2026
HFMCA: ORTHONORMAL FEATURE LEARNING FOR EEG-BASED BRAIN DECODING
ICASSP 2026poster
Electroencephalography (EEG) analysis is critical for brain-computer interfaces and neuroscience, but the intrinsic noise and high dimensionality of EEG signals hinder effective feature learning. We propose a self-supervised framework based on the Hierarchical Functional Maximal Correlation Algorith…