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Object vision refers to the ability of the visual system to resolve, identify and categorize visual objects based on their physical properties, such as shape and colour.
The functional organisation of the inferotemporal cortex is not well understood. Here, the authors construct a multi-dimensional space of visual features using deep neural networks, and show the spatial organisation of feature preference in both human and monkey inferotemporal cortex.
Comparative fMRI in dogs and humans reveals functionally analogous body- and animacy responsive areas in the occipito-temporal lobe of both species and divergent neural representations of faces and conspecific bodies in dog olfactory regions.
