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 …

A salient characteristic of monkey inferior temporal (IT) cortex is the IT face processing
network. Its hallmarks include:“face neurons” that respond more to faces than non-face …

Understanding how the brain represents the identity of complex objects is a central
challenge of visual neuroscience. The principles governing object processing have been …

A central goal in neuroscience is to understand how processing within the ventral visual
stream enables rapid and robust perception and recognition. Recent neuroscientific …

Visual face identification requires distinguishing between thousands of faces we know. This
computational feat involves a network of brain regions including the fusiform face area (FFA) …

Vision not only detects and recognizes objects, but performs rich inferences about the
underlying scene structure that causes the patterns of light we see. Inverting generative …

Face-selective neurons are observed in the primate visual pathway and are considered as
the basis of face detection in the brain. However, it has been debated as to whether this …

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 …

Within a fraction of a second of viewing a face, we have already determined its gender, age
and identity. A full understanding of this remarkable feat will require a characterization of the …

The discovery that deep convolutional neural networks (DCNNs) achieve human
performance in realistic tasks offers fresh opportunities for linking neuronal tuning properties …