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ATCRN:P300拼音器的注意引导时间卷积混音网络

Binghao Shi1, Mengxue Liu1, Yanjiang Wang1

  • 1The College of Control Science and Engineering, China University of Petroleum(East China), Shandong Qingdao 266580, China.

Journal of neuroscience methods
|February 28, 2026
PubMed
概括

本研究介绍了注意引导的时间卷积复杂网络 (ATCRN),以改善大脑与计算机接口 (BCI) 通信. 该ATCRN模型通过有效处理杂的EEG信号和可变的P300响应来提高P300拼写器的性能.

关键词:
注意力机制注意力机制大脑与计算机接口 (BCI)电脑电磁波解码的解码这是一个P300拼写器.时间卷积网络的时间卷积网络.

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