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Roger D. Stanton

Affiliations: 
Indiana University, Bloomington, Bloomington, IN, United States 
Area:
Categorization
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"Roger Stanton"
Mean distance: 15.93 (cluster 15)
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Robert M. Nosofsky grad student 2000-2007 Indiana University Bloomington
 (Dissociations of classification: Evidence against the multiple learning-systems hypothesis.)

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Publications

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Stanton RD, Nosofsky RM. (2013) Category number impacts rule-based and information-integration category learning: a reassessment of evidence for dissociable category-learning systems. Journal of Experimental Psychology. Learning, Memory, and Cognition. 39: 1174-91
Kurtz KJ, Levering KR, Stanton RD, et al. (2013) Human learning of elemental category structures: revising the classic result of Shepard, Hovland, and Jenkins (1961). Journal of Experimental Psychology. Learning, Memory, and Cognition. 39: 552-72
Stanton RD, Nosofsky RM. (2007) Feedback interference and dissociations of classification: evidence against the multiple-learning-systems hypothesis. Memory & Cognition. 35: 1747-58
Nosofsky RM, Stanton RD. (2006) Speeded old-new recognition of multidimensional perceptual stimuli: modeling performance at the individual-participant and individual-item levels. Journal of Experimental Psychology. Human Perception and Performance. 32: 314-34
Nosofsky RM, Stanton RD, Zaki SR. (2005) Procedural interference in perceptual classification: implicit learning or cognitive complexity? Memory & Cognition. 33: 1256-71
Nosofsky RM, Stanton RD. (2005) Speeded classification in a probabilistic category structure: contrasting exemplar-retrieval, decision-boundary, and prototype models. Journal of Experimental Psychology. Human Perception and Performance. 31: 608-29
Zaki SR, Nosofsky RM, Stanton RD, et al. (2003) Prototype and exemplar accounts of category learning and attentional allocation: a reassessment. Journal of Experimental Psychology. Learning, Memory, and Cognition. 29: 1160-73
Stanton RD, Nosofsky RM, Zaki SR. (2002) Comparisons between exemplar similarity and mixed prototype models using a linearly separable category structure. Memory & Cognition. 30: 934-44
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