Literature DB >> 14988051

A linked muscular activation model for movement generation and control.

W G Darling1, J D Cooke.   

Abstract

A new model for movement control is presented which incorporates characteristics of impulse-variability and mass-spring models. Movements in the model were controlled with phasic torque impulses in agonist and antagonist muscles and a tonic agonist torque. Characteristics of the phasic agonist and antagonist torque profiles were based on observed properties of movement-related EMGs and muscle isometric torques. Variability of the phasic impulses depended on impulse magnitude as in impulse-variability models. The model therefore predicted a speed-accuracy tradeoff for limb movement. The time of onset and magnitude of the antagonist torque depended on the magnitude of the preceding agonist torque as indicated in studies of movement-related EMGs. This led to the new concept of linkage between the agonist and antagonist muscle forces which was shown to be important for reducing variability of fast movements. Progressive development of linkage during practice could explain the previous findings of decreased movement variability with practice coupled with increased variability of movement-related EMGs. It was concluded that an inherently variable motor system deals with the variability associated with generation of large muscle forces by linking the forces produced by opposing muscles. In this way, variability in net joint torques and in movements can be decreased without the need for the nervous system to closely regulate the individual torques.

Year:  1987        PMID: 14988051     DOI: 10.1080/00222895.1987.10735416

Source DB:  PubMed          Journal:  J Mot Behav        ISSN: 0022-2895            Impact factor:   1.328


  6 in total

1.  Motor variability within a multi-effector system: experimental and analytical studies of multi-finger production of quick force pulses.

Authors:  Simon R Goodman; Jae Kun Shim; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2005-02-03       Impact factor: 1.972

2.  Reciprocal and coactivation commands for fast wrist movements.

Authors:  M F Levin; A G Feldman; T E Milner; Y Lamarre
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

3.  A new method of fitting and analysis of simple uni-joint arm movements.

Authors:  S Mescheriakov; G Holzmüller; E Molokanova; M Berger
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1996

4.  Kinematic variability of grasp movements as a function of practice and movement speed.

Authors:  W G Darling; K J Cole; J H Abbs
Journal:  Exp Brain Res       Date:  1988       Impact factor: 1.972

5.  Kinematic description of variability of fast movements: analytical and experimental approaches.

Authors:  S R Gutman; M L Latash; G L Almeida; G L Gottlieb
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

6.  Movement trajectory smoothness is not associated with the endpoint accuracy of rapid multi-joint arm movements in young and older adults.

Authors:  Brach Poston; Arend W A Van Gemmert; Siddharth Sharma; Somesh Chakrabarti; Shahrzad H Zavaremi; George Stelmach
Journal:  Acta Psychol (Amst)       Date:  2013-04-10
  6 in total

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