Wilson Dan, Ermentrout Bard
Department of Mathematics, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
J Math Biol. 2018 Jan;76(1-2):37-66. doi: 10.1007/s00285-017-1141-6. Epub 2017 May 25.
The applicability of phase models is generally limited by the constraint that the dynamics of a perturbed oscillator must stay near its underlying periodic orbit. Consequently, external perturbations must be sufficiently weak so that these assumptions remain valid. Using the notion of isostables of periodic orbits to provide a simplified coordinate system from which to understand the dynamics transverse to a periodic orbit, we devise a strategy to correct for changing phase dynamics for locations away from the limit cycle. Consequently, these corrected phase dynamics allow for perturbations of larger magnitude without invalidating the underlying assumptions of the reduction. The proposed reduction strategy yields a closed set of equations and can be applied to periodic orbits embedded in arbitrarily high dimensional spaces. We illustrate the utility of this strategy in two models with biological relevance. In the first application, we find that an optimal control strategy for modifying the period of oscillation can be improved with the corrected phase reduction. In the second, the corrected phase reduced dynamics are used to understand adaptation and memory effects resulting from past perturbations.
相位模型的适用性通常受到这样的限制,即受扰振荡器的动力学必须保持在其基础周期轨道附近。因此,外部扰动必须足够弱,以便这些假设仍然有效。利用周期轨道的等稳线概念来提供一个简化的坐标系,从中理解垂直于周期轨道的动力学,我们设计了一种策略来校正远离极限环位置处变化的相位动力学。因此,这些校正后的相位动力学允许更大幅度的扰动,而不会使约化的基础假设无效。所提出的约化策略产生了一组封闭的方程,并且可以应用于嵌入任意高维空间的周期轨道。我们在两个具有生物学相关性的模型中说明了这种策略的实用性。在第一个应用中,我们发现校正后的相位约化可以改进用于改变振荡周期的最优控制策略。在第二个应用中,校正后的相位约化动力学用于理解过去扰动产生的适应和记忆效应。