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Mark A. Pitt, PhD

Affiliations:

Psychology

Ohio State University, Columbus, Columbus, OH

Area:

Psycholinguistics

Website:

http://lpl.psy.ohio-state.edu/

Google:

Mean distance: 16.17 (cluster 15)

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Parents

Robert G. Crowder	grad student		Yale
Arthur Gary Samuel	grad student	1989	Yale

Children

Gary E. Starr	grad student	1996	Ohio State
Katherine Love Smith	grad student	2000	Ohio State
Lisa Shoaf	grad student	2002	Ohio State
Shawn A. Weil	grad student	1998-2003	Ohio State
Erik Tracy	grad student	2006	Ohio State
Dahee Kim	grad student	2013	Ohio State
Christine M. Szostak	grad student	2013	Ohio State
Inhan Kang	post-doc	2022-	Ohio State
Scott F. Kiesling	post-doc	1999-2000	Ohio State
Joseph DW Stephens	post-doc	2006-2007	Ohio State

Collaborators

BETA: Related publications

Publications

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Pereira CLW, Zhou R, Pitt MA, et al. (2022) Probabilistic Decision-Making in Children With Dyslexia. Frontiers in Neuroscience. 16: 782306
Lee SH, Kim D, Opfer JE, et al. (2021) A number-line task with a Bayesian active learning algorithm provides insights into the development of non-symbolic number estimation. Psychonomic Bulletin & Review
Zhou R, Myung JI, Pitt MA. (2021) The scaled target learning model: Revisiting learning in the balloon analogue risk task. Cognitive Psychology. 128: 101407
Chang J, Kim J, Zhang BT, et al. (2021) Data-driven experimental design and model development using Gaussian process with active learning. Cognitive Psychology. 125: 101360
Yang J, Pitt MA, Ahn WY, et al. (2020) ADOpy: a python package for adaptive design optimization. Behavior Research Methods
Ahn WY, Gu H, Shen Y, et al. (2020) Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm. Scientific Reports. 10: 12091
Chang J, Nikolaev P, Carpena-Núñez J, et al. (2020) Efficient Closed-loop Maximization of Carbon Nanotube Growth Rate using Bayesian Optimization. Scientific Reports. 10: 9040
Freggens M, Thomas A, Pitt MA. (2019) A test of linguistic influences in the perceptual organization of speech. Attention, Perception & Psychophysics
Pitt MA, Myung JI. (2019) Robust Modeling Through Design Optimization Computational Brain & Behavior. 2: 200-201
Walsh MM, Gluck KA, Gunzelmann G, et al. (2018) Mechanisms underlying the spacing effect in learning: A comparison of three computational models. Journal of Experimental Psychology. General. 147: 1325-1348

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