The study offers a valuable resource and integrates multiple complementary datasets to provide insights into regulatory mechanisms, although the conceptual advances are moderate and the central ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

PartField is a feedforward model that predicts part-based feature fields for 3D shapes. Our learned features can be clustered to yield a high-quality part decomposition, outperforming the latest ...