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Found 182 results
Author Title Type [ Year(Asc)]
2007
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., & 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.
2006
Ell, S. W., & F Ashby G. (2006).  The effects of category overlap on information-integration and rule-based category learning. Perception & Psychophysics. 68(6), 1013-1026.
2005
F Ashby, G., & O'Brien J. B. (2005).  Category learning and multiple memory systems. Trends in Cognitive Science. 9(2), 83-89.
Ashby, F. G., & Casale M. B. (2005).  Empirical dissociations between rule-based and similarity-based categorization. Behavioral and Brain Sciences. 28(1), 15-16.
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., & Valentin V. V. (2005).  Multiple systems of perceptual category learning: Theory and cognitive tests. Handbook of categorization in cognitive science. 547–572.
2004
W Maddox, T., F Ashby G., A Ing D., & Pickering A. D. (2004).  Disrupting feedback processing interferes with rule-based but not information-integration category learning. Memory & Cognition. 32(4), 582-591.
W Maddox, T., & F Ashby G. (2004).  Dissociating explicit and procedural-learning based systems of perceptual category learning. Behavioral Processes. 66(3), 309-332.
Ell, S. W., & F Ashby G. (2004).  Dynamical trajectories in category learning. Perception & Psychophysics. 66(8), 1318-1340.
F Ashby, G., & Spiering B. J. (2004).  The neurobiology of category learning. Behavioral and Cognitive Neuroscience Reviews. 3(2), 101-113.
2003
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., & Bohil C. J. (2003).  Delayed feedback effects on rule-based and information-integration category learning. Journal of Experimental Psychology: Learning, Memory & Cognition. 29(4), 650-662.
Ennis, D. M., & F. Ashby G. (2003).  Fitting decision bound models to identification or categorization data.
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.
2002
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.
W Maddox, T., F Ashby G., & Waldron E. M. (2002).  Multiple attention systems in perceptual categorization. Memory & Cognition. 30, 325–339.
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., & Ell S. W. (2002).  Single versus multiple systems of learning and memory. Stevens' handbook of experimental psychology.
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.
Alfonso-Reese, L. A., F Ashby G., & Brainard D. H. (2002).  What makes a categorization task difficult?. Attention, Perception, & Psychophysics. 64, 570–583.

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