Publications
Categorization response time with multidimensional stimuli.
Perception & Psychophysics. 55, 11–27.
(1994). Categorization as probability density estimation.
Journal of Mathematical Psychology. 39, 216–233.
(1995).
(2001). Brain activity across the development of automatic categorization: a comparison of categorization tasks using multi-voxel pattern analysis.
NeuroImage. 71, 284-297.
(2013). A biased random walk model for two choice reaction times.
Journal of Mathematical Psychology. 27, 277–297.
(1983). Automaticity in rule-based and information-integration categorization.
Attention, Perception, & Psychophysics. 72(4), 1013-1031.
(2010). Automaticity and multiple memory systems.
Wiley Interdisciplinary Reviews in Cognitive Science. 3(3), 363-376.
(2012). Analogical transfer in perceptual categorization.
Memory & Cognition. 40(3), 434-449.
(2012). Statistical decision theory.
In F. G. Ashby, H. Colonius, & E. Dzhafarov (Eds.), The new handbook of mathematical psychology, Volume 3 (pp. 265-310). Cambridge University Press.
(2023). A response time theory of perceptual independence.
Mathematical Psychology. 389–413.
(1991). Perceptual variability as a fundamental axiom of perceptual science.
Advances in psychology. 99, 369–399.
(1993). The neural basis of general recognition theory.
In J. W. Houpt & L. M. Blaha (Eds.), Mathematical models of perception and cognition: A Festschrift for James T. Townsend (pp. 1 - 31). New York: Psychology Press. 1-31.
(2016). Multivariate probability distributions.
In F. G. Ashby (Ed.), Multidimensional models of perception and cognition. 1-34.
(1992). Multiple systems of perceptual category learning: Theory and cognitive tests.
In H. Cohen and C. Lefebvre (Eds.), Handbook of Categorization in Cognitive Science (Second Edition). 157–188.
(2017). Multidimensional models of categorization.
In F. G. Ashby (Ed.), Multidimensional models of perception and cognition. 449-483.
(1992). Mathematical models of human learning.
In F. G. Ashby, H. Colonius, & E. Dzhafarov (Eds.), The new handbook of mathematical psychology, Volume 3 (pp. 163-217). Cambridge University Press.
(2023). An introduction to fMRI.
In B. U. Forstmann & E.-J. Wagenmakers (Eds.), An introduction to model-based cognitive neuroscience. 91–112.
(2015). Encoding models in neuroimaging.
In F. G. Ashby, H. Colonius, & E. Dzhafarov (Eds.), The new handbook of mathematical psychology, Volume 3 (pp. 421-472). Cambridge University Press.
(2023). The effects of positive affect and arousal on working memory and executive attention.
In S. Moore & M. Oaksford (Eds.), Emotional Cognition: From Brain to Behaviour. 245–288.
(2002). COVIS.
In E. M. Pothos & A. J. Wills (Eds.), Formal approaches in categorization. 65-87.
(2011). Computational cognitive neuroscience models of categorization.
In R. Sun (Ed.), The Cambridge Handbook of Computational Cognitive Sciences (pp.400-425). Cambridge University Press.
(2023). 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). 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). 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).