High-performing neural networks for vision have dramatically advanced our ability to
account for neural data in biological systems. Recently, further improvement in performance …

The rise of large, publicly shared functional magnetic resonance imaging (fMRI) data sets in
human neuroscience has focused on acquiring either a few hours of data on many …

Object vision is commonly thought to involve a hierarchy of brain regions processing
increasingly complex image features, with high-level visual cortex supporting object …

We hypothesize that high-level visual representations contain more than the representation
of individual categories: they represent complex semantic information inherent in scenes …

Text-to-image generation has attracted significant interest from researchers and practitioners
in recent years due to its widespread and diverse applications across various industries …

The extrastriatal visual cortex is known to exhibit distinct response profiles to complex stimuli
of varying ecological importance (eg faces, scenes, and tools). Although food is primarily …

Low-level features are typically continuous (eg, the gamut between two colors), but semantic
information is often categorical (there is no corresponding gradient between dog and turtle) …

Tools such as pens, forks, and scissors play an important role in many daily-life activities, an
importance underscored by the presence in visual cortex of a set of tool-selective brain …

A long standing goal in neuroscience has been to elucidate the functional organization of
the brain. Within higher visual cortex, functional accounts have remained relatively coarse …

Food neophobia is the fear of new foods, and it is associated with negative health outcomes.
Recent work suggests that it is negatively correlated with the ability to discriminate visually …