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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/46726
Title: Self-Tuned Critical Anti-Hebbian Networks
Authors: Magnasco, Marcelo O.; Piro, Oreste; Cecchi, Guillermo A.
Issue Date: 2009
Publisher: American Physical Society
Citation: Physical Review Letters 102: 258102 (2009)
Abstract: It is widely recognized that balancing excitation and inhibition is important in the nervous system. When such a balance is sought by global strategies, few modes remain poised close to instability, and all other modes are strongly stable. Here we present a simple abstract model in which this balance is sought locally by units following "anti-Hebbian" evolution: all degrees of freedom achieve a close balance of excitation and inhibition and become "critical" in the dynamical sense. At long time scales, a complex "breakout" dynamics ensues in which different modes of the system oscillate between prominence and extinction; the model develops various long-tailed statistical behaviors and may become self-organized critical.
Description: PACS: 84.35.+i, 05.65.+b, 64.70.qj, 87.18.Vf
Publisher version (URL): http://dx.doi.org/10.1103/PhysRevLett.102.258102
URI: http://hdl.handle.net/10261/46726
ISSN: 0031-9007
DOI: 10.1103/PhysRevLett.102.258102
E-ISSN: 1079-7114
Appears in Collections:(IFISC) Artículos
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