Literature DB >> 17925251

The neuromechanical tuning hypothesis.

Arthur Prochazka1, Sergiy Yakovenko.   

Abstract

Simulations performed with neuromechanical models are providing insight into the neural control of locomotion that would be hard if not impossible to obtain in any other way. We first discuss the known properties of the neural mechanisms controlling locomotion, with a focus on mammalian systems. The rhythm-generating properties of central pattern generators (CPGs) are discussed in light of results indicating that cycle characteristics may be preset by tonic drive to spinal interneuronal networks. We then describe neuromechanical simulations that have revealed some basic rules of interaction between CPGs, sensory-mediated switching mechanisms and the biomechanics of locomotor movements. We posit that the spinal CPG timer and the sensory-mediated switch operate in parallel, the former being driven primarily by descending inputs and the latter by the kinematics. The CPG timer produces extensor and flexor phase durations, which covary along specific lines in a plot of phase- versus cycle-duration. We coined the term "phase-duration characteristics" to describe such plots. Descending input from higher centers adjusts the operating points on the phase-duration characteristics according to anticipated biomechanical requirements. In well-predicted movements, CPG-generated phase durations closely match those required by the kinematics, minimizing the corrections in phase duration required of the sensory switching mechanism. We propose the term "neuromechanical tuning" to describe this process of matching the CPG to the kinematics.

Entities:  

Mesh:

Year:  2007        PMID: 17925251     DOI: 10.1016/S0079-6123(06)65016-4

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  15 in total

1.  Motor circuit-specific burst patterns drive different muscle and behavior patterns.

Authors:  Florian Diehl; Rachel S White; Wolfgang Stein; Michael P Nusbaum
Journal:  J Neurosci       Date:  2013-07-17       Impact factor: 6.167

Review 2.  Neurophysiology and neural engineering: a review.

Authors:  Arthur Prochazka
Journal:  J Neurophysiol       Date:  2017-05-31       Impact factor: 2.714

3.  Model of a bilateral Brown-type central pattern generator for symmetric and asymmetric locomotion.

Authors:  Anton Sobinov; Sergiy Yakovenko
Journal:  J Neurophysiol       Date:  2017-11-29       Impact factor: 2.714

4.  Fast muscle responses to an unexpected foot-in-hole scenario, evoked in the context of prior knowledge of the potential perturbation.

Authors:  Masahiro Shinya; Shinya Masahiro; Shingo Oda; Oda Shingo
Journal:  Exp Brain Res       Date:  2010-04-23       Impact factor: 1.972

5.  A Perturbation Mechanism for Investigations of Phase-Dependent Behavior in Human Locomotion.

Authors:  Dario J Villarreal; David Quintero; Robert D Gregg
Journal:  IEEE Access       Date:  2016-02-29       Impact factor: 3.367

6.  Neuromechanical simulation.

Authors:  Donald H Edwards
Journal:  Front Behav Neurosci       Date:  2010-07-14       Impact factor: 3.558

7.  A model for the transfer of control from the brain to the spinal cord through synaptic learning.

Authors:  Preeti Sar; Hartmut Geyer
Journal:  J Comput Neurosci       Date:  2020-10-02       Impact factor: 1.621

8.  The flexion synergy, mother of all synergies and father of new models of gait.

Authors:  Jacques Duysens; Friedl De Groote; Ilse Jonkers
Journal:  Front Comput Neurosci       Date:  2013-03-13       Impact factor: 2.380

9.  Feedback from peripheral musculature to central pattern generator in the neurogenic heart of the crab Callinectes sapidus: role of mechanosensitive dendrites.

Authors:  Keyla García-Crescioni; Timothy J Fort; Estee Stern; Vladimir Brezina; Mark W Miller
Journal:  J Neurophysiol       Date:  2009-10-14       Impact factor: 2.974

10.  Evidence for a time-invariant phase variable in human ankle control.

Authors:  Robert D Gregg; Elliott J Rouse; Levi J Hargrove; Jonathon W Sensinger
Journal:  PLoS One       Date:  2014-02-18       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.