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Found 125 results
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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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F Ashby, G., & Townsend J. T. (1986).  Varieties of perceptual independence. Psychological Review. 93, 154-179.
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Ell, S. W., F Ashby G., & Hutchinson S. (2012).  Unsupervised category learning with integral-dimension stimuli. Quarterly Journal of Experimental Psychology. 65(8), 1537-1562.
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F Ashby, G., & Perrin N. A. (1988).  Toward a unified theory of similarity and recognition. Psychological Review. 95, 124-150.
J Smith, D., Zakrzewski A. C., Herberger E. R., Boomer J., Roeder J. L., F Ashby G., et al. (2015).  The time course of explicit and implicit categorization. Attention, Perception, & Psychophysics. 77(7), 2476-2490.
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. (1982).  Testing the assumptions of exponential, additive reaction time models. Memory & Cognition. 10, 125–134.
Townsend, J. T., Hu G. G., & F Ashby G. (1980).  A test of visual feature sampling independence with orthogonal straight lines. Bulletin of the Psychonomic Society. 15, 163–166.
Perrin, N. A., & F Ashby G. (1991).  A test for perceptual independence with dissimilarity data. Applied Psychological Measurement. 15, 79–93.
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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.
Balakrishnanl, JD., & F Ashby G. (1992).  Subitizing: Magical numbers or mere superstition?. Psychological Research. 54, 80–90.
Balakrishnan, JD., & F Ashby G. (1991).  Is subitizing a unique numerical ability?. Perception & Psychophysics. 50, 555–564.
Townsend, J. T., & F Ashby G. (1983).  Stochastic modeling of elementary psychological processes.
F Ashby, G. (1989).  Stochastic general recognition theory. Human information processing: Measures, mechanisms, and models. 435–457.
F Ashby, G., & W Maddox T. (1998).  Stimulus categorization. Measurement, judgment, and decision making. 251–301.
F Ashby, G. (2011).  Statistical analysis of fMRI data.
F Ashby, G. (2014).  Is state-trace analysis an appropriate tool for assessing the number of cognitive systems?. Psychonomic Bulletin & Review. 21(4), 935-946.
Turner, B. O., Mumford J. A., Poldrack R. A., & F Ashby G. (2012).  Spatiotemporal activity estimation for multivoxel pattern analysis with rapid event-related designs. NeuroImage. 62(3), 1429-1438.
F Ashby, G., & Ell S. W. (2002).  Single versus multiple systems of learning and memory. Stevens' handbook of experimental psychology.
Helie, S., Paul E. J., & F Ashby G. (2012).  Simulating the effects of dopamine imbalance on cognition: From positive affect to Parkinson's disease. Neural Networks. 32, 74-85.
J Filoteo, V., Paul E. J., F Ashby G., Frank G. K. W., Helie S., Rockwell R., et al. (2014).  Simulating category learning and set shifting deficits in patients weight-restored from anorexia nervosa. Neuropsychology. 28(5), 741-51.
W Maddox, T., & F Ashby G. (1998).  Selective attention and the formation of linear decision boundaries: Comment on McKinley and Nosofsky (1996). Journal of Experimental Psychology: Human Perception & Performance. 24, 301-321.
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Casale, M. B., & F Ashby G. (2008).  A role for the perceptual representation memory system in category learning. Perception & Psychophysics. 70(6), 983-999.
Rosedahl, L. A., Eckstein M. P., & F Ashby G. (2018).  Retinal-specific category learning. Nature Human Behaviour. 1.
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.

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