Todd Gureckis

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Bradley C. LoveProfessor of Cognitive and Decision Sciences, University College LondonAdresse e-mail validée de ucl.ac.uk
Doug MarkantDepartment of Psychological Science, University of North Carolina at CharlotteAdresse e-mail validée de uncc.edu
John V McDonnellNew York UniversityAdresse e-mail validée de nyu.edu
Robert GoldstoneDistinguished Professor, Indiana UniversityAdresse e-mail validée de indiana.edu
Anna CoenenNew York UniversityAdresse e-mail validée de nyu.edu
Alexander S RichNew York UniversityAdresse e-mail validée de nyu.edu
Neil BramleyThe University of EdinburghAdresse e-mail validée de ed.ac.uk
David J. HalpernUniversity of PennsylvaniaAdresse e-mail validée de sas.upenn.edu
Brenden LakeAssistant Professor of Psychology and Data Science, New York UniversityAdresse e-mail validée de nyu.edu
Anselm RotheNew York UniversityAdresse e-mail validée de nyu.edu
Azzurra RuggeriMPRG iSearch - Max Planck Institute for Human Development, BerlinAdresse e-mail validée de mpib-berlin.mpg.de
Matthew CrumpAssociate Professor, Brooklyn College of CUNYAdresse e-mail validée de brooklyn.cuny.edu
Laurence T MaloneyNew York UniversityAdresse e-mail validée de nyu.edu
Mordechai Z. JuniUniveristy of California, Santa BarbaraAdresse e-mail validée de psych.ucsb.edu
Bob RehderNew York UniversityAdresse e-mail validée de nyu.edu
Fei Xu (徐绯)Professor of Psychology, UC BerkeleyAdresse e-mail validée de berkeley.edu
Douglas MedinProfessorAdresse e-mail validée de northwestern.edu
Jay B. MartinPhD candidate, New York UniversityAdresse e-mail validée de nyu.edu
Lila DavachiProfessor of Psychology, Columbia UniversityAdresse e-mail validée de columbia.edu
George KachergisResearch Scientist, Stanford UniversityAdresse e-mail validée de stanford.edu

Todd Gureckis

Professor of Psychology, New York University

Adresse e-mail validée de nyu.edu - Page d'accueil

cognitive science self-directed learning decision making education cognitive modeling


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Evaluating Amazon’s Mechanical Turk as a tool for experimental behavioral research MJC Crump, JV McDonnell, TM Gureckis PloS ONE 8 (3), e57410, 2013	1586	2013
SUSTAIN: a network model of category learning. BC Love, DL Medin, TM Gureckis Psychological Review 111 (2), 309, 2004	870	2004
Self-directed learning: A cognitive and computational perspective TM Gureckis, DB Markant Perspectives on Psychological Science 7 (5), 464-481, 2012	296	2012
psiTurk: An open-source framework for conducting replicable behavioral experiments online TM Gureckis, JB Martin, J McDonnell, AS Rich, D Markant, A Coenen, ... Behavioral Research Methods, 2015	204	2015
Collective behavior RL Goldstone, TM Gureckis Topics in cognitive science 1 (3), 412-438, 2009	143	2009
Is it better to select or to receive? Learning via active and passive hypothesis testing. DB Markant, TM Gureckis Journal of Experimental Psychology: General 143 (1), 94, 2014	140	2014
Short-term gains, long-term pains: How cues about state aid learning in dynamic environments TM Gureckis, BC Love Cognition 113 (3), 293-313, 2009	111	2009
Enhanced memory as a common effect of active learning DB Markant, A Ruggeri, TM Gureckis, F Xu Mind, Brain, and Education 10 (3), 142-152, 2016	104	2016
Models in search of a brain BC Love, TM Gureckis Cognitive, Affective, & Behavioral Neuroscience 7 (2), 90-108, 2007	94	2007
Emergent processes in group behavior RL Goldstone, ME Roberts, TM Gureckis Current Directions in Psychological Science 17 (1), 10-15, 2008	88	2008
Learning in noise: Dynamic decision-making in a variable environment TM Gureckis, BC Love Journal of Mathematical Psychology 53 (3), 180-193, 2009	82	2009
Thinking in groups TM Gureckis, RL Goldstone Pragmatics & Cognition 14 (2), 293-311, 2006	77	2006
Strategies to intervene on causal systems are adaptively selected A Coenen, B Rehder, TM Gureckis Cognitive psychology 79, 102-133, 2015	76	2015
The effect of the internal structure of categories on perception TM Gureckis, RL Goldstone Proceedings of the 30th annual conference of the cognitive science society …, 2008	69	2008
Deep Neural Networks Predict Category Typicality Ratings for Images. BM Lake, W Zaremba, R Fergus, TM Gureckis CogSci, 2015	66	2015
How you named your child: Understanding the relationship between individual decision making and collective outcomes TM Gureckis, RL Goldstone Topics in Cognitive Science 1 (4), 651-674, 2009	66	2009
Deconstructing the effect of self-directed study on episodic memory D Markant, S DuBrow, L Davachi, TM Gureckis Memory & cognition 42 (8), 1211-1224, 2014	57	2014
Common mechanisms in infant and adult category learning TM Gureckis, BC Love Infancy 5 (2), 173-198, 2004	55	2004
Regulatory fit and systematic exploration in a dynamic decision-making environment. AR Otto, AB Markman, TM Gureckis, BC Love Journal of Experimental Psychology: Learning, Memory, and Cognition 36 (3), 797, 2010	51	2010
Re-evaluating dissociations between implicit and explicit category learning: An event-related fMRI study TM Gureckis, TW James, RM Nosofsky Journal of Cognitive Neuroscience 23 (7), 1697-1709, 2011	50	2011

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