Kauffman networks with threshold functions
无序系统与神经网络
2007-07-16 v1 统计力学
摘要
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.
关键词
引用
@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}
}
备注
4 pages, submitted to PhysRev; http://www.edpsciences.org/10.1140/epjb/e2007-00161-0