Multiple Steady States is Beneficial to the Generation of the Correlated Dynamics in Boolean Networks
It has been known for quite some time that the 1// dynamics play a vital role in living organisms. Recently we studied the long-range correlated dynamics of Boolean networks. Our results show that some networks can present the 1// dynamics while others cant. An important question is what kind of networks can generate such dynamics? In this paper, we investigate this issue based on the attractor structure of Boolean networks. We find that networks with multiple attractors prefer to generate the 1/f dynamics. As real genetic regulatory networks generally have more than one stable states to cope with environment variations, the existing models of eight real systems also support this conclusion.
Boolean network Dynamic behavior Long-range correlation Attractor
UN Liu Peng Xu Xianghong Wang Wenbin Liu
Department of Physics and Electronic information engineering, Wenzhou University Wenzhou 325035, Zhejiang, China
国际会议
杭州
英文
59-64
2012-04-02（万方平台首次上网日期，不代表论文的发表时间）