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Syntactic dependencies correspond to word pairs with high mutual information
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In: Association for Computational Linguistics (2021)
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Breakdowns in Informativeness of Naturalistic Speech Production in Primary Progressive Aphasia
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In: MDPI (2021)
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Lack of selectivity for syntax relative to word meanings throughout the language network
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In: PMC (2021)
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No evidence for differences among language regions in their temporal receptive windows
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In: Elsevier (2021)
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Abstract:
© 2020 The Authors The “core language network” consists of left frontal and temporal regions that are selectively engaged in linguistic processing. Whereas functional differences among these regions have long been debated, many accounts propose distinctions in terms of representational grain-size—e.g., words vs. phrases/sentences—or processing time-scale, i.e., operating on local linguistic features vs. larger spans of input. Indeed, the topography of language regions appears to overlap with a cortical hierarchy reported by Lerner et al. (2011) wherein mid-posterior temporal regions are sensitive to low-level features of speech, surrounding areas—to word-level information, and inferior frontal areas—to sentence-level information and beyond. However, the correspondence between the language network and this hierarchy of “temporal receptive windows” (TRWs) is difficult to establish because the precise anatomical locations of language regions vary across individuals. To directly test this correspondence, we first identified language regions in each participant with a well-validated task-based localizer, which confers high functional resolution to the study of TRWs (traditionally based on stereotactic coordinates); then, we characterized regional TRWs with the naturalistic story listening paradigm of Lerner et al. (2011), which augments task-based characterizations of the language network by more closely resembling comprehension “in the wild”. We find no region-by-TRW interactions across temporal and inferior frontal regions, which are all sensitive to both word-level and sentence-level information. Therefore, the language network as a whole constitutes a unique stage of information integration within a broader cortical hierarchy. ; NIH award (R00-HD057522) ; NIH award (R01-DC016607) ; NIH award (R01-DC016950)
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URL: https://hdl.handle.net/1721.1/135909.2
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Comprehension of computer code relies primarily on domain-general executive brain regions
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In: eLife (2021)
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The Small and Efficient Language Network of Polyglots and Hyper-polyglots
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In: bioRxiv (2021)
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Composition is the core driver of the language-selective network
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In: MIT Press (2019)
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Toward a universal decoder of linguistic meaning from brain activation
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In: Nature Communications (2018)
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Tracking Colisteners’ Knowledge States During Language Comprehension
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In: Prof. Gibson via Courtney Crummett (2018)
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Neural correlate of the construction of sentence meaning
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In: PNAS (2016)
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Processing temporal presuppositions: an event-related potential study
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In: Prof. Gibson via Courtney Crummett (2016)
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Don’t Underestimate the Benefits of Being Misunderstood
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In: Prof. Gibson via Courtney Crummett (2016)
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Accommodating Presuppositions Is Inappropriate in Implausible Contexts
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In: Prof. Gibson via Courtney Crummett (2014)
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The interaction of syntactic and lexical information sources in language processing: The case of the noun-verb ambiguity
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In: Gibson via Courtney Crummett (2012)
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Processing relative clauses in supportive contexts
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In: Gibson via Courtney Crummett (2011)
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Some Regions within Broca's Area Do Respond More Strongly to Sentences than to Linguistically Degraded Stimuli: A Comment on Rogalsky and Hickok (2011)
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In: MIT Press (2011)
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Functional specificity for high-level linguistic processing in the human brain
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In: PNAS (2011)
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The need for quantitative methods in syntax and semantics research
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In: Gibson via Courtney Crummett (2010)
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Language processing in the occipital cortex of congenitally blind
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In: PNAS (2010)
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Weak Quantitative Standards in Linguistics Research ; Trends in Cognitive Science
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In: Prof. Gibson (2010)
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