The domain-general multiple demand (MD) network does not support core aspects of language comprehension: a large-scale fMRI investigation
Aside from the language-selective left-lateralized frontotemporal network, language
comprehension sometimes recruits a domain-general bilateral frontoparietal network implicated in …
comprehension sometimes recruits a domain-general bilateral frontoparietal network implicated in …
Composition is the core driver of the language-selective network
The frontotemporal language network responds robustly and selectively to sentences. But
the features of linguistic input that drive this response and the computations that these …
the features of linguistic input that drive this response and the computations that these …
An attempt to conceptually replicate the dissociation between syntax and semantics during sentence comprehension
Is sentence structure processed by the same neural and cognitive resources that are recruited
for processing word meanings, or do structure and meaning rely on distinct resources? …
for processing word meanings, or do structure and meaning rely on distinct resources? …
'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, PNAS), …
in the human language system? An influential fMRI study, Pallier et al. (2011, PNAS), …
[HTML][HTML] Probabilistic atlas for the language network based on precision fMRI data from> 800 individuals
…, O Jouravlev, L Rakocevic, B Pritchett, M Siegelman… - Scientific Data, 2022 - nature.com
Two analytic traditions characterize fMRI language research. One relies on averaging activations
across individuals. This approach has limitations: because of inter-individual variability …
across individuals. This approach has limitations: because of inter-individual variability …
Lack of selectivity for syntax relative to word meanings throughout the language network
To understand what you are reading now, your mind retrieves the meanings of words and
constructions from a linguistic knowledge store (lexico-semantic processing) and identifies the …
constructions from a linguistic knowledge store (lexico-semantic processing) and identifies the …
Testing the limits of natural language models for predicting human language judgements
T Golan, M Siegelman, N Kriegeskorte… - Nature Machine …, 2023 - nature.com
Neural network language models appear to be increasingly aligned with how humans process
and generate language, but identifying their weaknesses through adversarial examples …
and generate language, but identifying their weaknesses through adversarial examples …
Graded sensitivity to structure and meaning throughout the human language network
Human language has a remarkable capacity to encode complex ideas. This capacity arises
because language is compositional the form and arrangement of words in sentences (…
because language is compositional the form and arrangement of words in sentences (…
[HTML][HTML] Functional identification of language-responsive channels in individual participants in MEG investigations
Making meaningful inferences about the functional architecture of the language system
requires the ability to refer to the same neural units across individuals and studies. Traditional …
requires the ability to refer to the same neural units across individuals and studies. Traditional …
An attempt to replicate a dissociation between syntax and semantics during sentence comprehension reported by Dapretto & Bookheimer (1999, Neuron)
Does processing the meanings of individual words vs. assembling words into phrases and
sentences rely on distinct pools of cognitive and neural resources? Many have argued for …
sentences rely on distinct pools of cognitive and neural resources? Many have argued for …