Jove
Visualize
联系我们

相关概念视频

Direct Motor Pathways01:11

Direct Motor Pathways

2.1K
The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
The corticospinal tract is responsible for the voluntary movement of the limbs and trunk. It originates in the cerebral cortex of the brain and descends through the cerebrum's internal capsule and...
2.1K
Indirect Motor Pathways01:22

Indirect Motor Pathways

1.5K
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...
1.5K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

117
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...
117
Motor Unit Stimulation01:20

Motor Unit Stimulation

1.6K
When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
1.6K
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

2.8K
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.
2.8K
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

4.0K
The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
4.0K

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

EDSF-Net : An enhanced dynamic spatiotemporal-frequency attention network for robust EEG decoding in motor imagery.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Breaking the Depth Barrier in Motor Imagery Classification via a Residual Depthwise-Separable Network.

IEEE transactions on cybernetics·2026
Same author

Enhancing Target Recognition Performance in SSVEP-Based Brain-Computer Interfaces via Deep Neural Networks With Pyramid Squeeze Attention.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

BR-SFDA: A Source-Target Bidirectional Refined SFDA for Privacy Preserving EEG-based BCIs.

IEEE journal of biomedical and health informatics·2026
Same author

Enhancing the Capability and Accuracy of Motor Imagery Classification: A Deep Neural Network-Powered Multifaceted Strategy Model.

IEEE transactions on cybernetics·2026
Same author

TBMSCCN: Two-Branch Multi-Scale Convolutional Correlation Network for Steady-State Visual Evoked Potential Classification.

IEEE transactions on bio-medical engineering·2026
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

相关实验视频

Updated: Jul 15, 2025

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

1.0K

基于图形卷积网络的新频道选择模型用于运动图像.

Wei Liang1, Jing Jin1,2, Ian Daly3

  • 1Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, 200237 China.

Cognitive neurodynamics
|October 3, 2023
PubMed
概括

这项研究引入了一种新的图形卷积神经网络 (GCN) 方法,用于在脑电脑接口 (BCI) 中选择脑电图 (EEG) 通道. 基于GCN的通道选择 (GCN-CS) 有效地识别了相关的EEG通道,提高了BCI的性能.

关键词:
大脑与计算机的接口 (BCI)频道选择 频道选择图形卷积神经网络 (GCN) 的图形.运动图像 (MI)

更多相关视频

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function
07:47

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function

Published on: February 4, 2016

13.1K
Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
09:42

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

1.3K

相关实验视频

Last Updated: Jul 15, 2025

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

1.0K
Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function
07:47

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function

Published on: February 4, 2016

13.1K
Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
09:42

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

1.3K

科学领域:

  • 神经科学是一个神经科学.
  • 计算机科学 计算机科学
  • 生物医学工程 生物医学工程

背景情况:

  • 多通道脑电图 (EEG) 对于基于运动图像 (MI) 的脑计算机接口 (BCI) 至关重要.
  • 冗余的EEG通道可能会阻碍BCI分类的性能.
  • 有效的通道选择对于优化BCI系统至关重要.

研究的目的:

  • 为BCI应用开发一种用于识别和选择相关EEG通道的新方法.
  • 通过减少道冗余来提高BCI分类准确性.
  • 为了利用图形卷积神经网络 (GCNs) 进行EEG通道选择.

主要方法:

  • 提出了一个用于通道选择的图形卷积神经网络 (GCN) 模型,称为基于GCN的通道选择 (GCN-CS).
  • 处理EEG通道作为图表中的节点,并将通道选择作为节点分类问题.
  • 在三个不同的运动图像 (MI) 数据集上评估了GCN-CS方法.

主要成果:

  • 在所有三个MI数据集中,GCN-CS方法显示了显著的性能改进.
  • 实现的分类准确率为79.76% (数据集1),89.14% (数据集2) 和87.96% (数据集3).
  • 拟议的方法有效地减少了道的数量,同时提高了BCI的性能,而不是竞争的方法.

结论:

  • 在BCI中选择相关的EEG通道,GCN-CS是一种有效的方法.
  • 该方法在机动图像任务的分类准确度上提供了显著的改进.
  • 这种基于GCN的策略为优化脑计算机接口设计提供了一个有希望的方向.