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

Hierarchy of Motor Control01:18

Hierarchy of Motor Control

3.5K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
3.5K
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.3K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.3K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

140
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
140
Mason's Rule01:20

Mason's Rule

474
Mason's rule is a powerful tool in control systems and signal processing. It simplifies the calculation of transfer functions from signal-flow graphs. This method leverages various elements, including loop gains, forward-path gains, and non-touching loops, to determine the transfer function efficiently.
Loop gain is determined by identifying and tracing a path from a node back to itself. This involves computing the product of branch gains along the loop. Each loop's gain is crucial for...
474
Indirect Motor Pathways01:22

Indirect Motor Pathways

1.7K
The indirect motor or extrapyramidal pathways originate in the brainstem, the lower portion of the brain that connects it to the spinal cord. They consist of several distinct tracts, each with specialized functions. The four main tracts of the indirect motor pathways are the vestibulospinal tract, the reticulospinal tract, the tectospinal tract, and the rubrospinal tract.
The vestibulospinal tract originates in the vestibular nuclei of the brainstem. The vestibular system detects changes in...
1.7K
Electro-mechanical Systems01:19

Electro-mechanical Systems

1.1K
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
1.1K

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

Dynamic acoustic-to-categorical representations of phonemes and prosody along ventral and dorsal speech streams.

Nature communications·2026
Same author

Development of auditory and spontaneous movement responses to music over the first postnatal year.

eLife·2026
Same author

Distinct Physiological Mechanisms Drive Grey Matter Plasticity in Complex Versus Simple Sequence Learning.

Human brain mapping·2026
Same author

Stimulus Predictability and Liking Enhance Auditory-Motor Encoding and Memory for Melodies.

Annals of the New York Academy of Sciences·2026
Same author

Music engages the phasic dopaminergic D1-receptor system in humans: a PET-fMRI study using [<sup>11</sup>C]SCH23390.

European journal of nuclear medicine and molecular imaging·2026
Same author

Retinal nerve fibre layer thickness reflects characteristics of brain grey and white matter.

Imaging neuroscience (Cambridge, Mass.)·2026

相关实验视频

Updated: Sep 9, 2025

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

8.6K

在发动序列生成中获取和使用递归规则

Maurício D Martins1,2, Zoe Bergmann1, Elena Leonova3

  • 1SCAN-Unit, Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna.

Cognitive science
|September 2, 2025
PubMed
概括

成年人可以学习递归运动序列, 但首先要掌握代规则, 递归序列的区分并不能保证生成能力.

关键词:
代方式发动机生产程序学习复议权规则的获取

更多相关视频

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats
08:59

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats

Published on: June 22, 2015

10.5K
Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.8K

相关实验视频

Last Updated: Sep 9, 2025

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

8.6K
Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats
08:59

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats

Published on: June 22, 2015

10.5K
Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.8K

科学领域:

  • 认知科学
  • 神经科学
  • 发动机控制

背景情况:

  • 人类的层次嵌入对于语言和视觉至关重要,
  • 在汽车制造业中,再循环的获取仍然在很大程度上未被探索.
  • 了解代和递归规则学习之间的相互作用是认知发展的关键.

研究的目的:

  • 研究人类运动序列中的递归层次结构的可学习性和生成性.
  • 确定先前学习代规则是否有助于获得递归运动规则.
  • 检查睡眠在巩固运动序列的抽象知识中的作用.

主要方法:

  • 40名成年人学习并生成由递归和代规则控制的手指运动序列.
  • 一个在主体设计中平衡的规则顺序 (代然后递归,或者反之亦然).
  • 在两天内进行学习,区分和生成阶段,其中包括一晚的睡眠.

主要成果:

  • 大多数参与者能够区分并产生递归的运动序列,
  • 在学习递归规则之前学习代规则显著提高了性能.
  • 睡眠在抽象运动序列知识中起到了至关重要的作用.
  • 序列区分能力并不能保证产生能力.

结论:

  • 运动序列可以使用递归层次规则来学习和生成,并反映语言和视觉的发现.
  • 一个阶段性的学习过程,从代开始,似乎是获得回归的最佳方式.
  • 睡眠对于巩固抽象运动序列表示是必不可少的.
  • 区分正确和不正确的递归序列是一个独立的技能,