The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Universal Critical Dynamics in High Resolution Neuronal Avalanche Data
Open accessAbstract
The tasks of neural computation are remarkably diverse. To function optimally, neuronal networks have been hypothesized to operate near a nonequilibrium critical point. However, experimental evidence for critical dynamics has been inconclusive. Here, we show that the dynamics of cultured cortical networks are critical. We analyze neuronal network data collected at the individual neuron level using the framework of nonequilibrium phase transitions. Among the most striking predictions confirmed is that the mean temporal profiles of avalanches of widely varying durations are quantitatively described by a single universal scaling function. We also show that the data have three additional features predicted by critical phenomena: approximate power law distributions of avalanche sizes and durations, samples in subcritical and supercritical phases, and scaling laws between anomalous exponents.
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Cites
Highly nonrandom features of synaptic connectivity in local cortical circuits
Song, S., Sjöström, P. J., Reigl, M., Nelson, S., & Chklovskii, D. B. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030068 · Cited by 1,512
Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks
Bertschinger, N., & Natschläger, T. (2004) · Neural Computation · doi:10.1162/089976604323057443 · Cited by 833
Optimal dynamical range of excitable networks at criticality
Kinouchi, O., & Copelli, M. (2006) · Nature Physics · doi:10.1038/nphys289 · Cited by 831
Are Biological Systems Poised at Criticality?
Mora, T., & Bialek, W. (2011) · Journal of Statistical Physics · doi:10.1007/s10955-011-0229-4 · Cited by 734
Vogels, T. P., Rajan, K., & Abbott, L. F. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135637 · Cited by 497
Cited by
Dynamic models of large-scale brain activity
Breakspear, M. (2017) · Nature Neuroscience · doi:10.1038/nn.4497 · Cited by 1,239
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
Criticality between Cortical States
Fontenele, A. J., de Vasconcelos, N. A. P., Feliciano, T., Aguiar, L. A. A., Soares-Cunha, C., Coimbra, B., Dalla Porta, L., Ribeiro, S., Rodrigues, A. J., Sousa, N., et al. (2019) · Physical Review Letters · doi:10.1103/physrevlett.122.208101 · Cited by 237
Power-law statistics and universal scaling in the absence of criticality
Touboul, J., & Destexhe, A. (2017) · Physical Review E · doi:10.1103/physreve.95.012413 · Cited by 210
Voltage imaging of waking mouse cortex reveals emergence of critical neuronal dynamics
Scott, G., Fagerholm, E. D., Mutoh, H., Leech, R., Sharp, D. J., Shew, W. L., & Knöpfel, T. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3474-14.2014 · Cited by 158
Metadata
- Authors
- Friedman, N., Ito, S., Brinkman, B. A. W., Shimono, M., DeVille, R. E. L., Dahmen, K. A., Beggs, J. M., & Butler, T. C.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2012-05-16
- Volume
- 108
- Issue
- 20
- Pages
- 208102-208102
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2061002342
- Cited by
- 501
- References
- 5
- FWCI
- 18.90
- Type
- journal article
- Language
- en
- Open access
- green
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- Friedman, N., Ito, S., Brinkman, B. A. W., Shimono, M., DeVille, R. E. L., Dahmen, K. A., Beggs, J. M., & Butler, T. C. (2012). Universal Critical Dynamics in High Resolution Neuronal Avalanche Data. Physical Review Letters. https://doi.org/10.1103/physrevlett.108.208102
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