RS-STGCN: Regional-Synergy Spatio-Temporal Graph Convolutional Network for emotion recognition

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of brain activity. However, prevailing approaches for defining brain connectivity often fail to reconci...

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Hlavní autoři:	Yunqi Han, Yifan Chen, Hang Ruan, Deqing Song, Haoxuan Xu, Haiqi Zhu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2025-12-01
Edice:	Frontiers in Neuroscience
Témata:	emotion recognition electroencephalography spatio-temporal graph convolutional network dynamic graph construction functional connectivity
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fnins.2025.1704476/full
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