuronal avalanches.
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Cites
Spontaneously emerging cortical representations of visual attributes
Kenet, T., Bibitchkov, D., Tsodyks, M., Grinvald, A., & Arieli, A. (2003) · Nature · doi:10.1038/nature02078 · Cited by 924
Optimal dynamical range of excitable networks at criticality
Kinouchi, O., & Copelli, M. (2006) · Nature Physics · doi:10.1038/nphys289 · Cited by 831
On the dynamics of the spontaneous activity in neuronal networks
Mazzoni, A., Broccard, F. D., Garcia-Perez, E., Bonifazi, P., Ruaro, M. E., & Torre, V. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000439 · Cited by 279
Cited by
Emergent complex neural dynamics
Chialvo, D. R. (2010) · Nature Physics · doi:10.1038/nphys1803 · Cited by 1,165
The Functional Benefits of Criticality in the Cortex
Shew, W. L., & Plenz, D. (2013) · The Neuroscientist · doi:10.1177/1073858412445487 · Cited by 607
Self-citationBeing Critical of Criticality in the Brain
Beggs, J. M., & Timme, N. (2012) · Frontiers in Physiology · doi:10.3389/fphys.2012.00163 · Cited by 494
Self-organized criticality as a fundamental property of neural systems
Hesse, J., & Gross, T. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00166 · Cited by 440
Power laws and self-organized criticality in theory and nature
Marković, D., & Gros, C. (2014) · Physics Reports · doi:10.1016/j.physrep.2013.11.002 · Cited by 263
Metadata
- Authors
- Hahn, G., Petermann, T., Havenith, M. N., Yu, S., Singer, W., Plenz, D., & Nikolić, D.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2010-12
- Volume
- 104
- Issue
- 6
- Pages
- 3312-3322
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2131147010
- Cited by
- 207
- References
- 3
- FWCI
- 7.42
- Type
- journal article
- Language
- en
- Open access
- green
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