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Sep 2026

Contrastive Decoupling and Enhancement of Multi-view EEG Features for Imagined Speech Decoding.

Imagined speech decoding remains challenging in brain-computer interfaces (BCIs) due to the low signal-to-noise ratio and complex spatio-temporal-spectral structure of Electroencephalogram (EEG) data. Existing studies mainly rely on single-view features or simple fusion strategies, limiting their ability to capture div...

Zi-Jian Han, Zhao-Hu Liu, Honggang Liu et al. · 0 citations
Open access Aug 2026

A balanced multimodal decoding framework of EEG and fNIRS for motor imagery

A dynamic re-initialization framework for EEG–fNIRS multimodal decoding achieves cross-modal balanced learning through a diagnosis–adjustment–re-initialization mechanism, which achieves cross-modal balanced learning through a diagnosis–adjustment–re-initialization mechanism.

Jia-Ru Dai, Li Zhu, Fabio Babiloni et al. · 0 citations

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