This research introduces a foundation model approach for EEG analysis, addressing key challenges in brain activity interpretation and medical applications.

• Creates a pretrained EEG foundation model that handles variability across subjects and recording conditions
• Enables more robust clinical diagnostics and neurological research
• Applies successful strategies from language models to brain-computer interfaces
• Addresses the critical problem of scarce large-scale, well-annotated EEG datasets

This breakthrough matters for medicine by potentially transforming neurological diagnostics, enabling more personalized treatment approaches, and advancing neurofeedback systems—ultimately making advanced brain analysis more accessible and reliable in clinical settings.

Large Cognition Model: Towards Pretrained EEG Foundation Model