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Open Access item Self-Tuned Critical Anti-Hebbian Networks
|Authors:||Magnasco, Marcelo O.|
Cecchi, Guillermo A.
|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|
|E-ISSNmetadata.dc.identifier.doi = DOI:||1079-7114|
|Appears in Collections:||(IFISC) Artículos|
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