Publications
Reprint Requests
Quantitative modeling of category learning deficits in various patient populations.
Neuropsychology. 31, 862-876.
(2017). Procedural learning of unstructured categories.
Psychonomic Bulletin & Review. 19(6), 1202-1209.
(2012). Procedural learning in perceptual categorization.
Memory & Cognition. 31(7), 1114-1125.
(2003). Procedural learning during declarative control.
Journal of Experimental Psychology: Learning, Memory & Cognition. 41(5), 1388-1403.
(2015). A probabilistic multidimensional model of location information.
Psychological Research. 56, 66–77.
(1994). The P_rep statistic as a measure of confidence in model fitting.
Psychonomic Bulletin & Review. 15(1), 16-27.
(2008). Predicting similarity and categorization from identification.
Journal of Experimental Psychology: General. 120, 150.
(1991). Pigeons' categorization may be exclusively nonanalytic.
Psychonomic Bulletin & Review. 18(2), 414-421.
(2011). Perceptual variability as a fundamental axiom of perceptual science.
Advances in psychology. 99, 369–399.
(1993). Perceptual separability, decisional separability, and the identification–speeded classification relationship.
Journal of Experimental Psychology: Human perception and performance. 22, 795.
(1996). Perceptual sampling of orthogonal straight line features.
Psychological Research. 43, 259–275.
(1981). Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience.
Neural Networks. 89, 31-38.
(2017). Pattern recognition by human and machine. Review of "Adaptive Pattern Recognition and Neural Networks", by Yoh-Han Pao.
Journal of Mathematical Psychology. 36, 146-153.
(1992). Observational versus feedback training in rule-based and information-integration category learning.
Memory & Cognition. 30, 666–677.
(2002). Novel representations that support rule-based categorization are acquired on-the-fly during category learning.
Psychological Research. 83, 544-566.
(2019).
(2018).
(2023). A neuropsychological theory of positive affect and its influence on cognition.
Psychological Review. 106, 529-550.
(1999). A neuropsychological theory of multiple systems in category learning.
Psychological Review. 105, 442-481.
(1998). The neuropsychological bases of category learning.
Current Directions in Psychological Science. 9, 10–14.
(2000). The neurodynamics of cognition: A tutorial on computational cognitive neuroscience.
Journal of Mathematical Psychology. 55(4), 273-289.
(2011). A neurocomputational theory of how rule-guided behaviors become automatic.
Psychological Review. 128, 488-508.
(2021). A neurocomputational theory of how explicit learning bootstraps early procedural learning.
Frontiers in Computational Neuroscience. 7, 177.
(2013). A neurocomputational model of automatic sequence production.
Journal of Cognitive Neuroscience. 27(7), 1412-1426.
(2015). A neurocomputational account of cognitive deficits in Parkinson's disease.
Neuropsychologia. 50(9), 2290-2302.
(2012).