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When more is less: Feedback effects in perceptual category learning
Cognition 108 (2):578 (2008)
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Citations of this work
The Algorithmic Level Is the Bridge Between Computation and Brain.Bradley C. Love - 2015 - Topics in Cognitive Science 7 (2):230-242.
Optimal sequencing during category learning: Testing a dual-learning systems perspective.Sharon M. Noh, Veronica X. Yan, Robert A. Bjork & W. Todd Maddox - 2016 - Cognition 155 (C):23-29.
Toward a dual-learning systems model of speech category learning.Bharath Chandrasekaran, Seth R. Koslov & W. T. Maddox - 2014 - Frontiers in Psychology 5.
A computational model of the temporal dynamics of plasticity in procedural learning: sensitivity to feedback timing.Vivian V. Valentin, W. Todd Maddox & F. Gregory Ashby - 2014 - Frontiers in Psychology 5.
When and how less is more: reply to Tharp and Pickering.Marci S. DeCaro, Krista D. Carlson, Robin D. Thomas & Sian L. Beilock - 2009 - Cognition 111 (3):415-421.
References found in this work
On the genesis of abstract ideas.M. I. Posner & S. W. Keele - 1968 - Journal of Experimental Psychology 77 (2p1):353-363.
Rule-plus-exception model of classification learning.Robert M. Nosofsky, Thomas J. Palmeri & Stephen C. McKinley - 1994 - Psychological Review 101 (1):53-79.
SUSTAIN: A Network Model of Category Learning.Bradley C. Love, Douglas L. Medin & Todd M. Gureckis - 2004 - Psychological Review 111 (2):309-332.
A neuropsychological theory of multiple systems in category learning.F. Gregory Ashby, Leola A. Alfonso-Reese, And U. Turken & Elliott M. Waldron - 1998 - Psychological Review 105 (3):442-481.
A neurobiological theory of automaticity in perceptual categorization.F. Gregory Ashby, John M. Ennis & Brian J. Spiering - 2007 - Psychological Review 114 (3):632-656.
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