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Rachel Ryskin

Showing results (1-10 of 21) with videos related to

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Open Mind : Discoveries in Cognitive Science|January 7, 2026
Semantic Representations Are Updated Across the Lifespan Reflecting Diachronic Language ChangeEllis Cain, Rachel Ryskin
The Behavioral and Brain Sciences|January 19, 2018
The malleability of linguistic representations poses a challenge to the priming-based experimental approachRachel Ryskin, Sarah Brown-Schmidt
Trends in Cognitive Sciences|September 13, 2023
Prediction during language comprehension: what is next?Rachel Ryskin, Mante S Nieuwland
Cognition|December 13, 2022
A noisy-channel approach to depth-charge illusionsYuhan Zhang, Rachel Ryskin, Edward Gibson
Psychonomic Bulletin & Review|January 28, 2025
Noisy-channel language comprehension in aphasia: A Bayesian mixture modeling approachRachel Ryskin, Edward Gibson, Swathi Kiran
Aphasiology|January 12, 2024
Agrammatic output in non-fluent, including Broca's, aphasia as a rational behaviorEvelina Fedorenko, Rachel Ryskin, Edward Gibson
Neuropsychologia|November 16, 2019
Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forwardRachel Ryskin, Roger P Levy, Evelina Fedorenko
Cognitive Science|August 26, 2019
Information Integration in Modulation of Pragmatic Inferences During Online Language ComprehensionRachel Ryskin, Chigusa Kurumada, Sarah Brown-Schmidt
Journal of Experimental Psychology. Learning, Memory, and Cognition|May 22, 2023
It is not what you say but how you say it: Evidence from Russian shows robust effects of the structural prior on noisy channel inferencesMoshe Poliak, Rachel Ryskin, Mika Braginsky, et al.
Cognition|June 11, 2023
The effect of context on noisy-channel sentence comprehensionSihan Chen, Sarah Nathaniel, Rachel Ryskin, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Open Mind : Discoveries in Cognitive Science|January 7, 2026
Semantic Representations Are Updated Across the Lifespan Reflecting Diachronic Language ChangeEllis Cain, Rachel Ryskin
The Behavioral and Brain Sciences|January 19, 2018
The malleability of linguistic representations poses a challenge to the priming-based experimental approachRachel Ryskin, Sarah Brown-Schmidt
Trends in Cognitive Sciences|September 13, 2023
Prediction during language comprehension: what is next?Rachel Ryskin, Mante S Nieuwland
Cognition|December 13, 2022
A noisy-channel approach to depth-charge illusionsYuhan Zhang, Rachel Ryskin, Edward Gibson
Psychonomic Bulletin & Review|January 28, 2025
Noisy-channel language comprehension in aphasia: A Bayesian mixture modeling approachRachel Ryskin, Edward Gibson, Swathi Kiran
Aphasiology|January 12, 2024
Agrammatic output in non-fluent, including Broca's, aphasia as a rational behaviorEvelina Fedorenko, Rachel Ryskin, Edward Gibson
Neuropsychologia|November 16, 2019
Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forwardRachel Ryskin, Roger P Levy, Evelina Fedorenko
Cognitive Science|August 26, 2019
Information Integration in Modulation of Pragmatic Inferences During Online Language ComprehensionRachel Ryskin, Chigusa Kurumada, Sarah Brown-Schmidt
Journal of Experimental Psychology. Learning, Memory, and Cognition|May 22, 2023
It is not what you say but how you say it: Evidence from Russian shows robust effects of the structural prior on noisy channel inferencesMoshe Poliak, Rachel Ryskin, Mika Braginsky, et al.
Cognition|June 11, 2023
The effect of context on noisy-channel sentence comprehensionSihan Chen, Sarah Nathaniel, Rachel Ryskin, et al.
Pageof 3