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

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

Objective Assessment of Disorders of Consciousness Based on EEG Temporal and Spectral Features.

International journal of neural systems·2025
Same author

Time-varying EEG networks of major depressive disorder during facial emotion tasks.

Cognitive neurodynamics·2024
Same author

Assembling global and local spatial-temporal filters to extract discriminant information of EEG in RSVP task.

Journal of neural engineering·2023
Same author

Gastric cancer-derived exosomal miR-519a-3p promotes liver metastasis by inducing intrahepatic M2-like macrophage-mediated angiogenesis.

Journal of experimental & clinical cancer research : CR·2022
Same author

Effects of different modes of exercise on skeletal muscle mass and function and IGF-1 signaling during early aging in mice.

The Journal of experimental biology·2022
Same author

Optimal Control of False Information Clarification System under Major Emergencies Based on Differential Game Theory.

Computational intelligence and neuroscience·2022

相关实验视频

Updated: Jul 4, 2025

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.3K

基于多源域调整的时空卷积网络,用于RSVP任务中的跨主题EEG分类.

Xuepu Wang1, Bowen Li2, Yanfei Lin1

  • 1School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, People's Republic of China.

Journal of neural engineering
|February 7, 2024
PubMed
概括

本研究引入了一种用于快速串行视觉呈现 (RSVP) 任务的脑电图 (EEG) 分类的新型网络,显著提高跨主题性能并减少校准时间.

关键词:
这就是BCI的意义.这是一个EEGEEGEEGEEGEEGEEGEEG.答复一个问题RSVP域名适应 域名适应

更多相关视频

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.5K
Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
09:25

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

6.9K

相关实验视频

Last Updated: Jul 4, 2025

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.3K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.5K
Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
09:25

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

6.9K

科学领域:

  • 神经科学是一个神经科学.
  • 机器学习 机器学习
  • 信号处理 信号处理

背景情况:

  • 对于快速串行视觉呈现 (RSVP) 任务,主体依赖的脑电图 (EEG) 分类方法需要广泛的特定主体数据和漫长的校准.
  • 跨主题的EEG分类提供了减少的校准,但在RSVP任务中仍然是一个重大挑战.

研究的目的:

  • 为RSVP任务开发一个有效的跨主题EEG分类方法,尽量减少校准要求.
  • 提高EEG分类在不同学科的概括性和准确性.

主要方法:

  • 提出了一个基于多源域适应的时空卷积 (MDA-TSC) 网络.
  • 采用多尺度的节奏空间卷积来提取域不变特征.
  • 利用多分支领域特定的特征提取和对齐,以解决跨主体的变化.
  • 嵌入域特定分类器,以优化对目标域的预测.

主要成果:

  • 与现有方法相比,MDA-TSC网络在用于跨学科分类的基准RSVP数据集上表现优越.
  • 废弃研究和可视化证实了网络的有效性和稳定性.
  • 在跨学科分类准确度方面取得了显著的改进.

结论:

  • 拟议的MDA-TSC网络有效地提高了RSVP任务中的跨主题EEG分类.
  • 这种方法有可能大大减少实际应用的系统校准时间.