Jul 2026
MSBraM: A Multi-scale Self-supervised Brain Foundation Model for Hierarchical EEG Dynamics Learning
Extensive experiments show that MSBraM achieves superior performance on other state-of-the-art pretrained models, demonstrating strong generalization and transferability, and indicate that explicitly modeling multi-scale temporal dynamics is critical for effective EEG foundation models.
Tao Zhou, Jing Han, Lingyu Shu et al.
· arXiv.org · 1 citation