Domain-aware domain–class adaptation network for motor execution to motor imagery EEG classification

IntroductionMotor imagery (MI) is one of the most widely used paradigms in electroencephalogram (EEG)-based brain–computer interfaces (BCIs). In recent years, deep learning and transfer learning techniques have been increasingly adopted to further improve MI-EEG decoding performance, thereby facilit...

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Autori principali:	Jiahuan Wang, Guanghua Xu, Chenghang Du, Zejin Li, Hui Li, Shengchao Chen, Chengcheng Han, Sicong Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2026-06-01
Serie:	Frontiers in Neuroscience
Soggetti:	brain-computer interface domain adaptation electroencephalogram motor execution motor imagery transfer learning
Accesso online:	https://www.frontiersin.org/articles/10.3389/fnins.2026.1851006/full
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