Models that represent meaning as high-dimensional numerical vectors—such as latent
semantic analysis (LSA), hyperspace analogue to language (HAL), bound encoding of the …

The paper introduces a new perspective on abstract concepts (eg “freedom”) and their
associate words representation, the Words As social Tools (WAT) view. Traditional theories …

Researchers have wondered how the brain creates emotions since the early days of
psychological science. With a surge of studies in affective neuroscience in recent decades …

Over the last decade, there has been an increasing body of work that explores whether
sensory and motor information is a necessary part of semantic representation and …

Abstract Abstract concepts (“freedom”) differ from concrete ones (“cat”), as they do not have
a bounded, identifiable, and clearly perceivable referent. The way in which abstract …

Recent studies suggest that a complex, distributed neural network underpins semantic
cognition. This article reviews our contribution to this emerging picture and traces the …

Cognitive Neuroscience of Language provides an up-to-date, wide-ranging, and
pedagogically practical survey of the most important developments in this exciting field. It …

Theories of cognition often assume that a single type of rep1esentation underlies
knowledge.. Traditionally, most theories have assumed that amodal symbols provide …

Single words and sentences referring to bodily actions activate the motor cortex. However,
this semantic grounding of concrete language does not address the critical question whether …

We present an account of semantic representation that focuses on distinct types of
information from which word meanings can be learned. In particular, we argue that there are …