A central goal of neuroscience is to understand the representations formed by brain activity
patterns and their connection to behaviour. The classic approach is to investigate how …

Objects are the core meaningful elements in our visual environment. Classic theories of
object vision focus upon object recognition and are elegant and simple. Some of their …

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 …

Recent work has sought to understand the behavior of neural networks by comparing
representations between layers and between different trained models. We examine methods …

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 …

An extensive body of empirical research has revealed remarkable regularities in the
acquisition, organization, deployment, and neural representation of human semantic …

Recent years have seen an increase in the popularity of multivariate pattern (MVP) analysis
of functional magnetic resonance (fMRI) data, and, to a much lesser extent, magneto-and …

In this review, we are pitting two theories against each other: the more accepted theory, the
number sense theory, suggesting that a sense of number is innate and non-symbolic …

Inferior temporal (IT) cortex in human and nonhuman primates serves visual object
recognition. Computational object-vision models, although continually improving, do not yet …

Visual categorization is thought to occur in the human ventral temporal cortex (VTC), but
how this categorization is achieved is still largely unknown. In this Review, we consider the …