中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Input-State Approach to Boolean Networks

文献类型:期刊论文

作者Cheng, Daizhan
刊名IEEE TRANSACTIONS ON NEURAL NETWORKS
出版日期2009-03-01
卷号20期号:3页码:512-521
关键词Algebraic form input-state structure invariant subspace network transition matrix
ISSN号1045-9227
DOI10.1109/TNN.2008.2011359
英文摘要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.
语种英语
WOS记录号WOS:000263831800012
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/8482]  
专题系统科学研究所
通讯作者Cheng, Daizhan
作者单位Chinese Acad Sci, Inst Syst Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Cheng, Daizhan. Input-State Approach to Boolean Networks[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS,2009,20(3):512-521.
APA Cheng, Daizhan.(2009).Input-State Approach to Boolean Networks.IEEE TRANSACTIONS ON NEURAL NETWORKS,20(3),512-521.
MLA Cheng, Daizhan."Input-State Approach to Boolean Networks".IEEE TRANSACTIONS ON NEURAL NETWORKS 20.3(2009):512-521.

入库方式: OAI收割

来源:数学与系统科学研究院

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