The natural ecology of human language is face-to-face interaction comprising the exchange
of a plethora of multimodal signals. Trying to understand the psycholinguistic processing of …

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

Departing from traditional linguistic models, advances in deep learning have resulted in a
new type of predictive (autoregressive) deep language models (DLMs). Using a self …

During real-time language comprehension, our minds rapidly decode complex meanings
from sequences of words. The difficulty of doing so is known to be related to words' …

Abstract Language behaviour is complex, but neuroscientific evidence disentangles it into
distinct components supported by dedicated brain areas or networks. In this Review, we …

Theories of human cognition prominently feature'Broca's area', which causally contributes to
a myriad of mental functions. However, Broca's area is not a monolithic, multipurpose unit–it …

The “Narratives” collection aggregates a variety of functional MRI datasets collected while
human subjects listened to naturalistic spoken stories. The current release includes 345 …

The aim of this study was to examine the direct and indirect effects of domain‐specific
knowledge (vocabulary knowledge and topical knowledge) and domain‐general cognitive …

Much research in cognitive neuroscience supports prediction as a canonical computation of
cognition across domains. Is such predictive coding implemented by feedback from higher …

The fully updated eighth edition of Cognitive Psychology: A Student's Handbook provides
comprehensive yet accessible coverage of all the key areas in the field ranging from visual …