Todd M. Gureckis

New York University, New York, NY, United States 
Computational modeling, learning, categorization
"Todd Gureckis"
Mean distance: 14.91 (cluster 15)


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Richard Hallworth research assistant 1997-1998 UT Health San Antonio
Bradley C. Love grad student 2001-2005 UT Austin
 (Mechanisms and constraints underlying implicit sequence learning.)
Robert Lee Goldstone post-doc 2005-2007 Indiana University
Robert M. Nosofsky post-doc 2005-2007 Indiana University


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Lisa Zaval research assistant 2008-2009 NYU
Nathaniel J. Blanco research assistant 2009-2012 NYU
Carol Jew research assistant 2011-2012 NYU
Jay B. Martin grad student 2010- NYU
Alexander Rich grad student 2013- NYU
David Halpern grad student 2014- NYU
Anselm Rothe grad student 2014- NYU
Pamela J Osborn Popp grad student 2017- New York University
Jerad Fields grad student 2009-2010 NYU
Mordechai Z. Juni grad student 2008-2012 NYU
Douglas B. Markant grad student 2008-2013 NYU
John McDonnell grad student 2008-2013 NYU
Anna Coenen grad student 2012-2017 NYU
David J. Halpern grad student 2014-2020 New York University
Vivek Yadav grad student 2019-2020 New York University
Ili Ma post-doc NYU
Shannon Tubridy post-doc 2014- NYU
Neil Bramley post-doc 2017- NYU
George Kachergis post-doc 2015-2016 NYU
Angela Radulescu post-doc 2020-2022 NYU


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Matthew Crump collaborator NYU
Lila Davachi collaborator NYU
Sarah DuBrow collaborator NYU
Thomas W. James collaborator Indiana University
Laurence T. Maloney collaborator NYU
Arthur B. Markman collaborator NYU
Ross Otto collaborator NYU
Michael E. Roberts collaborator Indiana University
Bob Rehder collaborator 2008- NYU
Azzurra Ruggeri collaborator 2015- Max Plank Institute for Biological Cybernetics
Fei Xu collaborator 2015- UC Berkeley
Douglas Lee Medin collaborator 2003-2003 Northwestern
 (summer research intern)
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Halpern DJ, Tubridy S, Davachi L, et al. (2023) Identifying causal subsequent memory effects. Proceedings of the National Academy of Sciences of the United States of America. 120: e2120288120
Bramley NR, Jones A, Gureckis TM, et al. (2022) Children's failure to control variables may reflect adaptive decision-making. Psychonomic Bulletin & Review
Li ZW, Bramley NR, Gureckis TM. (2021) Expectations about future learning influence moment-to-moment feelings of suspense. Cognition & Emotion. 1-22
Ludwin-Peery E, Bramley NR, Davis E, et al. (2021) Limits on simulation approaches in intuitive physics. Cognitive Psychology. 127: 101396
Ludwin-Peery E, Bramley NR, Davis E, et al. (2020) Broken Physics: A Conjunction-Fallacy Effect in Intuitive Physical Reasoning. Psychological Science. 956797620957610
Nussenbaum K, Cohen AO, Davis ZJ, et al. (2020) Causal Information-Seeking Strategies Change Across Childhood and Adolescence. Cognitive Science. 44: e12888
Coenen A, Ruggeri A, Bramley NR, et al. (2019) Testing one or multiple: How beliefs about sparsity affect causal experimentation. Journal of Experimental Psychology. Learning, Memory, and Cognition
Ruggeri A, Markant DB, Gureckis TM, et al. (2019) Memory enhancements from active control of learning emerge across development. Cognition. 186: 82-94
Maloney L, Juni MZ, Bercovitch D, et al. (2019) Title: Trading off probability and reward in structured lottery tasks Journal of Vision. 19: 144b
Rich AS, Gureckis TM. (2019) Lessons for artificial intelligence from the study of natural stupidity Nature Machine Intelligence. 1: 174-180
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