The authors release FOMO260K, a heterogeneous dataset of 260k+ 3D brain MRIs from 910 sources to support large-scale self-supervised learning in medical imaging.
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fMRI during naturalistic movies shows context-dependent double dissociation in object representational geometry: action targets organized by affordances in parietal networks, passive objects by semantics in occipito-temporal networks.
citing papers explorer
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A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning
The authors release FOMO260K, a heterogeneous dataset of 260k+ 3D brain MRIs from 910 sources to support large-scale self-supervised learning in medical imaging.
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Contextual Role Modulates Object Representational Geometry in the Human Brain
fMRI during naturalistic movies shows context-dependent double dissociation in object representational geometry: action targets organized by affordances in parietal networks, passive objects by semantics in occipito-temporal networks.