Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model
Paper
•
2512.11582
•
Published
Pretrained models for Brain-Semantoks.
Github: https://github.com/SamGijsen/Brain-Semantoks
Paper: https://arxiv.org/abs/2512.11582
Seeds: We include three identical models trained using different random seeds, such that variability can be evaluated.
Atlas: For convenience, we provide the three used atlases (Schaefer-400 [1], Tian-S3 [2], and Buckner-7 [3]) in one file. Please cite the original creators of these atlases.
References
[1] Schaefer, Alexander, et al. "Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI." Cerebral cortex 28.9 (2018): 3095-3114.
[2] Tian, Ye, et al. "Topographic organization of the human subcortex unveiled with functional connectivity gradients." Nature neuroscience 23.11 (2020): 1421-1432.
[3] Buckner, Randy L., et al. "The organization of the human cerebellum estimated by intrinsic functional connectivity." Journal of neurophysiology 106.5 (2011): 2322-2345.
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