Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning

Researchers developed Uni-NTFM, a new foundation model for EEG signal analysis that incorporates biological neural mechanisms and achieved record-breaking 1.9 billion parameters. The model was pre-trained on 28,000 hours of EEG data and outperformed existing models across nine downstream tasks by aligning architecture with actual brain functionality.