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Updated: Aug 3, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

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TFDISNet:时频域不变和域特定特征学习网络,用于从EEG信号中增强听觉注意力解码

Zhongcai He1, Yongxiong Wang1

  • 1The School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, People's Republic of China.

Biomedical physics & engineering express
|September 22, 2025
PubMed
概括

本研究介绍了TFDISNet,这是使用电脑电图 (EEG) 信号进行听觉注意力解码 (AAD) 的新框架. 通过有效地整合时间和频率域特征,TFDISNet显著提高了AAD的准确性.

关键词:
听觉注意力解码的解码大脑与计算机接口 (BCI)域不变和域特定的表示学习学习.电脑电图 (EEG) 是一个电脑电图.时间频率特征聚变的时间频率特征.

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