Showing cs.HCShow all
3 papers · 1 filter
cs.HC2026
HCFT: Hierarchical Convolutional Fusion Transformer for EEG Decoding
Haodong Zhang, Jiapeng Zhu, Yitong Chen +1
Electroencephalography (EEG) decoding requires models that can effectively extract and integrate complex temporal, spectral, and spatial features from multichannel signals. To addr…
cs.HC2025
Foundation Models for Cross-Domain EEG Analysis Application: A Survey
Hongqi Li, Yitong Chen, Yujuan Wang +2
Electroencephalography (EEG) analysis stands at the forefront of neuroscience and artificial intelligence research, where foundation models are reshaping the traditional EEG analys…
cs.HC2024
Dual-TSST: A Dual-Branch Temporal-Spectral-Spatial Transformer Model for EEG Decoding
Hongqi Li, Haodong Zhang, Yitong Chen
The decoding of electroencephalography (EEG) signals allows access to user intentions conveniently, which plays an important role in the fields of human-machine interaction. To eff…