1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.NE2025★ 1 cited
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks
Junyan Li, Bin Hu, Zhi-Hong Guan
Cross-subject variability in EEG degrades performance of current deep learning models, limiting the development of brain-computer interface (BCI). This paper proposes ISAM-MTL, whi…
cs.NE2024
AM-MTEEG: Multi-task EEG classification based on impulsive associative memory
Junyan Li, Bin Hu, Zhi-Hong Guan
Electroencephalogram-based brain-computer interface (BCI) has potential applications in various fields, but their development is hindered by limited data and significant cross-indi…