Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Non-Verbal Cues01:29

Non-Verbal Cues

342
Non-verbal communication extends beyond gestures and facial expressions to include vocal elements known as paralanguage. Paralanguage consists of non-verbal vocal cues such as pitch, loudness, speech rate, pauses, and non-verbal vocalizations like laughter, sighs, and moans. These elements not only accompany speech but also provide critical emotional and contextual information.The Role of Paralanguage in CommunicationParalanguage adds depth to spoken language by conveying emotions and...
342
Virtual Work01:20

Virtual Work

1.4K
The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
1.4K
Principle of Virtual Work: Problem Solving01:13

Principle of Virtual Work: Problem Solving

1.7K
The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
To apply the principle of virtual work,...
1.7K
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

770
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
770
Motor Units00:46

Motor Units

62.0K
A motor unit consists of two main components: a single efferent motor neuron (i.e., a neuron that carries impulses away from the central nervous system) and all of the muscle fibers it innervates. The motor neuron may innervate multiple muscle fibers, which are single cells, but only one motor neuron innervates a single muscle fiber.
62.0K
Motor Units01:13

Motor Units

8.3K
The motor unit is a fundamental component of the neuromuscular system and plays a crucial role in coordinating muscle contractions. It consists of a somatic motor neuron, which connects and controls multiple skeletal muscle fibers, forming a single functional segment. The axon of the motor neuron branches out and establishes synaptic connections known as neuromuscular junctions with individual muscle fibers within the motor unit.
Motor units come in different sizes, with smaller units...
8.3K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Protocol for investigating the warping of spatial experience across the blind spot to contrast predictions of the Integrated Information Theory and Predictive Processing accounts of consciousness.

PloS one·2026
Same author

Vibrotactile feedback using exposure variation analysis to reduce musculoskeletal risk in surgical simulation.

Ergonomics·2026
Same author

Visual properties of action consequences and not environments affect context-specific motor learning.

Journal of neurophysiology·2025
Same author

Measures of Implicit and Explicit Adaptation Do Not Linearly Add.

eNeuro·2024
Same author

Visuomotor adaptation across the lifespan.

PloS one·2024
Same author

Movement-goal relevant object shape properties act as poor but viable cues for the attribution of motor errors to external objects.

PloS one·2024

相关实验视频

Updated: Feb 12, 2026

Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
05:12

Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another

Published on: September 18, 2017

548.8K

使用工具作为线索,在虚拟现实中进行运动适应.

Andrew Michael King1,2, Jacob J Boulrice1,2, Shanaathanan Modchalingam1,3

  • 1Centre for Vision Research, York University.

Journal of neurophysiology
|February 10, 2026
PubMed
概括

工具使用和运动学习是复杂的. 这项研究表明,在学习新技能时,操作工具的方式,而不仅仅是它的外观,是形成单独的运动记忆的关键.

关键词:
这是双重适应.电机内存 电机内存 电机内存感官运动适应的适应.使用工具 使用工具.虚拟现实虚拟现实就是虚拟现实.

更多相关视频

Virtual Reality Tools for Assessing Unilateral Spatial Neglect: A Novel Opportunity for Data Collection
07:04

Virtual Reality Tools for Assessing Unilateral Spatial Neglect: A Novel Opportunity for Data Collection

Published on: March 10, 2021

4.6K
Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.9K

相关实验视频

Last Updated: Feb 12, 2026

Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
05:12

Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another

Published on: September 18, 2017

548.8K
Virtual Reality Tools for Assessing Unilateral Spatial Neglect: A Novel Opportunity for Data Collection
07:04

Virtual Reality Tools for Assessing Unilateral Spatial Neglect: A Novel Opportunity for Data Collection

Published on: March 10, 2021

4.6K
Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.9K

科学领域:

  • 发动机控制器的控制器
  • 人与计算机的交互
  • 认知神经科学 认知神经科学

背景情况:

  • 人类经常使用多种工具,其操作要求各不相同.
  • 了解大脑如何适应使用不同的工具对于人机交互和机器人技术至关重要.

研究的目的:

  • 研究工具特征如何影响在对立视觉运动扰乱的双重适应过程中形成不同的运动记忆.
  • 确定不同工具操作模式在支持独立内部模型形成方面的作用.

主要方法:

  • 一个沉浸式虚拟现实 (VR) 设置被用于目标任务.
  • 参与者通过使用不同颜色,形状或操作模式的虚拟工具适应对立视觉运动旋转.
  • 四个实验组进行了比较:颜色控制,运动合并,运动不合并,以及单个工具控制.

主要成果:

  • 只有运动不合群体表现出强大的双重适应和明显的后果,类似于单一工具学习.
  • 独特的工具操作模式,而不仅仅是视觉差异,对于形成单独的内部模型至关重要.
  • 与运动不合群体相比,色彩控制和运动合群体的双重适应能力受损.

结论:

  • 在传感动力适应过程中,不同的工具操作模式对于支持独立内部模型的形成和保留至关重要.
  • 这一发现对设计可适应接口和虚拟现实和机器人技术培训协议有影响.
  • 大脑根据与工具使用相关的特定行为和动态来区分运动记忆.