Open access
Aug 2026
DRDNet: a dual-view representation decoupling network for handwriting imagery EEG classification
The results indicate that decoupling HI EEG into complementary temporal views and matching them with heterogeneous temporal encoders provides an effective representation learning strategy for robust non-invasive handwriting BCI decoding.
Zhi-Hao Li, Fan Wang, Hai-Chen Lu et al.
· Journal of Neural Engineerin... · 0 citations