2026
Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
ICLR 2026poster
Current foundation models for electroencephalography (EEG) rely on architectures adapted from computer vision or natural language processing, typically treating neural signals as pixel grids or token sequences. This approach overlooks that the neural activity is activated by diverse sparse coding ac…