Central pattern generator and human locomotion in the context of referent control of motor actions

参照物 背景(考古学) 心理学 电动机控制 电动机系统 神经科学 沟通 控制理论(社会学) 计算机科学 控制(管理) 认知心理学 人工智能 生物 语言学 哲学 古生物学
作者
Anatol G. Feldman,Mindy F. Levin,Alessandro Garofolini,Daniele Piscitelli,Lei Zhang
出处
期刊:Clinical Neurophysiology [Elsevier BV]
卷期号:132 (11): 2870-2889 被引量:67
标识
DOI:10.1016/j.clinph.2021.08.016
摘要

Unperturbed human locomotion presumably results from feedforward shifts in stable body equilibrium in the environment, thus avoiding falling and subsequent catching considered in alternative theories of locomotion. Such shifts are achieved by relocation of the referent body configuration at which multiple muscle recruitment begins. Rather than being directly specified by a central pattern generator, multiple muscles are activated depending on the extent to which the body is deflected from the referent, threshold body configuration, as confirmed in previous studies. Based on the referent control theory of action and perception, solutions to classical problems in motor control are offered, including the previously unresolved problem of the integration of central and reflex influences on motoneurons and the problem of how posture and movement are related. The speed of locomotion depends on the rate of shifts in the referent body configuration. The transition from walking to running results from increasing the rate of referent shifts. It is emphasised that there is a certain hierarchy between reciprocal and co-activation of agonist and antagonist muscles during locomotion and other motor actions, which is also essential for the understanding of how locomotor speed is regulated. The analysis opens a new avenue in neurophysiological approaches to human locomotion with clinical implications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
acceleactor完成签到,获得积分10
1秒前
眼睛大的夜柳完成签到,获得积分10
1秒前
张欢馨应助jjjam采纳,获得10
1秒前
2秒前
2秒前
3秒前
wujiasheng发布了新的文献求助10
3秒前
科研通AI2S应助科研通管家采纳,获得30
4秒前
今后应助科研通管家采纳,获得10
4秒前
wanci应助科研通管家采纳,获得10
4秒前
爆米花应助Aurora采纳,获得10
4秒前
bkagyin应助科研通管家采纳,获得10
4秒前
5秒前
嘿嘿应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
搜集达人应助科研通管家采纳,获得10
5秒前
科目三应助科研通管家采纳,获得10
5秒前
6秒前
SciGPT应助科研通管家采纳,获得10
6秒前
6秒前
Zzzzzoe111发布了新的文献求助10
6秒前
7秒前
QIN123456发布了新的文献求助10
7秒前
June应助Betty采纳,获得10
8秒前
8秒前
11秒前
无糖果粒橙应助hi采纳,获得10
11秒前
lxx发布了新的文献求助10
11秒前
lraqis完成签到,获得积分20
13秒前
13秒前
14秒前
14秒前
烟花应助山泽采纳,获得10
14秒前
lraqis发布了新的文献求助10
17秒前
云梦泽发布了新的文献求助10
17秒前
17秒前
wwww完成签到,获得积分10
17秒前
Ava应助永远永远有采纳,获得10
18秒前
NexusExplorer应助沉静尔蓝采纳,获得10
18秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7584017
求助须知:如何正确求助?哪些是违规求助? 9162760
关于积分的说明 19607883
捐赠科研通 7165908
什么是DOI,文献DOI怎么找? 3266349
关于科研通互助平台的介绍 2431309
邀请新用户注册赠送积分活动 2257911