2 papers
q-bio.NC2025
DLGE: Dual Local-Global Encoding for Generalizable Cross-BCI-Paradigm
Jingyuan Wang, Junhua Li
Deep learning models have been frequently used to decode a single brain-computer interface (BCI) paradigm based on electroencephalography (EEG). It is challenging to decode multipl…
q-bio.QM2025
Cross-BCI, A Cross-BCI-Paradigm Classifica-tion Model Towards Universal BCI Applications
Gaojie Zhou, Junhua Li
Classification models used in brain-computer interface (BCI) are usually designed for a single BCI paradigm. This requires the redevelopment of the model when applying it to a new…