Dynamics of Coupled Heterogeneous Oscillators with Application to Biological Systems

耦合异质振荡器动力学及其在生物系统中的应用

• 批准号: 1727948
• 负责人: Francesco Sorrentino
• 金额: $ 42.5万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2022-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1727948&HistoricalAwards=false
• 关键词: Dynamics; Coupled; Heterogeneous; Oscillators; Application

This study will examine the behavior that arises from the interactions of oscillating systems with fundamentally different underlying physical principles. The oscillators have different natural rates and wave shapes. The work asks how collective behavior is sensitive to changes in the oscillators and the communications between oscillators. The study of coupled nonlinear oscillators can lead to a deep understanding of biological systems. Physically dissimilar biological oscillators are of particular interest. Other biological oscillators exhibit complex waveforms, such as the spiking of neurons. Despite the prevalence of dissimilar interacting biological systems, there have been few related experiments. Most studies examine homogeneous oscillators within one system type. Students will be trained in understanding, modeling, simulating, and experimentally investigating coupled physically dissimilar systems. This project will perform experiments that couple dissimilar physical oscillator systems. Through these experiments, strengths and weaknesses of reduced-variable models will be revealed that may not be apparent in systems of similar oscillators. Reduced-variable models are important to the analysis of biological oscillators, thus, insights into the models are important. The systems to be studied have different oscillatory dynamics with analogous biological modes; like the heart, an opto-mechanical oscillator can exhibit multiple spatial modes of oscillation while the lungs and an opto-electronic oscillator cannot. Unlike biological oscillators, there are accurate mathematical models for these dissimilar oscillators. Thus, this work will create a flexible experimental proxy for interactions between dissimilar biological systems, while providing an opportunity for theoretical advancements in the study of synchronization, delayed coupling, and interacting oscillators with different physical properties.

这项研究将研究具有根本不同的基本物理原理的振荡系统相互作用所产生的行为。振荡器具有不同的自然速率和波形。这项工作询问集体行为如何对振荡器的变化以及振荡器之间的通信敏感。耦合非线性振荡器的研究可以加深对生物系统的理解。物理上不同的生物振荡器特别令人感兴趣。其他生物振荡器表现出复杂的波形，例如神经元的尖峰。尽管不同的相互作用的生物系统普遍存在，但相关的实验却很少。大多数研究都检查一种系统类型内的同质振荡器。学生将接受理解、建模、模拟和实验研究耦合物理异质系统的培训。该项目将进行耦合不同物理振荡器系统的实验。通过这些实验，将揭示减变量模型的优点和缺点，而这些优点和缺点在类似振荡器的系统中可能并不明显。减少变量模型对于生物振荡器的分析很重要，因此，深入了解模型也很重要。 要研究的系统具有不同的振荡动力学和类似的生物模式；与心脏一样，光机械振荡器可以表现出多种空间振荡模式，而肺和光电振荡器则不能。与生物振荡器不同，这些不同的振荡器有精确的数学模型。因此，这项工作将为不同生物系统之间的相互作用创建一个灵活的实验代理，同时为同步、延迟耦合和具有不同物理特性的相互作用振荡器的研究提供理论进步的机会。

项目成果

Symmetries and cluster synchronization in multilayer networks

• DOI: 10.1038/s41467-020-16343-0
• 发表时间: 2020-06-23
• 期刊: NATURE COMMUNICATIONS
• 影响因子: 16.6
• 作者: Della Rossa, Fabio;Pecora, Louis;Sorrentino, Francesco
• 通讯作者: Sorrentino, Francesco

Stability analysis of reservoir computers dynamics via Lyapunov functions

通过 Lyapunov 函数进行油藏计算机动力学稳定性分析

• DOI: 10.1063/1.5123733
• 发表时间: 2019
• 期刊: Chaos: An Interdisciplinary Journal of Nonlinear Science
• 作者: Shirin, Afroza;Klickstein, Isaac S.;Sorrentino, Francesco
• 通讯作者: Sorrentino, Francesco

Detection and Sensing Using Coupled Oscillatory Systems at the Synchronization Edge

• DOI: 10.1109/jsen.2020.3002933
• 发表时间: 2020-11
• 期刊: IEEE Sensors Journal
• 影响因子: 4.3
• 作者: Ke Huang;M. Hossein-Zadeh

Controlling consensus in networks with symmetries

• DOI: 10.1080/00207179.2021.1946157
• 发表时间: 2020-05
• 期刊: International Journal of Control
• 影响因子: 2.1
• 作者: F. L. Iudice;A. D. Meglio;F. D. Rossa;F. Sorrentino

Selecting energy efficient inputs using graph structure

• DOI: 10.1080/00207179.2021.2022218
• 发表时间: 2022-01-06
• 期刊: INTERNATIONAL JOURNAL OF CONTROL
• 影响因子: 2.1
• 作者: Klickstein, Isaac;Sorrentino, Francesco
• 通讯作者: Sorrentino, Francesco