Kauffman networks with threshold functions

被引：0
作者：
F. Greil
B. Drossel
机构：
[1] Institut für Festkörperphysik,
[2] Technische Universität Darmstadt,undefined
来源：
The European Physical Journal B | 2007年 / 57卷
关键词：
89.75.Hc Networks and genealogical trees; 05.70.Fh Phase transitions: general studies; 05.65.+b Self-organized systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We investigate Threshold Random Boolean Networks with K = 2 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 analytical results are supported by computer simulations.
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页码：109 / 113
页数：4
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