The dynamics of critical Kauffman networks under asynchronous stochastic update

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We 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.
submitted to PRL

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Disordered Systems and Neural Networks, Statistical Mechanics

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http://salesiana.dossiersoluciones.com/handle/123456789/121400

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/0501081
 http://arxiv.org/abs/cond-mat/0501081
 Phys. Rev. Lett. 95, 048701 (2005)
 doi:10.1103/PhysRevLett.95.048701

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arXiv