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Found 178 results
[ Author(Asc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
F Ashby, G., & O'Brien J. B. (2008).  The P_rep statistic as a measure of confidence in model fitting. Psychonomic Bulletin & Review. 15(1), 16-27.
F Ashby, G., & O'Brien J. B. (2007).  The effects of positive versus negative feedback on information-integration category learning. Perception & Psychophysics. 69(6), 865-878.
F Ashby, G., Ennis J. M., & Spiering B. J. (2007).  A neurobiological theory of automaticity in perceptual categorization. Psychological Review. 114(3), 632-656.
F Ashby, G., & O'Brien J. B. (2005).  Category learning and multiple memory systems. Trends in Cognitive Science. 9(2), 83-89.
F Ashby, G., Ell S. W., Valentin V. V., & Casale M. B. (2005).  FROST: a distributed neurocomputational model of working memory maintenance. Journal of Cognitive Neuroscience. 17(11), 1728-1743.
F Ashby, G., & W Maddox T. (2005).  Human category learning. Annual Review of Psychology. 56, 149-178.
F Ashby, G., & Spiering B. J. (2004).  The neurobiology of category learning. Behavioral and Cognitive Neuroscience Reviews. 3(2), 101-113.
F Ashby, G., Noble S., J Filoteo V., Waldron E. M., & Ell S. W. (2003).  Category learning deficits in Parkinson's disease. Neuropsychology. 17(1), 115-24.
F Ashby, G., & Casale M. B. (2003).  A model of dopamine modulated cortical activation. Neural Networks. 16(7), 973-984.
F Ashby, G., Ell S. W., & Waldron E. M. (2003).  Procedural learning in perceptual categorization. Memory & Cognition. 31(7), 1114-1125.
F Ashby, G., W Maddox T., & Bohil C. J. (2002).  Observational versus feedback training in rule-based and information-integration category learning. Memory & Cognition. 30, 666–677.
F Ashby, G., & Ennis D. M. (2002).  A Thurstone-Coombs model of concurrent ratings with sensory and liking dimensions. Journal of Sensory Studies. 17, 43–59.
F Ashby, G., Waldron E. M., W Lee W., & Berkman A. (2001).  Suboptimality in human categorization and identification. Journal of Experimental Psychology: General. 130, 77.
F Ashby, G., Isen A. M., & others (1999).  A neuropsychological theory of positive affect and its influence on cognition. Psychological Review. 106, 529-550.
F Ashby, G., Alfonso-Reese L. A., Waldron E. M., & others (1998).  A neuropsychological theory of multiple systems in category learning. Psychological Review. 105, 442-481.
F Ashby, G., & Berretty P. M. (1997).  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 .
F Ashby, G., Prinzmetal W., Ivry R., & W Maddox T. (1996).  A formal theory of feature binding in object perception. Psychological Review. 103, 165-192.
F Ashby, G., & Alfonso-Reese L. A. (1995).  Categorization as probability density estimation. Journal of Mathematical Psychology. 39, 216–233.
F Ashby, G. (1995).  Resurrecting information theory: A review of "Information, Sensation, and Perception," by Kenneth H. Norwich. The American Journal of Psychology. 108, 609-614.
F Ashby, G., & W Maddox T. (1992).  Complex decision rules in categorization: Contrasting novice and experienced performance. Journal of Experimental Psychology: Human Perception and Performance. 18, 50.
F Ashby, G. (1992).  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.
F Ashby, G. (1992).  Multivariate probability distributions. In F. G. Ashby (Ed.), Multidimensional models of perception and cognition. 1-34.
F Ashby, G. (1992).  Multidimensional models of categorization. In F. G. Ashby (Ed.), Multidimensional models of perception and cognition. 449-483.
F Ashby, G., & W Lee W. (1992).  On the relationship among identification, similarity, and categorization: Reply to Nosofsky and Smith (1992). Journal of Experimental Psychology: General. 121, 385-393.
F Ashby, G., & Gott R. E. (1988).  Decision rules in the perception and categorization of multidimensional stimuli. Journal of Experimental Psychology: Learning, Memory, and Cognition. 14, 33.

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