Publications

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Found 125 results
Author Title [ Type(Desc)] Year
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Journal Article
Valentin, V. V., W Maddox T., & F Ashby G. (2014).  A computational model of the temporal dynamics of plasticity in procedural learning: Sensitivity to feedback timing. Frontiers in Psychology. 5, 643.
Crossley, M. J., F Ashby G., & W Maddox T. (2014).  Context-dependent savings in procedural category learning. Brain and Cognition. 92C, 1-10.
F Ashby, G., Turner B. O., & Horvitz J. C. (2010).  Cortical and basal ganglia contributions to habit learning and automaticity. Trends in Cognitive Science. 14(5), 208-215.
Waldschmidt, J. G., & F Ashby G. (2011).  Cortical and striatal contributions to automaticity in information-integration categorization.. Neuroimage. 56(3), 1791-802.
F Ashby, G. (1987).  Counting and timing models in psychophysics and the conjoint Weber's law. Journal of Mathematical Psychology. 31, 419–428.
J Smith, D., Johnston J. J. R., Musgrave R. D., Zakrzewski A. C., Boomer J., Church B. A., et al. (2014).  Cross-modal information integration in category learning. Attention, Perception, & Psychophysics. 76(5), 1473-1484.
F Ashby, G., W Maddox T., & W Lee W. (1994).  On the dangers of averaging across subjects when using multidimensional scaling or the similarity-choice model. Psychological Science. 5, 144–151.
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.
F Ashby, G., & Townsend J. T. (1980).  Decomposing the reaction time distribution: Pure insertion and selective influence revisited. Journal of Mathematical Psychology. 21, 93–123.
Mumford, J. A., Turner B. O., F Ashby G., & Poldrack R. A. (2012).  Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses. NeuroImage. 59(3), 2636-2643.
J Smith, D., Boomer J., Zakrzewski A. C., Roeder J. L., Church B. A., & F Ashby G. (2014).  Deferred feedback sharply dissociates implicit and explicit category learning. Psychological Science. 25(2), 447-457.
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.
F Ashby, G. (1982).  Deriving exact predictions from the cascade model. Psychological Review. 89, 599 607.
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.
F Ashby, G., Queller S., & Berretty P. M. (1999).  On the dominance of unidimensional rules in unsupervised categorization. Perception & Psychophysics. 61, 1178–1199.
Ell, S. W., & F Ashby G. (2004).  Dynamical trajectories in category learning. Perception & Psychophysics. 66(8), 1318-1340.
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.
Waldron, E. M., & F Ashby G. (2001).  The effects of concurrent task interference on category learning: Evidence for multiple category learning systems. Psychonomic Bulletin & Review. 8, 168–176.
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.
Crossley, M. J., F Ashby G., & W Maddox T. (2013).  Erasing the engram: The unlearning of procedural skills. Journal of Experimental Psychology: General. 142(3), 710-741.
F Ashby, G. (1988).  Estimating the parameters of multidimensional signal detection theory from simultaneous ratings on separate stimulus components. Perception & Psychophysics. 44, 195–204.
Helie, S., Roeder J. L., & F Ashby G. (2010).  Evidence for cortical automaticity in rule-based categorization. Journal of Neuroscience. 30(42), 14225-14234.
Townsend, J. T., & F Ashby G. (1982).  Experimental test of contemporary mathematical models of visual letter recognition.. Journal of Experimental Psychology: Human Perception and Performance. 8, 834.
F Ashby, G., & Waldschmidt J. G. (2008).  Fitting computational models to fMRI. Behavioral Research Methods. 40(3), 713-721.

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