Covariance Plasticity and Regulated Criticality

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dc.creatorBienenstock, Elie
dc.creatorLehmann, Daniel
dc.date2002-02-20
dc.date.accessioned2026-07-07T03:18:10Z
dc.date.available2026-07-07T03:18:10Z
dc.descriptionWe 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.
dc.description35 pages, 8 figures
dc.identifierhttps://arxiv.org/abs/cs/0202034
dc.identifierhttp://arxiv.org/abs/cs/0202034
dc.identifierAdvances in Complex Systems, 1(4) (1998) pp. 361-384
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31004
dc.subjectNeural and Evolutionary Computing
dc.subjectArtificial Intelligence
dc.subjectAdaptation and Self-Organizing Systems
dc.subjectQuantitative Biology
dc.subjectI.2.6
dc.titleCovariance Plasticity and Regulated Criticality
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