Standard fMRI reaches mesoscale brain maps: f-LENNS super-resolves to 1 mm from synthetic-data training, no retraining across 3T and 7T
f-LENNS super-resolves conventional-resolution fMRI magnitude images to 1 mm isotropic, letting mesoscale functional organization be recovered without an ultra-high-field scanner. The model is trained only on domain-randomized synthetic MRI, with no adversarial or generative components, so it applies to experimental data across field strengths, sequences and resolutions without retraining. In visual cortex, color-, motion- and disparity-selective sites localized from super-resolved maps came closer to the original high-resolution acquisitions than interpolation upsampling and sharpening did.