THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior.

ABSTRACT: Understanding object representations requires a broad, comprehensive sampling of the objects in our visual world with dense measurements of brain activity and behavior. Here, we present THINGS-data, a multimodal collection of large-scale neuroimaging and behavioral datasets in humans, comprising densely sampled functional MRI and magnetoencephalographic recordings, as well as 4.70 million similarity judgments in response to thousands of photographic images for up to 1,854 object concepts. THINGS-data is unique in its breadth of richly annotated objects, allowing for testing countless hypotheses at scale while assessing the reproducibility of previous findings. Beyond the unique insights promised by each individual dataset, the multimodality of THINGS-data allows combining datasets for a mu

SUBMITTER: Hebart MN 

PROVIDER: S-EPMC10038662 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature