Literature DB >> 1436478

A model for the generation of movements requiring endpoint precision.

T E Milner1.   

Abstract

A model is proposed in which movement accuracy is regulated by means of corrective actions taken at discrete intervals throughout the course of a movement. A movement, as represented by its tangential velocity profile, cna be decomposed into a series of one or more submovements. Each submovement consists of a prototype velocity profile which can be scaled in magnitude and duration. For planar two-joint movements, we demonstrate that these submovements can be mathematically represented either in terms of velocity profiles or in terms of the underlying joint torque profiles. In either case, the submovements superimpose linearly to produce the composite movement. The model provides a very good fit to tangential velocity profiles recorded from human subjects during three-dimensional arm movements with constraints on accuracy and speed. The model assumes that when a submovement is present, its onset is associated with a change in the direction of the hand path and/or a zero crossing or inflection in at least one of the components of the velocity vector. The model is consistent with a strategy in which precision is achieved by periodic discrete actions which redirect the moving arm in order to bring the hand closer to the target. Since submovements were also observed in slow movements where accuracy constraints had been relaxed, we hypothesize that the strategy of superimposing a series of submovements to make one composite movement may be a general one. We suggest that it would be particularly appropriate for the process of learning a new motor skill.

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Year:  1992        PMID: 1436478     DOI: 10.1016/0306-4522(92)90113-g

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  46 in total

1.  Event identification in movement recordings by means of qualitative patterns.

Authors:  Eric Fimbel; Anne Sophie Dubarry; Maxime Philibert; Anne Beuter
Journal:  Neuroinformatics       Date:  2003

2.  How is a motor skill learned? Change and invariance at the levels of task success and trajectory control.

Authors:  Lior Shmuelof; John W Krakauer; Pietro Mazzoni
Journal:  J Neurophysiol       Date:  2012-04-18       Impact factor: 2.714

3.  Known and unexpected constraints evoke different kinematic, muscle, and motor cortical neuron responses during locomotion.

Authors:  Erik E Stout; Mikhail G Sirota; Irina N Beloozerova
Journal:  Eur J Neurosci       Date:  2015-10-24       Impact factor: 3.386

4.  How does visuospatial attention modulate motor preparation during gait initiation?

Authors:  Céline Tard; Kathy Dujardin; Amandine Girard; Marion Debaughrien; Philippe Derambure; Luc Defebvre; Arnaud Delval
Journal:  Exp Brain Res       Date:  2015-09-10       Impact factor: 1.972

5.  Deciding when and how to correct a movement: discrete submovements as a decision making process.

Authors:  Alon Fishbach; Stephane A Roy; Christina Bastianen; Lee E Miller; James C Houk
Journal:  Exp Brain Res       Date:  2006-08-30       Impact factor: 1.972

6.  Systematic changes in the duration and precision of interception in response to variation of amplitude and effector size.

Authors:  James R Tresilian; Annaliese Plooy
Journal:  Exp Brain Res       Date:  2005-11-24       Impact factor: 1.972

7.  Kinematic properties of on-line error corrections in the monkey.

Authors:  Alon Fishbach; Stephane A Roy; Christina Bastianen; Lee E Miller; James C Houk
Journal:  Exp Brain Res       Date:  2005-06-07       Impact factor: 1.972

8.  Task-dependent asymmetries in the utilization of proprioceptive feedback for goal-directed movement.

Authors:  Daniel J Goble; Susan H Brown
Journal:  Exp Brain Res       Date:  2007-02-13       Impact factor: 1.972

9.  Submovements during pointing movements in Parkinson's disease.

Authors:  Natalia Dounskaia; Laetitia Fradet; Gyusung Lee; Berta C Leis; Charles H Adler
Journal:  Exp Brain Res       Date:  2008-12-02       Impact factor: 1.972

10.  Movement smoothness changes during stroke recovery.

Authors:  Brandon Rohrer; Susan Fasoli; Hermano Igo Krebs; Richard Hughes; Bruce Volpe; Walter R Frontera; Joel Stein; Neville Hogan
Journal:  J Neurosci       Date:  2002-09-15       Impact factor: 6.167

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