EEGHGNet: A Hybrid Global Dual-Branch Attention Module for a Lightweight and Accurate Motor Imagery-based Brain-Computer Interface

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	EEGHGNet: A Hybrid Global Dual-Branch Attention Module for a Lightweight and Accurate Motor Imagery-based Brain-Computer Interface
Συγγραφείς:	Dai, Jiajun, Kobayashi, Nobuaki
Πηγή:	2026 14th International Conference on Brain-Computer Interface (BCI) Brain-Computer Interface (BCI), 2026 14th International Conference on. :1-6 Feb, 2026
Relation:	2026 14th International Conference on Brain-Computer Interface (BCI)
Βάση Δεδομένων:	IEEE Xplore Digital Library