2024-03-29T14:38:45Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/467262016-02-17T06:48:51Zcom_10261_2855com_10261_4col_10261_2857
2012-03-07T16:17:55Z
urn:hdl:10261/46726
Self-Tuned Critical Anti-Hebbian Networks
Magnasco, Marcelo O.
Piro, Oreste
Cecchi, Guillermo A.
PACS: 84.35.+i, 05.65.+b, 64.70.qj, 87.18.Vf
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.
2012-03-07T16:17:55Z
2012-03-07T16:17:55Z
2009
artÃculo
Physical Review Letters 102: 258102 (2009)
0031-9007
http://hdl.handle.net/10261/46726
10.1103/PhysRevLett.102.258102
1079-7114
eng
http://dx.doi.org/10.1103/PhysRevLett.102.258102
openAccess
American Physical Society