相关实验视频

Updated: Jul 29, 2026

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

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主体不可知的基于变压器的神经语音从表面和深度电极信号解码信号.

Junbo Chen1, Xupeng Chen1, Ran Wang1

  • 1Electrical and Computer Engineering Department, New York University, 370 Jay Street, Brooklyn, 11201, NY, USA.

bioRxiv : the preprint server for biology
|April 1, 2024
PubMed
概括

这项研究介绍了SwinTW,SwinTW是一种深度学习模型,用于使用来自任何电极类型的脑信号来解码语音. 它从电皮质谱和立体EEG数据中实现了高精度的语音解码,即使在看不见的参与者中也是如此.

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