Publications
Reprint Requests
Categorization as a special case of decision-making or choice.
In A. A. J. Marley (Ed.), Choice, decision, and measurement: Essays in honor of R. Duncan Luce .
(1997). The categorization experiment: Experimental design and data analysis.
In E. J. Wagenmakers & J. T. Wixted (Eds.), Stevens handbook of experimental psychology and cognitive neuroscience, Fourth Edition, Volume Five: Methodology. New York: Wiley. 307-.
(2018). Computational cognitive neuroscience.
In W. Batchelder, H. Colonius, E. Dzhafarov, & J. Myung (Eds.), New handbook of mathematical psychology, Volume 2. NY: Cambridge University Press. 223-270.
(2018). Computational cognitive neuroscience models of categorization.
In R. Sun (Ed.), The Cambridge Handbook of Computational Cognitive Sciences (pp.400-425). Cambridge University Press.
(2023). COVIS.
In E. M. Pothos & A. J. Wills (Eds.), Formal approaches in categorization. 65-87.
(2011).
(2001).
Categorization as probability density estimation.
Journal of Mathematical Psychology. 39, 216–233.
(1995). Categorization response time with multidimensional stimuli.
Perception & Psychophysics. 55, 11–27.
(1994). Categorization training increases the perceptual separability of novel dimensions.
Cognition. 139, 105-129.
(2015). Category label and response location shifts in category learning.
Psychological Research. 74(2), 219-236.
(2010). Category learning and multiple memory systems.
Trends in Cognitive Science. 9(2), 83-89.
(2005). Category learning deficits in Parkinson's disease.
Neuropsychology. 17(1), 115-24.
(2003). The cognitive neuroscience of implicit category learning.
Advances in consciousness research. 48, 109–142.
(2003). Comparing decision bound and exemplar models of categorization.
Perception & psychophysics. 53, 49–70.
(1993). Comparing the biased choice model and multidimensional decision bound models of identification.
Mathematical Social Sciences. 23, 175–197.
(1992). Complex decision rules in categorization: Contrasting novice and experienced performance.
Journal of Experimental Psychology: Human Perception and Performance. 18, 50.
(1992). Computational cognitive neuroscience: Building and testing biologically plausible computational models of neuroscience, neuroimaging, and behavioral data.
Statistical and process models for cognitive neuroscience and aging. 15–58.
(2007). A computational model of how cholinergic interneurons protect striatal-dependent learning..
J Cogn Neurosci. 23(6), 1549-66.
(2011). A computational model of the temporal dynamics of plasticity in procedural learning: Sensitivity to feedback timing.
Frontiers in Psychology. 5, 643.
(2014). Context-dependent savings in procedural category learning.
Brain and Cognition. 92C, 1-10.
(2014). Cortical and basal ganglia contributions to habit learning and automaticity.
Trends in Cognitive Science. 14(5), 208-215.
(2010). Cortical and striatal contributions to automaticity in information-integration categorization..
Neuroimage. 56(3), 1791-802.
(2011). Counting and timing models in psychophysics and the conjoint Weber's law.
Journal of Mathematical Psychology. 31, 419–428.
(1987). Cross-modal information integration in category learning.
Attention, Perception, & Psychophysics. 76(5), 1473-1484.
(2014).