Humans seamlessly make sense of a rapidly changing environment, using a seemingly
limitless knowledgebase to recognize and adapt to most situations we encounter. This …

In recent years, scientists have increasingly taken to investigate the predictive nature of
cognition. We argue that prediction relies on abstraction, and thus theories of predictive …

It is increasingly apparent that sensorimotor information is a constitutive part of conceptual
knowledge. Yet all concepts, even highly concrete ones (eg dog) include information that is …

Large language models can handle sophisticated natural language processing tasks. This
raises the question of how their understanding of semantic meaning compares to that of …

This paper investigates contextual language models, which produce token representations,
as a resource for lexical semantics at the word or type level. We construct multi-prototype …

The role played by language in our cognitive lives is a topic at the centre of contemporary
debates in cognitive (neuro) science. In this paper we illustrate and compare two theories …

A neurobiologically constrained deep neural network mimicking cortical area function
relevant for sensorimotor, linguistic and conceptual processing was used to investigate the …

Full comprehension of abstract concepts present in engineering education has been usually
considered challenging. Engaging multimedia resources have proven to be useful …

Kemmerer's paper convincingly claims that the grounded cognition model (GCM) entails
linguistic relativity. Here, we underline that tackling linguistic relativity and cultural …

The notion of politicization has been often assimilated to that of partisanship, especially in
political and social sciences. However, these accounts underestimate more fine-grained …