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Teaching
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Mark Steyvers

Mark Steyvers
Professor
Department of Cognitive Sciences
University of California, Irvine


Curriculum Vitae

Google Scholar Profile
 

Research Interests

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Higher order cognition (learning/ memory/ decision-making/ metacognition)

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Bayesian computational modeling 

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Wisdom of crowds / Collective Intelligence / Crowdsourcing

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Machine learning

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Cognitive neuroscience (joint models for behavior and neuroimaging data)

Representative papers

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Learning, Memory, and Metacognitive Control

Steyvers, M. and Benjamin, A.S. (in press).  The joint contribution of participation and performance to learning functions: Exploring the effects of age in large-scale data sets. Behavior Research Methods.

Bennett, S.T., Benjamin, A.S., Mistry, P.K., and Steyvers, M. (2018).  Making a wiser crowd: Benefits of individual metacognitive control on crowd performance. Computational Brain and Behavior, 1, 90-99

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Bayesian Models of Cognition

Tauber, S., Navarro, D.J., Perfors, A., & Steyvers, M. (2017). Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory. Psychological Review.

Hemmer, P. & Steyvers, M. (2009). A Bayesian Account of Reconstructive Memory. Topics in Cognitive Science, 1, 189-202.

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Joint Models of Behavior and Neuroimaging

Turner, B.M., Forstmann, B.U., Wagenmakers, E.J., Brown, S.D., Sederberg, P.B., and Steyvers, M. (2013). A Bayesian framework for simultaneously modeling neural and behavioral data. NeuroImage, 72, 193-206.

Turner, B.M., Rodriguez, C.A., Norcia, T.M., McClure, S.M., & Steyvers, M. (2016). Why More Is Better: Simultaneous Modeling of EEG, fMRI, and Behavioral Data. NeuroImage, 128, 96-115.

Cassey, P., Gaut. G., Steyvers, M., Brown, S.D. (2016). A generative joint model for spike trains and saccades during perceptual decision making. Psychonomic Bulletin and Review, 23, 1757-1778.

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Wisdom of Crowds / Collective Intelligence

Bennett, S.T., Benjamin, A.S., Mistry, P.K., and Steyvers, M. (2018).  Making a wiser crowd: Benefits of individual metacognitive control on crowd performance. Computational Brain and Behavior, 1, 90-99

Lee, M.D., Steyvers, M., de Young, M., & Miller. B.J. (2012). Inferring expertise in knowledge and prediction ranking tasks. Topics in Cognitive Science, 4, 151-163.

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Topic Modeling and Semantic Cognition

Rubin, T., Chambers, A., Smyth, P., & Steyvers, M. (2012). Statistical Topic Models for Multi-Label Document Classification. Journal of Machine Learning, 88(1), 157-208.

Griffiths, T.L., Steyvers, M., & Tenenbaum, J.B.T. (2007). Topics in Semantic Representation. Psychological Review, 114(2), 211-244.