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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.
Humans can rapidly and accurately recognize visual scenes and objects within them. In this Review, Peelen and colleagues discuss bidirectional interactions between object and scene processing and the role of predictive processing in visual inference.
Yildirim et al. present a computational model of shape perception that integrates intuitive physics to explain how shape can be inferred from the deformations it causes to other objects.
Here the authors show that inhibitory projections from the ventral geniculate nucleus to superior colliculus facilitate visual detection of small objects in a visually guided approaching behaviour by providing broad surround suppression to SC neurons.
An fMRI study of humans suggests the possibility of using data-driven and generative approaches to modulate macroscale brain regions’ activation responses and probe interindividual differences in and functional specialization of the human visual system.
