Dissociating language and thought in large language models
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 …
human language, yet opinions about their linguistic and cognitive capabilities remain split …
The language network as a natural kind within the broader landscape of the human brain
Abstract Language behaviour is complex, but neuroscientific evidence disentangles it into
distinct components supported by dedicated brain areas or networks. In this Review, we …
distinct components supported by dedicated brain areas or networks. In this Review, we …
Artificial neural network language models align neurally and behaviorally with humans even after a developmentally realistic amount of training
Artificial neural networks have emerged as computationally plausible models of human
language processing. A major criticism of these models is that the amount of training data …
language processing. A major criticism of these models is that the amount of training data …
Artificial neural network language models predict human brain responses to language even after a developmentally realistic amount of training
Artificial neural networks have emerged as computationally plausible models of human
language processing. A major criticism of these models is that the amount of training data …
language processing. A major criticism of these models is that the amount of training data …
The Language Network Reliably “Tracks” Naturalistic Meaningful Nonverbal Stimuli
The language network, comprised of brain regions in the left frontal and temporal cortex,
responds robustly and reliably during language comprehension but shows little or no …
responds robustly and reliably during language comprehension but shows little or no …
High-level language brain regions process sublexical regularities
A network of left frontal and temporal brain regions supports language processing. This
“core” language network stores our knowledge of words and constructions as well as …
“core” language network stores our knowledge of words and constructions as well as …
Intracranial recordings reveal three distinct neural response patterns in the language network
A left-lateralized network of frontal and temporal brain regions is specialized for language
processing—spoken, written, or signed. Different regions of this 'language network'have all …
processing—spoken, written, or signed. Different regions of this 'language network'have all …
Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models
Semantic and syntactic bootstrapping posit that children use their prior knowledge of one
linguistic domain, say syntactic relations, to help later acquire another, such as the …
linguistic domain, say syntactic relations, to help later acquire another, such as the …
Functional characterization of the language network of polyglots and hyperpolyglots with precision fMRI
S Malik-Moraleda, O Jouravlev, M Taliaferro… - Cerebral …, 2024 - academic.oup.com
How do polyglots—individuals who speak five or more languages—process their
languages, and what can this population tell us about the language system? Using fMRI, we …
languages, and what can this population tell us about the language system? Using fMRI, we …
Linguistic inputs must be syntactically parsable to fully engage the language network
Human language comprehension is remarkably robust to ill-formed inputs (eg, word
transpositions). This robustness has led some to argue that syntactic parsing is largely an …
transpositions). This robustness has led some to argue that syntactic parsing is largely an …