A simple state-determined model reproduces entrainment and phase-locking of human walking.

Theoretical studies and robotic experiments have shown that asymptotically stable periodic walking may emerge from nonlinear limit-cycle oscillators in the neuro-mechanical periphery. We recently reported entrainment of human gait to periodic mechanical perturbations with two essential features: 1)...

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Main Authors: Jooeun Ahn, Neville Hogan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3495952?pdf=render
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spelling doaj-672b12ac87b440ae94976071af3479b72020-11-25T01:46:41ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01711e4796310.1371/journal.pone.0047963A simple state-determined model reproduces entrainment and phase-locking of human walking.Jooeun AhnNeville HoganTheoretical studies and robotic experiments have shown that asymptotically stable periodic walking may emerge from nonlinear limit-cycle oscillators in the neuro-mechanical periphery. We recently reported entrainment of human gait to periodic mechanical perturbations with two essential features: 1) entrainment occurred only when the perturbation period was close to the original (preferred) walking period, and 2) entrainment was always accompanied by phase locking so that the perturbation occurred at the end of the double-stance phase. In this study, we show that a highly-simplified state-determined walking model can reproduce several salient nonlinear limit-cycle behaviors of human walking: 1) periodic gait that is 2) asymptotically stable; 3) entrainment to periodic mechanical perturbations only when the perturbation period is close to the model's unperturbed period; and 4) phase-locking to locate the perturbation at the end of double stance. Importantly, this model requires neither supra-spinal control nor an intrinsic self-sustaining neural oscillator such as a rhythmic central pattern generator. Our results suggest that several prominent limit-cycle features of human walking may stem from simple afferent feedback processes without significant involvement of supra-spinal control or a self-sustaining oscillatory neural network.http://europepmc.org/articles/PMC3495952?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Jooeun Ahn
Neville Hogan
spellingShingle Jooeun Ahn
Neville Hogan
A simple state-determined model reproduces entrainment and phase-locking of human walking.
PLoS ONE
author_facet Jooeun Ahn
Neville Hogan
author_sort Jooeun Ahn
title A simple state-determined model reproduces entrainment and phase-locking of human walking.
title_short A simple state-determined model reproduces entrainment and phase-locking of human walking.
title_full A simple state-determined model reproduces entrainment and phase-locking of human walking.
title_fullStr A simple state-determined model reproduces entrainment and phase-locking of human walking.
title_full_unstemmed A simple state-determined model reproduces entrainment and phase-locking of human walking.
title_sort simple state-determined model reproduces entrainment and phase-locking of human walking.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description Theoretical studies and robotic experiments have shown that asymptotically stable periodic walking may emerge from nonlinear limit-cycle oscillators in the neuro-mechanical periphery. We recently reported entrainment of human gait to periodic mechanical perturbations with two essential features: 1) entrainment occurred only when the perturbation period was close to the original (preferred) walking period, and 2) entrainment was always accompanied by phase locking so that the perturbation occurred at the end of the double-stance phase. In this study, we show that a highly-simplified state-determined walking model can reproduce several salient nonlinear limit-cycle behaviors of human walking: 1) periodic gait that is 2) asymptotically stable; 3) entrainment to periodic mechanical perturbations only when the perturbation period is close to the model's unperturbed period; and 4) phase-locking to locate the perturbation at the end of double stance. Importantly, this model requires neither supra-spinal control nor an intrinsic self-sustaining neural oscillator such as a rhythmic central pattern generator. Our results suggest that several prominent limit-cycle features of human walking may stem from simple afferent feedback processes without significant involvement of supra-spinal control or a self-sustaining oscillatory neural network.
url http://europepmc.org/articles/PMC3495952?pdf=render
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