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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Grammatical cues are largely, but not completely, redundant with word meanings in natural language ... Mahowald, Kyle; Diachek, Evgeniia; Gibson, Edward. - : arXiv, 2022 BASE Show details 2 The domain-general multiple demand (MD) network does not support core aspects of language comprehension: a large-scale fMRI investigation Diachek, Evgeniia; Blank, Idan; Siegelman, Matthew... In: Journal of Neuroscience (2021) BASE Show details 3 The Domain-General Multiple Demand (MD) Network Does Not Support Core Aspects of Language Comprehension: A Large-Scale fMRI Investigation Diachek, Evgeniia; Blank, Idan; Siegelman, Matthew... In: J Neurosci (2020) BASE Show details 4 Composition is the core driver of the language-selective network Mollica, Francis; Siegelman, Matthew; Diachek, Evgeniia; Piantadosi, Steven Thomas; Mineroff, Zachary A; Futrell, Richard Landy Jones; Kean, Hope; Qian, Peng; Fedorenko, Evelina G In: MIT Press (2019) Abstract: 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 language areas support remain debated. Two key features of sentences are typically confounded in natural linguistic input: words in sentences (a) are semantically and syntactically combinable into phrase- and clause-level meanings, and (b) occur in an order licensed by the language’s grammar. Inspired by recent psycholinguistic work establishing that language processing is robust to word order violations, we hypothesized that the core linguistic computation is composition, and, thus, can take place even when the word order violates the grammatical constraints of the language. This hypothesis predicts that a linguistic string should elicit a sentence-level response in the language network provided that the words in that string can enter into dependency relationships as in typical sentences. We tested this prediction across two fMRI experiments (total N = 47) by introducing a varying number of local word swaps into naturalistic sentences, leading to progressively less syntactically well-formed strings. Critically, local dependency relationships were preserved because combinable words remained close to each other. As predicted, word order degradation did not decrease the magnitude of the blood oxygen level–dependent response in the language network, except when combinable words were so far apart that composition among nearby words was highly unlikely. This finding demonstrates that composition is robust to word order violations, and that the language regions respond as strongly as they do to naturalistic linguistic input, providing that composition can take place. ; National Institutes of Health: (R00-HD-057522, R01-DC-016607 and R01-DC016950) URL: https://hdl.handle.net/1721.1/126576 BASE Hide details

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