Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

Empathizing is the capacity to predict and to respond to the behavior of agents (usually
people) by inferring their mental states and responding to these with an appropriate …

Transformer models such as GPT generate human-like language and are predictive of
human brain responses to language. Here, using functional-MRI-measured brain responses …

How does language inform our downstream thinking? In particular, how do humans make
meaning from language--and how can we leverage a theory of linguistic meaning to build …

Abstract Syntax, the structure of sentences, enables humans to express an infinite range of
meanings through finite means. The neurobiology of syntax has been intensely studied but …

Talk of linguistic universals has given cognitive scientists the impression that languages are
all built to a common pattern. In fact, there are vanishingly few universals of language in the …

Purpose: The purpose of this study is to determine whether and how learning American Sign
Language (ASL) is associated with spoken English skills in a sample of ASL–English …

Psycholinguistics–the field of science that examines the mental processes and knowledge
structures involved in the acquisition, comprehension, and production of language–had a …

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 …

There is growing evidence that sensory deprivation is associated with crossmodal
neuroplastic changes in the brain. After visual or auditory deprivation, brain areas that are …