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

Takanori Uchiyama, Kenzo Akazawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Pages394
Number of pages1
Volume1
ISBN (Print)0780356756
Publication statusPublished - 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: 1999 Oct 131999 Oct 16

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period99/10/1399/10/16

Fingerprint

Force control
Muscle
Neural networks
Refractory materials

ASJC Scopus subject areas

  • Bioengineering

Cite this

Uchiyama, T., & Akazawa, K. (1999). Force-firing rate relation of neural network model for muscle force control. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 1, pp. 394). IEEE.

Force-firing rate relation of neural network model for muscle force control. / Uchiyama, Takanori; Akazawa, Kenzo.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 1 IEEE, 1999. p. 394.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Uchiyama, T & Akazawa, K 1999, Force-firing rate relation of neural network model for muscle force control. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 1, IEEE, pp. 394, Proceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS), Atlanta, GA, USA, 99/10/13.
Uchiyama T, Akazawa K. Force-firing rate relation of neural network model for muscle force control. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 1. IEEE. 1999. p. 394
Uchiyama, Takanori ; Akazawa, Kenzo. / Force-firing rate relation of neural network model for muscle force control. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 1 IEEE, 1999. pp. 394
@inproceedings{5085b8e166824543b18afe3c8c4dece3,
title = "Force-firing rate relation of neural network model for muscle force control",
abstract = "A neural network model for muscle force control was constructed. It contained single motor cortex output cell, actual number of α motoneurons, Renshaw cells and muscle unit. The relation between muscle force and firing rate of α motoneurons of the model was investigated. The relation depended on the absolute refractory time of α motoneurons, RIPSP by Renshaw cells and firing pattern of Renshaw cells. The model showed the force-firing rate relation which was almost similar to that observed in human skeletal muscle.",
author = "Takanori Uchiyama and Kenzo Akazawa",
year = "1999",
language = "English",
isbn = "0780356756",
volume = "1",
pages = "394",
booktitle = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
publisher = "IEEE",

}

TY - GEN

T1 - Force-firing rate relation of neural network model for muscle force control

AU - Uchiyama, Takanori

AU - Akazawa, Kenzo

PY - 1999

Y1 - 1999

N2 - A neural network model for muscle force control was constructed. It contained single motor cortex output cell, actual number of α motoneurons, Renshaw cells and muscle unit. The relation between muscle force and firing rate of α motoneurons of the model was investigated. The relation depended on the absolute refractory time of α motoneurons, RIPSP by Renshaw cells and firing pattern of Renshaw cells. The model showed the force-firing rate relation which was almost similar to that observed in human skeletal muscle.

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

UR - http://www.scopus.com/inward/record.url?scp=0033312591&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033312591&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0033312591

SN - 0780356756

VL - 1

SP - 394

BT - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

PB - IEEE

ER -