eLife assessment
Hebart et al., present a new massive multi-model dataset to support the study of visual object representation, including data measured from functional magnetic resonance imaging, magnetoencephalography, and behavioral similarity judgments. The general, condition-rich design, conducted over a thoughtfully curated and sampled set of object concepts will be highly valuable to the cognitive/computational/neuroscience community, yielding data that will be amenable to many empirical questions beyond the field of visual object recognition. The dataset is accompanied by quality control evaluations as well as examples of analyses that the community can re-run and further explore for building new hypotheses that can be tested with such a rich dataset.