Publications
Multiple attention systems in perceptual categorization.
Memory & Cognition. 30, 325–339.
(2002). Multiple stages of learning in perceptual categorization: evidence and neurocomputational theory.
Psychonomic Bulletin & Review. 22(6), 1598-1613.
(2015). Multiple systems of perceptual category learning: Theory and cognitive tests.
Handbook of categorization in cognitive science. 547–572.
(2005). On the nature of implicit categorization.
Psychonomic Bulletin & Review. 6, 363–378.
(1999). A neural interpretation of exemplar theory.
Psychological Review. 124(4), 472-482.
(2017). Neural networks underlying the metacognitive uncertainty response.
Cortex. 71, 306-22.
(2015). A neurobiological theory of automaticity in perceptual categorization.
Psychological Review. 114(3), 632-656.
(2007). The neurobiology of categorization.
The Making of Human Concepts. Oxford University Press, New York. 75–98.
(2010). The neurobiology of category learning.
Behavioral and Cognitive Neuroscience Reviews. 3(2), 101-113.
(2004). The neurobiology of human category learning.
Trends in cognitive sciences. 5, 204–210.
(2001). A neurocomputational account of cognitive deficits in Parkinson's disease.
Neuropsychologia. 50(9), 2290-2302.
(2012). A neurocomputational model of automatic sequence production.
Journal of Cognitive Neuroscience. 27(7), 1412-1426.
(2015). A neurocomputational theory of how explicit learning bootstraps early procedural learning.
Frontiers in Computational Neuroscience. 7, 177.
(2013). A neurocomputational theory of how rule-guided behaviors become automatic.
Psychological Review. 128, 488-508.
(2021). The neurodynamics of cognition: A tutorial on computational cognitive neuroscience.
Journal of Mathematical Psychology. 55(4), 273-289.
(2011). The neuropsychological bases of category learning.
Current Directions in Psychological Science. 9, 10–14.
(2000). A neuropsychological theory of multiple systems in category learning.
Psychological Review. 105, 442-481.
(1998). A neuropsychological theory of positive affect and its influence on cognition.
Psychological Review. 106, 529-550.
(1999).
(2018). Novel representations that support rule-based categorization are acquired on-the-fly during category learning.
Psychological Research. 83, 544-566.
(2019). Observational versus feedback training in rule-based and information-integration category learning.
Memory & Cognition. 30, 666–677.
(2002). 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). Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience.
Neural Networks. 89, 31-38.
(2017). Perceptual sampling of orthogonal straight line features.
Psychological Research. 43, 259–275.
(1981). Perceptual separability, decisional separability, and the identification–speeded classification relationship.
Journal of Experimental Psychology: Human perception and performance. 22, 795.
(1996).