DocumentCode :
3289034
Title :
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
Link To Document :
بازگشت