A model for neural control of gradation of muscle force.

Abstract:

:A mathematical muscle model is presented that relates neural control signals linearly to muscle force without violating important known physiological constraints, such as the size-principle (Henneman and Mendell 1981) and non-linear twitch summation (Burke et al. 1976). This linearity implies that the neural control signals (defined as a weighted sum of activities in a nerve bundle) can be interpreted as the internal representation of total muscle force. The model allows for different relative contributions from the two force-grading mechanisms, i.e. the recruitment of motor units and the modulation of their firing frequency. It can therefore be applied to a variety of (distal and proximal) muscles. Furthermore, it permits simple mechanisms for controlling muscle force, e.g. in superposed motor tasks. The model confirms our intuitive notion that a weighted sum of activities in a nerve bundle can directly represent an external controlled variable, which in this case is exerted muscle force.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Tax AA,Denier van der Gon JJ

doi

10.1007/BF00206220

subject

Has Abstract

pub_date

1991-01-01 00:00:00

pages

227-34

issue

4

eissn

0340-1200

issn

1432-0770

journal_volume

65

pub_type

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