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Psychological Review|April 7, 2017
A neural interpretation of exemplar theoryF Gregory Ashby, Luke RosedahlPsychological Research|June 11, 2011
Learning and transfer of category knowledge in an indirect categorization taskSebastien Helie, F Gregory AshbyCognitive, Affective & Behavioral Neuroscience|April 7, 2021
The impact of training methodology and representation on rule-based categorization: An fMRI studySébastien Hélie, Farzin Shamloo, Hanru Zhang, et al.Neuropsychologia|April 26, 2006
Focal putamen lesions impair learning in rule-based, but not information-integration categorization tasksShawn W Ell, Natalie L Marchant, Richard B IvryAttention, Perception & Psychophysics|July 28, 2009
Criterial noise effects on rule-based category learning: the impact of delayed feedbackShawn W Ell, A David Ing, W Todd MaddoxTrends in Cognitive Sciences|January 26, 2005
Category learning and multiple memory systemsF Gregory Ashby, Jeffrey B O'BrienJournal of Vision|June 28, 2019
A difficulty predictor for perceptual category learningLuke A Rosedahl, F Gregory AshbyPsychonomic Bulletin & Review|July 9, 2008
The Prep statistic as a measure of confidence in model fittingF Gregory Ashby, Jeffrey B O'BrienPsychological Science|December 17, 2008
Initial training with difficult items facilitates information integration, but not rule-based category learningBrian J Spiering, F Gregory AshbyBehavior Research Methods|August 14, 2008
Fitting computational models to fMRIF Gregory Ashby, Jennifer G WaldschmidtPageof 12