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 …

Information that is shared across brains is encoded in idiosyncratic fine-scale functional
topographies. Hyperalignment captures shared information by projecting pattern vectors for …

The goal of the present study was to apply deep learning algorithms to identify autism
spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the …

Representational similarity analysis of activation patterns has become an increasingly
important tool for studying brain representations. The dissimilarity between two patterns is …

Humans can see and name thousands of distinct object and action categories, so it is
unlikely that each category is represented in a distinct brain area. A more efficient scheme …

Face perception relies on computations carried out in face-selective cortical areas. These
areas have been intensively investigated for two decades, and this work has been guided by …

A major challenge for systems neuroscience is to break the neural code. Computational
algorithms for encoding information into neural activity and extracting information from …

A fundamental challenge for systems neuroscience is to quantitatively relate its three major
branches of research: brain-activity measurement, behavioral measurement, and …

We present a high-dimensional model of the representational space in human ventral
temporal (VT) cortex in which dimensions are response-tuning functions that are common …

Pity the poor textbook writer. I suspect that a common motivation for writing textbooks is the
dissatisfaction with existing textbooks, yet having embarked upon writing one's own then …