The cognitive concept of representation plays a key role in theories of brain information
processing. However, linking neuronal activity to representational content and cognitive …

STATIS is an extension of principal component analysis (PCA) tailored to handle multiple
data tables that measure sets of variables collected on the same observations, or …

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

The unique way in which each of us perceives the world must arise from our brain
representations. If brain imaging could reveal an individual's unique mental representation …

How verbal and nonverbal visuoperceptual input connects to semantic knowledge is a core
question in visual and cognitive neuroscience, with significant clinical ramifications. In an …

Despite major advances in measuring human brain activity during and after educational
experiences, it is unclear how learners internalize new content, especially in real-life and …

The prefrontal cortex (PFC) is central to flexible, goal-directed cognition, and understanding
its representational code is an important problem in cognitive neuroscience. In humans …

There is converging evidence that people rapidly and automatically encode affective
dimensions of objects, events, and environments that they encounter in the normal course of …

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 …

We construct embedded functional connectivity networks (FCN) from benchmark resting-
state functional magnetic resonance imaging (rsfMRI) data acquired from patients with …