Robert M. Nosofsky
Affiliations: | Indiana University, Bloomington, Bloomington, IN, United States |
Area:
categorization, mathematical psychologyGoogle:
"Robert Nosofsky"Mean distance: 13.88 (cluster 15) | S | N | B | C | P |
Cross-listing: PsychTree - MathTree
Parents
Sign in to add mentorWilliam K. Estes | grad student | Indiana University | |
R Duncan Luce | grad student | Indiana University |
Children
Sign in to add traineeEsra Aksu | grad student | Indiana University | |
Francisco J. Parada | grad student | Indiana University | |
Craig A. Sanders | grad student | ||
Ronaldo Vigo | grad student | Indiana University | |
Safa Zaki | grad student | Indiana University | |
Thomas J. Palmeri | grad student | 1991-1995 | Indiana University |
Pietro E. Michelucci | grad student | 2000 | Indiana University |
Andrew L. Cohen | grad student | 2002 | Indiana University |
Roger D. Stanton | grad student | 2000-2007 | Indiana University |
Gregory Edward Cox | grad student | 2009-2015 | Indiana University |
Mario Fifić | post-doc | Indiana University (PsychTree) | |
Todd M. Gureckis | post-doc | 2005-2007 | Indiana University |
Daniel R. Little | post-doc | 2008-2010 | Indiana University |
Stephen E. Denton | post-doc | 2009-2011 | Vanderbilt |
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Publications
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Nosofsky RM, Meagher BJ, Kumar P. (2022) Contrasting exemplar and prototype models in a natural-science category domain. Journal of Experimental Psychology. Learning, Memory, and Cognition |
Hu M, Nosofsky RM. (2021) Exemplar-model account of categorization and recognition when training instances never repeat. Journal of Experimental Psychology. Learning, Memory, and Cognition |
Nosofsky RM, Cao R, Harding SM, et al. (2020) Modeling short- and long-term memory contributions to recent event recognition. Journal of Experimental Psychology. Learning, Memory, and Cognition |
Sanders CA, Nosofsky RM. (2020) Training Deep Networks to Construct a Psychological Feature Space for a Natural-Object Category Domain Computational Brain & Behavior. 3: 229-251 |
Nosofsky RM, Slaughter C, McDaniel MA. (2019) Learning hierarchically organized science categories: simultaneous instruction at the high and subtype levels. Cognitive Research: Principles and Implications. 4: 48 |
Miyatsu T, Nosofsky RM, McDaniel MA. (2019) Effects of specific-level versus broad-level training for broad-level category learning in a complex natural science domain. Journal of Experimental Psychology. Applied |
Le Pelley ME, Newell BR, Nosofsky RM. (2019) Deferred Feedback Does Not Dissociate Implicit and Explicit Category-Learning Systems: Commentary on Smith et al. (2014). Psychological Science. 956797619841264 |
Nosofsky R, Zaki S. (2019) Math modeling, neuropsychology, and category learning: Trends in Cognitive Sciences. 3: 125-126 |
Nosofsky RM, McDaniel MA. (2019) Recommendations From Cognitive Psychology for Enhancing the Teaching of Natural-Science Categories Policy Insights From the Behavioral and Brain Sciences. 6: 21-28 |
Nosofsky RM, Sanders CA, Meagher BJ, et al. (2019) Search for the Missing Dimensions: Building a Feature-Space Representation for a Natural-Science Category Domain Computational Brain & Behavior. 3: 13-33 |