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Found 125 results
Author Title [ Type(Desc)] Year
Filters: Author is Ashby, F Gregory  [Clear All Filters]
Book
F Ashby, G. (2011).  Statistical analysis of fMRI data.
Townsend, J. T., & F Ashby G. (1983).  Stochastic modeling of elementary psychological processes.
Book Chapter
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., Paul E. J., & ToddMaddox W. (2011).  COVIS. In E. M. Pothos & A. J. Wills (Eds.), Formal approaches in categorization. 65-87.
F Ashby, G., Valentin V. V., & Turken AU. (2002).  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.
F Ashby, G. (1992).  Multidimensional models of categorization. In F. G. Ashby (Ed.), Multidimensional models of perception and cognition. 449-483.
F Ashby, G. (1992).  Multivariate probability distributions. In F. G. Ashby (Ed.), Multidimensional models of perception and cognition. 1-34.
F Ashby, G., & W Lee W. (1993).  Perceptual variability as a fundamental axiom of perceptual science. Advances in psychology. 99, 369–399.
F Ashby, G., & W Maddox T. (1991).  A response time theory of perceptual independence. Mathematical Psychology. 389–413.
Journal Article
Casale, M. B., Roeder J. L., & F Ashby G. (2012).  Analogical transfer in perceptual categorization. Memory & Cognition. 40(3), 434-449.
F Ashby, G., & Crossley M. J. (2012).  Automaticity and multiple memory systems. Wiley Interdisciplinary Reviews in Cognitive Science. 3(3), 363-376.
Helie, S., Waldschmidt J. G., & F Ashby G. (2010).  Automaticity in rule-based and information-integration categorization. Attention, Perception, & Psychophysics. 72(4), 1013-1031.
F Ashby, G. (1983).  A biased random walk model for two choice reaction times. Journal of Mathematical Psychology. 27, 277–297.
Soto, F. A., Waldschmidt J. G., Helie S., & F Ashby G. (2013).  Brain activity across the development of automatic categorization: a comparison of categorization tasks using multi-voxel pattern analysis. NeuroImage. 71, 284-297.
F Ashby, G., & Alfonso-Reese L. A. (1995).  Categorization as probability density estimation. Journal of Mathematical Psychology. 39, 216–233.
F Ashby, G., Boynton G., & W Lee W. (1994).  Categorization response time with multidimensional stimuli. Perception & Psychophysics. 55, 11–27.
W Maddox, T., Glass B. D., O'Brien J. B., J Filoteo V., & F Ashby G. (2010).  Category label and response location shifts in category learning. Psychological Research. 74(2), 219-236.
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., 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).  The cognitive neuroscience of implicit category learning. Advances in consciousness research. 48, 109–142.
W Maddox, T., & F Ashby G. (1993).  Comparing decision bound and exemplar models of categorization. Perception & psychophysics. 53, 49–70.
F Ashby, G., W Lee W., & Balakrishnan JD. (1992).  Comparing the biased choice model and multidimensional decision bound models of identification. Mathematical Social Sciences. 23, 175–197.
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., & Valentin V. V. (2007).  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.
F Ashby, G., & Crossley M. J. (2011).  A computational model of how cholinergic interneurons protect striatal-dependent learning.. J Cogn Neurosci. 23(6), 1549-66.

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