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Chin. Phys. B, 2018, Vol. 27(1): 018901    DOI: 10.1088/1674-1056/27/1/018901
Special Issue: TOPICAL REVIEW — Soft matter and biological physics
TOPICAL REVIEW—Soft matter and biological physics Prev  

Dominant phase-advanced driving analysis of self-sustained oscillations in biological networks

Zhi-gang Zheng(郑志刚)1,2, Yu Qian(钱郁)3
1 Institute of Systems Science, Huaqiao University, Xiamen 361021, China;
2 College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China;
3 Nonlinear Research Institute, Baoji University of Arts and Sciences, Baoji 721007, China
Abstract  

Oscillatory behaviors can be ubiquitously observed in various systems. Biological rhythms are significant in governing living activities of all units. The emergence of biological rhythms is the consequence of large numbers of units. In this paper we discuss several important examples of sustained oscillations in biological media, where the unit composed in the system does not possess the oscillation behavior. The dominant phase-advanced driving method is applied to study the skeletons and oscillatory organizing motifs in excitable networks and gene regulatory networks.

Keywords:  self-sustained oscillation      complex networks      gene networks      dominant phase-advanced driving approach  
Received:  09 September 2017      Revised:  30 October 2017      Published:  05 January 2018
PACS:  89.75.Kd (Patterns)  
  05.65.+b (Self-organized systems)  
  89.75.Fb (Structures and organization in complex systems)  
Fund: 

Project supported by the National Natural Science Foundation of China (Grant Nos. 11475022 and 11675001) and the Scientific Research Funds of Huaqiao University, China (Grant No. 15BS401).

Corresponding Authors:  Zhi-gang Zheng, Yu Qian     E-mail:  zgzheng@hqu.edu.cn;qianyu0272@163.com

Cite this article: 

Zhi-gang Zheng(郑志刚), Yu Qian(钱郁) Dominant phase-advanced driving analysis of self-sustained oscillations in biological networks 2018 Chin. Phys. B 27 018901

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