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.
Ensemble graph neural network model for classification of major depressive disorder using whole-brain functional connectivity
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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.