Ryskin, R. & Spivey, M. (2023). Toward sophisticated models of naturalistic language behavior. Physics of Life Reviews. [PDF].
     Comment on “Beyond Simple Laboratory Studies” by A. Maselli et al. (2023)

Ryskin, R. & Nieuwland, M. (2023). Prediction during language comprehension: what is next? Trends in Cognitive Sciences

Cain, E. & Ryskin, R. (2023). Diachronic Language Change and Its Influence on Lexico-semantic Representations Across the Lifespan. Proceedings of the Annual Meeting of the Cognitive Science Society, Sydney, AUS

Chen, S., Nathaniel, S., Ryskin, R., & Gibson, E. (2023). The effect of context on noisy-channel sentence comprehension. Cognition

Poliak, M., Ryskin, R., Braginsky, M., & Gibson, E. (2023). It’s Not What You Say but How You Say It: Evidence from Russian Shows Robust Effects of the Structural Prior on Noisy Channel Inferences. Journal of Experimental Psychology: Learning, Memory, & Cognition

Ryskin, R., Salinas, M., Piantadosi, S., & Gibson, E. (2023). Real-time inference in communication across cultures: evidence from a non-industrialized society. Journal of Experimental Psychology: General. [PsyArXiv]

Chen, X., Affourtit, J., Ryskin, R., Regev, T., Norman-Haignere, S., Jouravlev, O., Malik-Moraleda, S., Kean, H., Varley, R., & Fedorenko, E. (2023). The human language system does not support music processing. Cerebral Cortex [bioRxiv]

Zhang, Z., Bergen, L., Paunov, A., Ryskin, R., & Gibson, E. (2023). Scalar Implicature is Sensitive to Contextual Alternatives. Cognitive Science, 47(2), e13238.

Zhang, Y., Ryskin, R., & Gibson, E. (2023). A Noisy-Channel Approach to Depth-Charge Illusions. Cognition. [Preprint]

Fedorenko, E., Ryskin, R., Gibson, E. (2022). Agrammatic output in non-fluent/Broca’s aphasia as a rational behavior. Aphasiology

Cain, E., Ryskin, R., & Yu, C. (2022). Quantifying cross-situational statistics during parent-child toy play. Proceedings of the Annual Meeting of the Cognitive Science Society, Toronto, CA

Rezaii, N., Mahowald, K, Ryskin, R., Dickerson, B. & Gibson, E. (2022). A Lexico-Syntactic Trade-off in Language Production: Evidence from Primary Progressive Aphasia. Proceedings of the National Academy of Sciences, 119 (25). e2120203119.

Liu, Y., Ryskin, R., Futrell, R., & Gibson, E. (2022). A verb-frame frequency account of constraints on long-distance dependencies in English. Cognition, 222, 104902.

Ryskin, R., Bergen, L., & Gibson, E. (2021, preprint). Agreement errors are predicted by rational inference in sentence processing. [PsyArXiv]

Ryskin, R., & Fang, X. (2021). The Many Timescales of Context in Language Processing. Psychology of Learning and Motivation. [PDF]

Ryskin, R., Stearns, L., Bergen, L., Eddy, M., Fedorenko, E., & Gibson, E. (2021). An ERP index of real-time error correction within a noisy-channel framework of human communication. Neuropsychologia, 158, 107855. [UC Open Access]

Ryskin, R., Stevenson, S., & Heller, D. (2020). Probabilistic weighting of perspectives in dyadic communication. Proceedings of the Annual Meeting of the Cognitive Science Society. [PDF] [data & code]

Ryskin, R., Levy, R. P., & Fedorenko, E. (2020). Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward. Neuropsychologia, 136, 107258. [PDF]

Ryskin, R., Kurumada, C., & Brown‐Schmidt, S. (2019). Information integration in modulation of pragmatic inferences during online language comprehension. Cognitive science, 43(8), e12769. [OSF project] [PDF]

Ryskin, R., Ng, S., Mimnaugh, K., Brown-Schmidt, S., & Federmeier, K. D. (2019). Talker-specific predictions during language processing. Language, Cognition, & Neuroscience, 35 (6). 797-812. [OSF project] [Free download]

Ryskin, R. Futrell, R., Kiran, S., & Gibson, E. (2018). Comprehenders model the nature of noise in the environment. Cognition, 181. 141-150. Preregistration Challenge Winner [OSF project] [Manuscript PDF]

Ryskin, R., Qi, Z., Covington, N. V., Duff, M., & Brown-Schmidt, S. (2018). Knowledge and learning of verb biases in amnesia. Brain and Language, 180-182. 62–83. [Manuscript PDF]

Ryskin, R. & Brown-Schmidt, S. (2017). The malleability of linguistic representations poses a challenge to the priming-based experimental approach. Behavioral and Brain Sciences, 40, E309. [PDF]
     Commentary on Branigan & Pickering (2017), An Experimental Approach to Linguistic Representation.

Ryskin, R., Qi, Z., Duff, M., & Brown-Schmidt, S. (2017). Verb biases are shaped through lifelong learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43. 781-794. [PDF]

Ryskin, R., Wang, R. F., & Brown-Schmidt, S. (2016). Listeners use speaker identity to access representations of spatial perspective during online language comprehension. Cognition, 147, 75-84. [PDF]

Ryskin, R., Benjamin, A. S., Tullis, J. & Brown-Schmidt, S. (2015). Perspective-taking in comprehension, production, and memory: an individual differences approach. Journal of Experimental Psychology: General,144, 898-915. [PDF]

Ryskin, R.., Yoon, S., & Brown-Schmidt (2015). Language, Memory, and Perspectives, in Emerging Trends in the Social and Behavioral Sciences (eds.) Robert Scott and Stephen Kosslyn, Hoboken, NJ: John Wiley and Sons. [PDF]

Brown-Schmidt, S., Yoon, S., & Ryskin, R.* A. (2015). People as Contexts in Conversation. In B. H. Ross (Ed.), Psychology of Learning and Motivation, Vol. 62, pp. 59-99. San Diego, CA: Elsevier Academic Press. [PDF]

Ryskin, R., Brown-Schmidt, S., Canseco-Gonzalez, E., Yiu, L., & Nguyen, E. (2014). Visuospatial perspective-taking in conversation and the role of bilingual experience. Journal of Memory and Language, 74, 46-76. [PDF]

Ryskin, R. & Brown-Schmidt, S. (2014). Do adults show a curse of knowledge in false-belief reasoning? A robust estimate of the true effect size. PLoS ONE, 9(3): e92406. [PDF]

Rapp, D.N., Hinze, S.R., Kohlhepp, K., & Ryskin, R. (2014). Reducing reliance on inaccurate information. Memory & Cognition, 42, 11-26.[PDF]