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阐明耦合振荡器动力学的相位响应曲线。

Phase response curves elucidating the dynamics of coupled oscillators.

作者信息

Granada A, Hennig R M, Ronacher B, Kramer A, Herzel H

机构信息

Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Berlin, Germany.

出版信息

Methods Enzymol. 2009;454:1-27. doi: 10.1016/S0076-6879(08)03801-9.

Abstract

Phase response curves (PRCs) are widely used in circadian clocks, neuroscience, and heart physiology. They quantify the response of an oscillator to pulse-like perturbations. Phase response curves provide valuable information on the properties of oscillators and their synchronization. This chapter discusses biological self-sustained oscillators (circadian clock, physiological rhythms, etc.) in the context of nonlinear dynamics theory. Coupled oscillators can synchronize with different frequency ratios, can generate toroidal dynamics (superposition of independent frequencies), and may lead to deterministic chaos. These nonlinear phenomena can be analyzed with the aid of a phase transition curve, which is intimately related to the phase response curve. For illustration purposes, this chapter discusses a model of circadian oscillations based on a delayed negative feedback. In a second part, the chapter provides a step-by-step recipe to measure phase response curves. It discusses specifications of this recipe for circadian rhythms, heart rhythms, neuronal spikes, central pattern generators, and insect communication. Finally, it stresses the predictive power of measured phase response curves. PRCs can be used to quantify the coupling strength of oscillations, to classify oscillator types, and to predict the complex dynamics of periodically driven oscillations.

摘要

相位响应曲线(PRCs)在生物钟学、神经科学和心脏生理学中被广泛应用。它们量化了振荡器对脉冲状扰动的响应。相位响应曲线提供了有关振荡器特性及其同步的有价值信息。本章在非线性动力学理论的背景下讨论生物自持振荡器(生物钟、生理节律等)。耦合振荡器可以以不同的频率比同步,可以产生环形动力学(独立频率的叠加),并且可能导致确定性混沌。这些非线性现象可以借助与相位响应曲线密切相关的相变曲线进行分析。为了说明目的,本章讨论基于延迟负反馈的昼夜节律振荡模型。在第二部分中,本章提供了测量相位响应曲线的分步方法。它讨论了该方法在昼夜节律、心律、神经元尖峰、中枢模式发生器和昆虫通讯方面的具体要求。最后,它强调了测量得到的相位响应曲线的预测能力。相位响应曲线可用于量化振荡的耦合强度、对振荡器类型进行分类以及预测周期性驱动振荡的复杂动力学。

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