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Title: | Self-Tuned Critical Anti-Hebbian Networks |
Authors: | Magnasco, Marcelo O.; Piro, Oreste ![]() |
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 |
DOI: | 10.1103/PhysRevLett.102.258102 |
ISSN: | 0031-9007 |
E-ISSN: | 1079-7114 |
Appears in Collections: | (IFISC) Artículos |
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PhysRevLett.102.258102.pdf | 872,63 kB | Adobe PDF | ![]() View/Open |
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