Geometric descriptions of deep neural networks (DNNs) have the potential to uncover core
representational principles of computational models in neuroscience. Here we examined the …

The extrastriate cortex of primates encompasses a substantial portion of the cerebral cortex
and is devoted to the higher order processing of visual signals and their dispatch to other …

Object category learning is a fundamental ability, requiring the combination of" bottom-up"
stimulus-driven with" top-down" task-specific information. It therefore may be a fruitful …

Humans rely heavily on shape similarity among objects for object categorization and
identification. Studies using functional magnetic resonance imaging (fMRI) have shown that …

Perception can be cast as a process of inference, in which bottom-up signals are combined
with top-down predictions in sensory systems. In line with this, neural activity in sensory …

Primate inferior temporal (IT) cortex is thought to contain a high-level representation of
objects at the interface between vision and semantics. This suggests that the perceived …

Inferences made about objects via vision, such as rapid and accurate categorization, are
core to primate cognition despite the algorithmic challenge posed by varying viewpoints and …

Whereas much is known about the visual shape selectivity of neurons in the inferior
temporal cortex (ITC), less is known about the role of visual learning in the development and …

Neuroimaging studies have revealed strong selectivity for object categories in high-level
regions of the human visual system. However, it is unknown whether this selectivity is truly …

Object perception is one of the most remarkable capacities of the primate brain. Owing to the
large and indeterminate dimensionality of object space, the neural basis of object perception …