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nASR: An End-to-End Trainable Neural Layer for Channel-Level EEG Artifact Subspace Reconstruction in Real-Time BCI

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Sarkar, Shantanu, Contreras-Vidal, Jose L.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Signal Processing Human-Computer Interaction Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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