A decomposed subject-specific layer lets neural manifold models of fMRI capture individual spatial variation with far fewer parameters than per-subject layers.
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Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data
A decomposed subject-specific layer lets neural manifold models of fMRI capture individual spatial variation with far fewer parameters than per-subject layers.