相关实验视频

Updated: Jan 28, 2026

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

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基于与事件相关的字段的MEG脑计算机接口向零校准

Dong-Uk Kim1, Moon-A Yoo1, Soo-In Choi2

  • 1Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.

Biomedical engineering letters
|January 26, 2026
PubMed
概括

这项研究引入了使用深度学习的零校准磁脑大脑成像 (MEG) 脑计算机接口 (BCI). 这种方法证明了有效的跨学科概括,为更实用的BCI应用铺平了道路.

关键词:
大脑与计算机的接口.深度学习是一种深度学习.与事件相关的字段与事件相关的字段.在MEGEG中,MEG是MEG.一个零校准的校准.

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