Cheng Daizhan
Institute of Systems Science, Chinese Academy of Sciences, Beijing 100190, China.
IEEE Trans Neural Netw. 2009 Mar;20(3):512-21. doi: 10.1109/TNN.2008.2011359. Epub 2009 Feb 13.
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.
本文通过输入-状态结构研究布尔网络的结构。利用作者提出的代数形式,将布尔网络基于逻辑的输入-状态动态(称为布尔控制网络)转化为代数离散时间动态系统。然后将布尔控制系统的循环结构作为复合循环得到。利用所得到的输入-状态描述,研究布尔网络的结构,并揭示其吸引子为嵌套复合循环,称为滚动齿轮。这种结构解释了为什么小循环主要决定细胞网络的行为。给出了一些示例。