《用于提高动态视觉目标群体检测性能的协作式脑机接口框架》勘误
Corrigendum to "A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual Targets".
作者信息
Song Xiyu, Zeng Ying, Tong Li, Shu Jun, Yang Qiang, Kou Jian, Sun Minghua, Yan Bin
机构信息
Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China.
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuro Information, University of Electronic Science and Technology of China, Chengdu, China.
出版信息
Comput Intell Neurosci. 2022 Oct 26;2022:9819804. doi: 10.1155/2022/9819804. eCollection 2022.
Abstract
[This corrects the article DOI: 10.1155/2022/4752450.].
摘要
[本文更正了文章的数字对象标识符：10.1155/2022/4752450。]
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本文引用的文献
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A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual Targets.一种用于增强动态视觉目标群体检测性能的协作脑-机接口框架。
Comput Intell Neurosci. 2022 Jan 18;2022:4752450. doi: 10.1155/2022/4752450. eCollection 2022.
2
Cyborg groups enhance face recognition in crowded environments.半机械人小组提高了在拥挤环境中的人脸识别能力。
PLoS One. 2019 Mar 6;14(3):e0212935. doi: 10.1371/journal.pone.0212935. eCollection 2019.
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