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EPECT: An Eigenvalue-Guided Positional Encoding Classification Transformer for Cross-Subject EEG-fNIRS Decoding

Decoding mental states from non-invasive neural recordings is central to brain-computer interface research. Multimodal acquisition that combines electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) couples the high temporal resolution of EEG with the spatial specificity of...

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Autori principali: Chayut Bunterngchit, Laith H. Baniata, Sangwoo Kang
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-07-01
Serie:Mathematics
Soggetti:
brain-computer interface
EEG-fNIRS
multimodal neuroimaging
cross-subject classification
transformer
multi-head self-attention
Accesso online:https://www.mdpi.com/2227-7390/14/13/2416
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