Evidence map›Paper›PMID 37207037›Full record

ArticleSIAM journal on applied dynamical systems2021

Shape versus timing: linear responses of a limit cycle with hard boundaries under instantaneous and static perturbation.

Yangyang Wang, Jeffrey P Gill, Hillel J Chiel, Peter J Thomas

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Article in SIAM journal on applied dynamical systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yangyang WangDepartment of Mathematics, The University of Iowa, Iowa City, IA 52242, USA.
Jeffrey P GillDepartment of Biology, Case Western Reserve University, Cleveland, OH 44106, USA.
Hillel J ChielDepartments of Biology, Neurosciences and Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
Peter J ThomasDepartments of Biology, Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University, Cleveland, OH 44106, USA.

Funding

A novel approach to analyzing functional connectomics and combinatorial control in a tractable small-brain closed-loop systemRF1NS118606 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BYRNE, JOHN H, CHESTEK, CYNTHIA ANNE · 2020 to 2020
$3.0M
A novel approach to analyzing functional connectomics and combinatorial control in a tractable small-brain closed-loop systemR01NS118606 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BYRNE, JOHN H, CHESTEK, CYNTHIA ANNE · 2023 to 2024
$1.7M
NINDS NIH HHS R01 NS118606NINDS NIH HHS RF1 NS118606
6 · The paper itself

Abstract

When dynamical systems that produce rhythmic behaviors operate within hard limits, they may exhibit limit cycles with sliding components, that is, closed isolated periodic orbits that make and break contact with a constraint surface. Examples include heel-ground interaction in locomotion, firing rate rectification in neural networks, and stick-slip oscillators. In many rhythmic systems, robustness against external perturbations involves response of both the shape and the timing of the limit cycle trajectory. The existing methods of infinitesimal phase response curve (iPRC) and variational analysis are well established for quantifying changes in timing and shape, respectively, for smooth systems. These tools have recently been extended to nonsmooth dynamics with transversal crossing boundaries. In this work, we further extend the iPRC method to nonsmooth systems with sliding components, which enables us to make predictions about the synchronization properties of weakly coupled stick-slip oscillators. We observe a new feature of the isochrons in a planar limit cycle with hard sliding boundaries: a nonsmooth kink in the asymptotic phase function, originating from the point at which the limit cycle smoothly departs the constraint surface, and propagating away from the hard boundary into the interior of the domain. Moreover, the classical variational analysis neglects timing information and is restricted to instantaneous perturbations. By defining the "infinitesimal shape response curve" (iSRC), we incorporate timing sensitivity of an oscillator to describe the shape response of this oscillator to parametric perturbations. In order to extract timing information, we also develop a "local timing response curve" (lTRC) that measures the timing sensitivity of a limit cycle within any given region. We demonstrate in a specific example that taking into account local timing sensitivity in a nonsmooth system greatly improves the accuracy of the iSRC over global timing analysis given by the iPRC.

Identifiers

PMID37207037
PMCPMC10194846

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.