Robert M. Nosofsky

Affiliations: 
Indiana University, Bloomington, Bloomington, IN, United States 
Area:
categorization, mathematical psychology
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"Robert Nosofsky"
Cross-listing: Neurotree - PsychTree

Children

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Esra Aksu grad student Indiana University (Neurotree)
Francisco J. Parada grad student Indiana University (Neurotree)
Craig A. Sanders grad student (Neurotree)
Ronaldo Vigo grad student Indiana University (Neurotree)
Safa Zaki grad student Indiana University (Neurotree)
Thomas J. Palmeri grad student 1991-1995 Indiana University (Neurotree)
Pietro E. Michelucci grad student 2000 Indiana University (Neurotree)
Andrew L. Cohen grad student 2002 Indiana University (Neurotree)
Roger D. Stanton grad student 2000-2007 Indiana University (Neurotree)
Gregory Edward Cox grad student 2009-2015 Indiana University (Neurotree)
Mario Fifić post-doc Indiana University (PsychTree)
Todd M. Gureckis post-doc 2005-2007 Indiana University (Neurotree)
Daniel R. Little post-doc 2008-2010 Indiana University (Neurotree)
Stephen E. Denton post-doc 2009-2011 Vanderbilt (Neurotree)
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Publications

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Nosofsky RM, Cook RG, Qadri MAJ, et al. (2023) Modeling within-session dynamics of categorical and item-memory mechanisms in pigeons. Psychonomic Bulletin & Review
Meagher BJ, Nosofsky RM. (2023) Testing formal cognitive models of classification and old-new recognition in a real-world high-dimensional category domain. Cognitive Psychology. 145: 101596
Nosofsky RM, Hu M. (2022) Category structure and region-specific selective attention. Memory & Cognition
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
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