The dynamics of critical Kauffman networks under asynchronous stochastic update

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dc.creatorGreil, Florian
dc.creatorDrossel, Barbara
dc.date2005-01-05
dc.date.accessioned2026-07-07T07:39:18Z
dc.date.available2026-07-07T07:39:18Z
dc.descriptionWe show that the mean number of attractors in a critical Boolean network under asynchronous stochastic update grows like a power law and that the mean size of the attractors increases as a stretched exponential with the system size. This is in strong contrast to the synchronous case, where the number of attractors grows faster than any power law.
dc.descriptionsubmitted to PRL
dc.identifierhttps://arxiv.org/abs/cond-mat/0501081
dc.identifierhttp://arxiv.org/abs/cond-mat/0501081
dc.identifierPhys. Rev. Lett. 95, 048701 (2005)
dc.identifierdoi:10.1103/PhysRevLett.95.048701
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/121400
dc.subjectDisordered Systems and Neural Networks
dc.subjectStatistical Mechanics
dc.titleThe dynamics of critical Kauffman networks under asynchronous stochastic update
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