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Covariance Plasticity and Regulated Criticality | | Elie Bienenstock
; Daniel Lehmann
; | | Date: |
20 Feb 2002 | | Journal: | Advances in Complex Systems, 1(4) (1998) pp. 361-384 | | Subject: | Neural and Evolutionary Computing; Artificial Intelligence; Adaptation and Self-Organizing Systems ACM-class: I.2.6 | cs.NE cs.AI nlin.AO q-bio | | Abstract: | We propose that a regulation mechanism based on Hebbian covariance plasticity may cause the brain to operate near criticality. We analyze the effect of such a regulation on the dynamics of a network with excitatory and inhibitory neurons and uniform connectivity within and across the two populations. We show that, under broad conditions, the system converges to a critical state lying at the common boundary of three regions in parameter space; these correspond to three modes of behavior: high activity, low activity, oscillation. | | Source: | arXiv, cs.NE/0202034 | | Services: | Forum | Review | PDF | Favorites | |
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