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Annals of the New York Academy of Sciences|December 25, 2010
Human category learning 2.0F Gregory Ashby, W Todd MaddoxBehavioural Processes|May 26, 2004
Dissociating explicit and procedural-learning based systems of perceptual category learningW Todd Maddox, F Gregory AshbyBrain and Cognition|September 7, 2016
Dopamine dependence in aggregate feedback learning: A computational cognitive neuroscience approachVivian V Valentin, W Todd Maddox, F Gregory AshbyBrain and Cognition|December 3, 2014
Context-dependent savings in procedural category learningMatthew J Crossley, F Gregory Ashby, W Todd MaddoxJournal of Experimental Psychology. Learning, Memory, and Cognition|April 20, 2018
Increased cognitive load enables unlearning in procedural category learningMatthew J Crossley, W Todd Maddox, F Gregory AshbyMemory & Cognition|September 11, 2002
Observational versus feedback training in rule-based and information-integration category learningF Gregory Ashby, W Todd Maddox, Corey J BohilMemory & Cognition|June 14, 2002
Multiple attention systems in perceptual categorizationW Todd Maddox, F Gregory Ashby, Elliott M WaldronJournal of Experimental Psychology. Learning, Memory, and Cognition|August 20, 2003
Delayed feedback effects on rule-based and information-integration category learningW Todd Maddox, F Gregory Ashby, Corey J BohilJournal of Experimental Psychology. General|October 11, 2012
Erasing the engram: the unlearning of procedural skillsMatthew J Crossley, F Gregory Ashby, W Todd MaddoxPageof 23