Conceptual knowledge plays a pivotal role in human cognition. Grounded cognition theories
propose that concepts consist of perceptual-motor features represented in modality-specific …

Understanding the computational algorithm that gives rise to human language is a shared
endeavor among neuroscience, linguistics, and machine learning. We propose a conceptual …

Thoughts and moods constituting our mental life incessantly change. When the steady flow
of this dynamics diverges in clinical directions, the possible pathways involved are captured …

To explain how the human brain represents and organizes meaning, many theoretical and
computational language models have been proposed over the years, varying in their …

Abstract Mathematics is an underexplored domain of human cognition. While many studies
have focused on subsets of math concepts such as numbers, fractions, or geometric shapes …

Conceptual knowledge is central to human cognition. Neuroimaging studies suggest that
conceptual processing involves modality-specific and multimodal brain regions in a task …

In studies using representational similarity analysis (RSA) of fMRI data, the reliability of the
neural representational dissimilarity matrix (RDM) is a limiting factor in the ability to detect …

Different people listening to the same story may converge upon a largely shared
interpretation while still develo** idiosyncratic experiences atop that shared foundation …

Neuropsychological and neuroimaging studies provide evidence for a degree of category-
related organization of conceptual knowledge in the brain. Some of this evidence indicates …

Emotions permeate every aspect of our lives including how we process and use language.
Affective neurolinguistics is an emerging field that aims to unify separate research traditions …