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 …
Reply to 'The language network is topographically diverse and driven by rapid syntactic inferences'
We thank Murphy and Woolnough for their comments on our recent Review (Fedorenko, E.,
Ivanova, A. A, & Regev, TI The language network as a natural kind within the broader …
Ivanova, A. A, & Regev, TI The language network as a natural kind within the broader …
Distributed sensitivity to syntax and semantics throughout the language network
Human language is expressive because it is compositional: The meaning of a sentence
(semantics) can be inferred from its structure (syntax). It is commonly believed that language …
(semantics) can be inferred from its structure (syntax). It is commonly believed that language …
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 …
'Constituent length'effects in fMRI do not provide evidence for abstract syntactic processing
How are syntactically and semantically connected word sequences, or constituents,
represented in the human language system? An influential fMRI study, Pallier et al.(2011 …
represented in the human language system? An influential fMRI study, Pallier et al.(2011 …