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

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 …

Evidence of category specificity from neuroimaging in the human visual system is generally
limited to a few relatively coarse categorical distinctions—eg, faces versus bodies, or …

Face perception plays a central role in social communication and is, arguably, one of the
most sophisticated visual perceptual skills in humans. Consequently, face perception has …

Major theories for explaining the organization of semantic memory in the human brain are
premised on the often-observed dichotomous dissociation between living and nonliving …

Neural reuse is a form of neuroplasticity whereby neural elements originally developed for
one purpose are put to multiple uses. A diverse behavioral repertoire is achieved by means …

Auditory language comprehension recruits cortical regions that are both close to sensory-
motor landmarks (supporting auditory and motor features) and far from these landmarks …

This paper covers similarity analyses, a subset of multivariate pattern analysis techniques
that are based on similarity spaces defined by multivariate patterns. These techniques offer …

One of the most fundamental and striking limitations of human cognition appears to be a
constraint in the number of control-dependent processes that can be executed at one time …

A central goal in neuroscience is to interpret neural activation and, moreover, to do so in a
way that captures universal principles by generalizing across individuals. Recent research …