The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Self-Organized Criticality Model for Brain Plasticity
Open accessAbstract
Networks of living neurons exhibit an avalanche mode of activity, experimentally found in organotypic cultures. Here we present a model that is based on self-organized criticality and takes into account brain plasticity, which is able to reproduce the spectrum of electroencephalograms (EEG). The model consists of an electrical network with threshold firing and activity-dependent synapse strengths. The system exhibits an avalanche activity in a power-law distribution. The analysis of the power spectra of the electrical signal reproduces very robustly the power-law behavior with the exponent 0.8, experimentally measured in EEG spectra. The same value of the exponent is found on small-world lattices and for leaky neurons, indicating that universality holds for a wide class of brain models.
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Cites
Collective dynamics of ‘small-world’ networks
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Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
Neuronal Oscillations in Cortical Networks
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Model of autism: increased ratio of excitation/inhibition in key neural systems
Rubenstein, J. L. R., & Merzenich, M. M. (2003) · Genes, Brain and Behavior · doi:10.1034/j.1601-183x.2003.00037.x · Cited by 2,768
How Nature Works: The Science of Self-Organized Criticality
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Synaptic plasticity: taming the beast
Abbott, L. F., & Nelson, S. B. (2000) · Nature Neuroscience · doi:10.1038/81453 · Cited by 2,263
Punctuated equilibrium and criticality in a simple model of evolution
Bak, P., & Sneppen, K. (1993) · Physical Review Letters · doi:10.1103/physrevlett.71.4083 · Cited by 1,497
Synaptic Modification by Correlated Activity: Hebb's Postulate Revisited
Bi, G.-Q., & Poo, M.-M. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.139 · Cited by 1,489
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Cited by
The Temporal Structures and Functional Significance of Scale-free Brain Activity
He, B. J., Zempel, J. M., Snyder, A. Z., & Raichle, M. E. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.020 · Cited by 990
Power-Law Scaling in the Brain Surface Electric Potential
Miller, K. J., Sorensen, L. B., Ojemann, J. G., & den Nijs, M. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000609 · Cited by 742
The criticality hypothesis: how local cortical networks might optimize information processing
Beggs, J. M. (2008) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2007.2092 · Cited by 533
The application of graph theoretical analysis to complex networks in the brain
Reijneveld, J. C., Ponten, S. C., Berendse, H. W., & Stam, C. J. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.08.010 · Cited by 522
Being Critical of Criticality in the Brain
Beggs, J. M., & Timme, N. (2012) · Frontiers in Physiology · doi:10.3389/fphys.2012.00163 · Cited by 494
Metadata
- Authors
- de Arcangelis, L., Perrone-Capano, C., & Herrmann, H. J.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2006-01-19
- Volume
- 96
- Issue
- 2
- Pages
- 028107-028107
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2084856663
- Cited by
- 263
- References
- 35
- FWCI
- 4.30
- Type
- journal article
- Language
- en
- Open access
- green
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- de Arcangelis, L., Perrone-Capano, C., & Herrmann, H. J. (2006). Self-Organized Criticality Model for Brain Plasticity. Physical Review Letters. https://doi.org/10.1103/physrevlett.96.028107
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.