Latent neural integral operator models are evaluated on two fMRI datasets for encoding and decoding, with larger temporal windows and broader spatial context yielding improved performance and more structured latent representations.
Rethinking functional brain connectome analysis: Do graph deep learning models help?, 2025
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Nonlocal operator learning for fMRI encoding and decoding tasks
Latent neural integral operator models are evaluated on two fMRI datasets for encoding and decoding, with larger temporal windows and broader spatial context yielding improved performance and more structured latent representations.