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 …
Evidence of a predictive coding hierarchy in the human brain listening to speech
Considerable progress has recently been made in natural language processing: deep
learning algorithms are increasingly able to generate, summarize, translate and classify …
learning algorithms are increasingly able to generate, summarize, translate and classify …
Driving and suppressing the human language network using large language models
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 …
human brain responses to language. Here, using functional-MRI-measured brain responses …
Robust effects of working memory demand during naturalistic language comprehension in language-selective cortex
To understand language, we must infer structured meanings from real-time auditory or visual
signals. Researchers have long focused on word-by-word structure building in working …
signals. Researchers have long focused on word-by-word structure building in working …
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 …
The human language system, including its inferior frontal component in “Broca's area,” does not support music perception
Abstract Language and music are two human-unique capacities whose relationship remains
debated. Some have argued for overlap in processing mechanisms, especially for structure …
debated. Some have argued for overlap in processing mechanisms, especially for structure …
Precision fMRI reveals that the language-selective network supports both phrase-structure building and lexical access during language production
A fronto-temporal brain network has long been implicated in language comprehension.
However, this network's role in language production remains debated. In particular, it …
However, this network's role in language production remains debated. In particular, it …
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 …
Long-range and hierarchical language predictions in brains and algorithms
Deep learning has recently made remarkable progress in natural language processing. Yet,
the resulting algorithms remain far from competing with the language abilities of the human …
the resulting algorithms remain far from competing with the language abilities of the human …