Author

Xiaojun Yu

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Review Open access Aug 2026

A Comprehensive Review of Sequence and Generative Models in Motor Imagery (MI) Classification for Brain–Computer Interfaces (BCIs)

Motor imagery (MI) classification serves as the backbone to brain–computer interfaces (BCIs) by strengthening the communication bridge between the human brain and external peripheral devices. The past two decades have witnessed unprecedented success in MI-BCIs, with applications not only in medical fields but also in s...

Muhammad Ahmed Abbasi, Hafza Faiza Abbasi, Muhammad Arsalan et al. · Italian National Conference... · 0 citations

Open access Sep 2026

SEDAT: a hybrid tokenizer for large EEG models

Objective. The fidelity of neural representations learned by large EEG foundation models depends on how raw brain signals are tokenized. Existing methods suffer from arbitrary temporal boundaries misaligned with neural state transitions, neglecting inter-channel spatial information, and fixed segmentation criteria that...

Muhammad Zulkifal Aziz, Yue Zhuo, Bin-Wen Huang et al. · Journal of Neural Engineerin... · 0 citations