Force-firing rate relation of neural network model for muscle force control

Author

Uchiyama, Takanori ; Akazawa, Kenzo

Author_Institution

Dept. of Appl. Phys., Keio Univ., Yokohama, Japan

Volume

1

fYear

1999

fDate

1999

Abstract

A neural network model for muscle force control was constructed. It contained a single motor cortex output cell, the actual number of α motoneurons, Renshaw cells and a muscle unit. The relation between muscle force and firing rate of the α motoneurons of the model was investigated. The relation depended on the absolute refractory time of α motoneurons, RIPSP by the Renshaw cells and the firing pattern of the Renshaw cells. The model showed a force-firing rate relation which was almost similar to that observed in human skeletal muscle

Keywords

biocontrol; biomechanics; force control; muscle; neural nets; physiological models; α motoneurons; Renshaw cells; absolute refractory time; force-firing rate relation; human skeletal muscle; muscle force control; muscle unit; neural network model; single motor cortex output cell; Brain modeling; Fires; Force control; Humans; Muscles; Neural networks; Tendons;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.802471

Filename

802471