Literature DB >> 6502203

An organizing principle for a class of voluntary movements.

N Hogan.   

Abstract

This paper presents a mathematical model which predicts both the major qualitative features and, within experimental error, the quantitative details of a class of perturbed and unperturbed large-amplitude, voluntary movements performed at intermediate speed by primates. A feature of the mathematical model is that a concise description of the behavioral organization of the movement has been formulated which is separate and distinct from the description of the dynamics of movement execution. Based on observations of voluntary movements in primates, the organization has been described as though the goal were to make the smoothest movement possible under the circumstances, i.e., to minimize the accelerative transients. This has been formalized by using dynamic optimization theory to determine the movement which minimizes the rate of change of acceleration (jerk) of the limb. Based on observations of muscle mechanics, the concept of a "virtual position" determined by the active states of the muscles is rigorously defined as one of the mechanical consequences of the neural commands to the muscles. This provides insight into the mechanics of perturbed and unperturbed movements and is a useful aid in the separation of the descriptions of movement organization and movement execution.

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Year:  1984        PMID: 6502203      PMCID: PMC6564718     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  164 in total

1.  The spectral main sequence of human saccades.

Authors:  M R Harwood; L E Mezey; C M Harris
Journal:  J Neurosci       Date:  1999-10-15       Impact factor: 6.167

Review 2.  Neuromuscular control: introduction and overview.

Authors:  J L van Leeuwen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-05-29       Impact factor: 6.237

3.  Human arm movements described by a low-dimensional superposition of principal components.

Authors:  T D Sanger
Journal:  J Neurosci       Date:  2000-02-01       Impact factor: 6.167

4.  Obstacle avoidance and a perturbation sensitivity model for motor planning.

Authors:  P N Sabes; M I Jordan
Journal:  J Neurosci       Date:  1997-09-15       Impact factor: 6.167

5.  Prehension synergies: trial-to-trial variability and hierarchical organization of stable performance.

Authors:  Jae K Shim; Mark L Latash; Vladimir M Zatsiorsky
Journal:  Exp Brain Res       Date:  2003-07-26       Impact factor: 1.972

Review 6.  Role of uncertainty in sensorimotor control.

Authors:  Robert J van Beers; Pierre Baraduc; Daniel M Wolpert
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

7.  Movement sway: changes in postural sway during voluntary shifts of the center of pressure.

Authors:  Mark L Latash; Sandra S Ferreira; Silvana A Wieczorek; Marcos Duarte
Journal:  Exp Brain Res       Date:  2003-04-12       Impact factor: 1.972

Review 8.  Optimality principles in sensorimotor control.

Authors:  Emanuel Todorov
Journal:  Nat Neurosci       Date:  2004-09       Impact factor: 24.884

9.  Vector field approximation: a computational paradigm for motor control and learning.

Authors:  F A Mussa-Ivaldi; S F Giszter
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

10.  Basic functions of variability of simple pre-planned movements.

Authors:  S R Gutman; G L Gottlieb
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

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