The dynamics of critical Kauffman networks under asynchronous stochastic update
Disordered Systems and Neural Networks
2007-05-23 v1 Statistical Mechanics
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.
Cite
@article{arxiv.cond-mat/0501081,
title = {The dynamics of critical Kauffman networks under asynchronous stochastic update},
author = {Florian Greil and Barbara Drossel},
journal= {arXiv preprint arXiv:cond-mat/0501081},
year = {2007}
}
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