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1
The Domain-General Multiple Demand Network Is More Active in Early Balanced Bilinguals Than Monolinguals During Executive Processing
In: MIT Press (2022)
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2
Grammatical cues are largely, but not completely, redundant with word meanings in natural language ...
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3
An ERP index of real-time error correction within a noisy-channel framework of human communication.
Ryskin, Rachel; Stearns, Laura; Bergen, Leon. - : eScholarship, University of California, 2021
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4
Syntactic dependencies correspond to word pairs with high mutual information
In: Association for Computational Linguistics (2021)
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5
The Language Network is Recruited but Not Required for Nonverbal Event Semantics
In: MIT Press (2021)
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6
Breakdowns in Informativeness of Naturalistic Speech Production in Primary Progressive Aphasia
In: MDPI (2021)
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7
Lack of selectivity for syntax relative to word meanings throughout the language network
In: PMC (2021)
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8
Neural encoding and production of functional morphemes in the posterior temporal lobe
In: Nature (2021)
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9
Syntactic dependencies correspond to word pairs with high mutual information
In: Association for Computational Linguistics (2021)
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10
Breakdowns in Informativeness of Naturalistic Speech Production in Primary Progressive Aphasia
In: Multidisciplinary Digital Publishing Institute (2021)
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11
An ERP index of real-time error correction within a noisy-channel framework of human communication
In: bioRxiv (2021)
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12
Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward
In: Prof. Fedorenko (2021)
Abstract: © 2019 Most current accounts of language comprehension agree on a role for prediction, but they disagree on the importance of domain-general executive resources in predictive behavior. In this opinion piece, we briefly review the evidence for linguistic prediction, and the findings that have been used to argue that prediction draws on domain-general executive resources. The most compelling evidence is an apparent reduction in predictive behavior during language comprehension in populations with lower executive resources, such as children, older adults, and second language (L2) learners. We propose that these between-population differences can be explained without invoking executive resources. Instead, differences in the quantity and kind of language experience that these populations bring to bear may affect the probability of engaging in predictive behavior, or simply make prediction effects more difficult to detect in paradigms designed for young adult native speakers. Thus, domain-specific prediction mechanisms remain a viable possibility. We discuss ways to further test accounts of linguistic prediction that do vs. do not require domain-general executive resources, using behavioral, computational, and brain imaging approaches.
URL: https://hdl.handle.net/1721.1/138410
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13
No evidence for differences among language regions in their temporal receptive windows
In: Elsevier (2021)
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14
No evidence for differences among language regions in their temporal receptive windows
In: Elsevier (2021)
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15
Comprehension of computer code relies primarily on domain-general executive brain regions
In: eLife (2021)
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16
Functional Network Dynamics of the Language System
In: Oxford University Press (2021)
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17
The Small and Efficient Language Network of Polyglots and Hyper-polyglots
In: bioRxiv (2021)
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18
The domain-general multiple demand (MD) network does not support core aspects of language comprehension: a large-scale fMRI investigation
In: Journal of Neuroscience (2021)
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19
The language system in the human brain ...
AIxIA 2021; Fedorenko, Evelina. - : Underline Science Inc., 2021
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20
Similarity of computations across domains does not imply shared implementation: The case of language comprehension
In: Curr Dir Psychol Sci (2021)
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