Input-State Approach to Boolean Networks

被引:157
作者
Cheng, Daizhan [1 ]
机构
[1] Chinese Acad Sci, Inst Syst Sci, Beijing 100190, Peoples R China
来源
IEEE TRANSACTIONS ON NEURAL NETWORKS | 2009年 / 20卷 / 03期
关键词
Algebraic form; input-state structure; invariant subspace; network transition matrix;
D O I
10.1109/TNN.2008.2011359
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper investigates the structure of Boolean networks via input-state structure. Using the algebraic form proposed by the author, the logic-based input-state dynamics of Boolean networks, called the Boolean control networks, is converted into an algebraic discrete-time dynamic system. Then the structure of cycles of Boolean control systems is obtained as compounded cycles. Using the obtained input-state description, the structure of Boolean networks is investigated, and their attractors are revealed as nested compounded cycles, called rolling gears. This structure explains why small cycles mainly decide the behaviors of cellular networks. Some illustrative examples are presented.
引用
收藏
页码:512 / 521
页数:10
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