Existing models propose that primate visual cortex is divided into two functionally distinct
pathways. The ventral pathway computes the identity of an object; the dorsal pathway …

Deep learning models currently achieve human levels of performance on real-world face
recognition tasks. We review scientific progress in understanding human face processing …

Extensive sampling of neural activity during rich cognitive phenomena is critical for robust
understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in …

Face perception is critical for normal social functioning and is mediated by a network of
regions in the ventral visual stream. In this review, we describe recent neuroimaging findings …

Functional magnetic resonance imaging (fMRI) noninvasively measures human brain
activity at millimeter resolution. Scientists use different approaches to take advantage of the …

Inspired by the primate visual system, deep convolutional neural networks (DCNNs) have
made impressive progress on the complex problem of recognizing faces across variations of …

In natural vision, objects appear at typical locations, both with respect to visual space (eg, an
airplane in the upper part of a scene) and other objects (eg, a lamp above a table). Recent …

For more than 100 years we have known that the visual field is mapped onto the surface of
visual cortex, imposing an inherently spatial reference frame on visual information …

Human vision has striking radial asymmetries, with performance on many tasks varying
sharply with stimulus polar angle. Performance is generally better on the horizontal than …

Prevailing hierarchical models propose that temporal processing capacity—the amount of
information that a brain region processes in a unit time—decreases at higher stages in the …