Modeling multiscale neural dynamics for EEG-based emotion recognition using an attentive wavelet–transformer framework

Electroencephalography (EEG)-based emotion recognition faces challenges such as signal noise, non-stationarity, inter-subject variability, and class imbalance, limiting its practical application in affective computing and clinical diagnostics. This study introduces the Attentive Wavelet-Transformer...

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Principais autores:	R. S. Soundariya, P. Thangaraj
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-06-01
coleção:	Frontiers in Computational Neuroscience
Assuntos:	electroencephalography (EEG) emotion recognition wavelet transform transformer networks multiscale neural dynamics deep learning
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fncom.2026.1775449/full
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