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

There are many questions one can ask about human language: its distinctive properties,
neural representation, characteristic uses including use in communicative contexts …

Modern machine learning has subverted and bypassed the theoretical framework of
Chomsky's generative approach to linguistics, including its core claims to particular insights …

Mental representations remain the central posits of psychology after many decades of
scrutiny. However, there is no consensus about the representational format (s) of biological …

A novel theoretical framework for an embodied, non-representational approach to language
that extends and deepens enactive theory, bridging the gap between sensorimotor skills and …

“This is an important book and likely the most thoughtful of the year in the social sciences...
Highly recommended, it is likely to prove one of the most thought-provoking books of the …

Recent progress in artificial intelligence has renewed interest in building systems that learn
and think like people. Many advances have come from using deep neural networks trained …

The questions posed have many aspects. I would like to begin with some general remarks
on the nature of the inquiry, and then turn to the kinds of problems that arise and what might …

Drawing on a range of contexts and data sources, from urban multilingualism to studies of
animal communication, Posthumanist Applied Linguistics offers us alternative ways of …

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 …