A 4D Swin Transformer with a convolutional decoder predicts the next 10 resting-state fMRI volumes from 32 prior volumes, reporting masked MSE of 0.035 on 20 held-out HCP subjects.
Modeling spatio -temporal patterns of holistic functional brain networks via multi -head guided attention graph neural networks (Multi-Head GAGNNs),
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Voxel-Level Brain States Prediction Using Swin Transformer
A 4D Swin Transformer with a convolutional decoder predicts the next 10 resting-state fMRI volumes from 32 prior volumes, reporting masked MSE of 0.035 on 20 held-out HCP subjects.