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.
Scale-free properties of the functional magnetic resonance imaging signal during rest and task
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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.