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Neuropsychology|January 30, 2018
Quantitative modeling of category learning deficits in various patient populationsJ Vincent Filoteo, W Todd Maddox, F Gregory AshbyJournal of Experimental Psychology. Learning, Memory, and Cognition|February 23, 2026
Is there a criterion in criterial learning? Insights from studying feedback delaysMatthew J Crossley, Benjamin O Pelzer, 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 BohilPlos Computational Biology|October 2, 2018
Linking signal detection theory and encoding models to reveal independent neural representations from neuroimaging dataFabian A Soto, Lauren E Vucovich, F Gregory AshbyJournal of Experimental Psychology. General|October 11, 2012
Erasing the engram: the unlearning of procedural skillsMatthew J Crossley, F Gregory Ashby, W Todd MaddoxNeuroimage|July 26, 2016
Dissociable changes in functional network topology underlie early category learning and development of automaticityFabian A Soto, Danielle S Bassett, F Gregory AshbyComputational Brain & Behavior|June 21, 2021
Modulation of Dopamine for Adaptive Learning: A Neurocomputational ModelJeffrey B Inglis, Vivian V Valentin, 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 AshbyPageof 12