The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Synchronization and computation in a chaotic neural network
Abstract
Chaos generated by the internal dynamics of a large neural network can be correlated over large spatial scales. Modulating the spatial coherence of the chaotic fluctuations by the spatial pattern of the external input provides a robust mechanism for feature segmentation and binding, which cannot be accomplished by networks of oscillators with local noise. This is demonstrated by an investigation of synchronized chaos in a network model of bursting neurons responding to an inhomogeneous stimulus.
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Cites
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How brains make chaos in order to make sense of the world
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A model of neuronal bursting using three coupled first order differential equations
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Globally coupled chaos violates the law of large numbers but not the central-limit theorem
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Cited by
Complex networks: structure and dynamics
BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010
Phase Synchronization of Chaotic Oscillators
Rosenblum, M. G., Pikovsky, A. S., & Kurths, J. (1996) · Physical Review Letters · doi:10.1103/physrevlett.76.1804 · Cited by 2,743
Goebel, R., Sanfelice, R. G., & Teel, A. R. (2009) · IEEE Control Systems · doi:10.1109/mcs.2008.931718 · Cited by 1,656
Neural syntax: cell assemblies, synapsembles, and readers
Buzsáki, G. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.023 · Cited by 1,289
Neuronal Reward and Decision Signals: From Theories to Data
Schultz, W. (2015) · Physiological Reviews · doi:10.1152/physrev.00023.2014 · Cited by 1,126
Metadata
- Authors
- Hansel, D., & Sompolinsky, H.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 1992-02-03
- Volume
- 68
- Issue
- 5
- Pages
- 718-721
- ISSN
- 0031-9007 (ISSN-L)
- OpenAlex
- W1970781510
- Cited by
- 332
- References
- 15
- FWCI
- 5.25
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
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.
