ST-SHAP: A hierarchical and explainable attention network for emotional EEG representation learning and decoding

• Published in: Journal of neuroscience methods Vol. 414; p. 110317
• Main Authors: Miao, Minmin, Liang, Jin, Sheng, Zhenzhen, Liu, Wenzhe, Xu, Baoguo, Hu, Wenjun
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.02.2025
• Subjects: Adult; Attention - physiology; Brain - physiology; EEG; Electroencephalography - methods; Emotion recognition; Emotions - physiology; Explainability; Humans; Neural Networks, Computer; Self attention; Signal Processing, Computer-Assisted; Swin transformer; Emotion recognition; Swin transformer; Self attention; Explainability; EEG

Emotion recognition using electroencephalogram (EEG) has become a research hotspot in the field of human–computer interaction, how to sufficiently learn complex spatial–temporal representations of emotional EEG data and obtain explainable model prediction results are still great challenges. In this...