NEURAL NETWORK MODEL FOR CONTROL OF MUSCLE FORCE BASED ON THE SIZE PRINCIPLE OF MOTOR UNIT

被引：13

作者：

AKAZAWA, K

KATO, K

机构：

[1] Department of Electrical Engineering, Faculty of Engineering, Osaka University

来源：

PROCEEDINGS OF THE IEEE | 1990年 / 78卷 / 09期

关键词：

D O I：

10.1109/5.58328

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A neural network model consisting of a single motor cortex output cell, a motoneurons, Renshaw cells, and muscle units is proposed. Linear relations between motor cortex output and force output observed in monkeys as well as firing rate versus force relations in human skeletal muscles are explained by computer simulations. It is suggested that Renshaw recurrent inhibition has the effect of linearizing the gain between motor cortex output and force output, and confirmed that the orderly recruitment of motor units is governed by unit size in accordance with a classical observation. © 1990 IEEE

引用

页码：1531 / 1535

页数：5

共 16 条

[1]

AKAZAWA K, 1989, P INT JOINT C NEUR N, P1739

[2] FUNCTIONAL CLASSES OF PRIMATE CORTICOMOTONEURONAL CELLS AND THEIR RELATION TO ACTIVE FORCE [J].