Abstract ROLLS, ET Two What, Two Where, Visual Cortical Streams in Humans. NEUROSCI
BIOBEHAV REV 2024 Recent cortical connectivity investigations lead to new concepts …

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 …

Modular and distributed coding theories of category selectivity along the human ventral
visual stream have long existed in tension. Here, we present a reconciling framework …

In order to better understand how the brain perceives faces, it is important to know what
objective drives learning in the ventral visual stream. To answer this question, we model …

Face cells are neurons that respond more to faces than to non-face objects. They are found
in clusters in the inferotemporal cortex, thought to process faces specifically, and, hence …

Biological visual systems have evolved to process natural scenes. A full understanding of
visual cortical functions requires a comprehensive characterization of how neuronal …

Deep artificial neural networks (ANNs) play a major role in modeling the visual pathways of
primate and rodent. However, they highly simplify the computational properties of neurons …

Images of visual scenes comprise essential features important for visual cognition of the
brain. The complexity of visual features lies at different levels, from simple artificial patterns …

A central challenge in face perception research is to understand how neurons encode face
identities. This challenge has not been met largely due to the lack of simultaneous access to …

Both the primate visual system and artificial deep neural network (DNN) models show an
extraordinary ability to simultaneously classify facial expression and identity. However, the …