振荡(细胞信号)
非正面反馈
正面反馈
非线性系统
拓扑(电路)
反馈回路
控制理论(社会学)
节点(物理)
波峰
振幅
物理
统计物理学
计算机科学
数学
控制(管理)
量子力学
电压
遗传学
计算机安全
组合数学
人工智能
电气工程
生物
工程类
作者
Jun Jin,Fei Xu,Zhilong Liu,Hong Qi,Chenggui Yao,Jianwei Shuai,Xiang Li
出处
期刊:Physical review
日期:2023-12-26
卷期号:108 (6)
被引量:4
标识
DOI:10.1103/physreve.108.064412
摘要
Biphasic amplitude dynamics (BAD) of oscillation have been observed in many biological systems. However, the specific topology structure and regulatory mechanisms underlying these biphasic amplitude dynamics remain elusive. Here, we searched all possible two-node circuit topologies and identified the core oscillator that enables robust oscillation. This core oscillator consists of a negative feedback loop between two nodes and a self-positive feedback loop of the input node, which result in the fast and slow dynamics of the two nodes, thereby achieving relaxation oscillation. Landscape theory was employed to study the stochastic dynamics and global stability of the system, allowing us to quantitatively describe the diverse positions and sizes of the Mexican hat. With increasing input strength, the size of the Mexican hat exhibits a gradual increase followed by a subsequent decrease. The self-activation of input node and the negative feedback on input node, which dominate the fast dynamics of the input node, were observed to regulate BAD in a bell-shaped manner. Both deterministic and statistical analysis results reveal that BAD is characterized by the linear and nonlinear dependence of the oscillation trough and crest on the input strength. In addition, combining with computational and theoretical analysis, we addressed that the linear response of trough to input is predominantly governed by the negative feedback, while the nonlinear response of crest is jointly regulated by the negative feedback loop and the self-positive feedback loop within the oscillator. Overall, this study provides a natural and physical basis for comprehending the occurrence of BAD in oscillatory systems, yielding guidance for the design of BAD in synthetic biology applications.
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