ProCA: Progressive Contrastive Alignment for Robust EEG Visual Decoding
Electroencephalogram (EEG) visual decoding aims to recover visual semantics from non-invasive neural time-series signals, for which robust alignment between noisy neural responses and stable semantic representations is key to achieving high-performance decoding. Despite recent advances in contrastive learning, robust E...
Kang-Lei Zhou, Chun-Yan Lan, Dong-Yang Li et al.
· 0 citations