Kauffman networks with threshold functions
Disordered Systems and Neural Networks
2007-07-16 v1 Statistical Mechanics
Abstract
We investigate Threshold Random Boolean Networks with inputs per node, which are equivalent to Kauffman networks, with only part of the canalyzing functions as update functions. According to the simplest consideration these networks should be critical but it turns out that they show a rich variety of behaviors, including periodic and chaotic oscillations. The results are supported by analytical calculations and computer simulations.
Keywords
Cite
@article{arxiv.cond-mat/0701176,
title = {Kauffman networks with threshold functions},
author = {Florian Greil and Barbara Drossel},
journal= {arXiv preprint arXiv:cond-mat/0701176},
year = {2007}
}
Comments
4 pages, submitted to PhysRev; http://www.edpsciences.org/10.1140/epjb/e2007-00161-0