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Updated: Jul 10, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
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通过可解释的深度学习框架从EEG网络中提取情绪处理的关键节奏和子网络

Peiyang Li1,2,3, Ruiting Lin1,2,3, Weijie Huang1,2,3

  • 1School of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Cerebral cortex (New York, N.Y. : 1991)
|December 21, 2024
PubMed
概括

这项研究引入了一种新的深度学习模型,用于分析脑电图 (EEG) 脑网络以识别情绪. 该方法提高了情绪识别的准确性,并揭示了参与情绪处理的关键大脑网络结构.

关键词:
大脑网络 大脑网络深度学习是一种深度学习.一个电脑电图 (electroencephalogram) 是一个电脑电图.情感识别 情感识别 情感识别可以解释的解释性.

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