The dynamics of critical Kauffman networks under asynchronous stochastic update

Preprint

5 January 2005

preprint
Published by arXiv in arXiv

https://doi.org/10.48550/arXiv.cond-mat/0501081

Abstract

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.

Keywords

ASYNCHRONOUS STOCHASTIC UPDATE
NETWORKS UNDER ASYNCHRONOUS
KAUFFMAN NETWORKS
STOCHASTIC UPDATE
CRITICAL KAUFFMAN
ATTRACTORS

All Related Versions

Version 1, 2005-01-05, ArXiv
Published version: Physical Review Letters, 95 (4), 048701.

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