Publications

Reprint Requests

Found 125 results
Author [ Title(Asc)] Type Year
Filters: Author is Ashby, F Gregory  [Clear All Filters]
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 
R
Rünger, D., F Ashby G., Picard N., & Strick P. L. (2013).  Response-mode shifts during sequence learning of macaque monkeys. Psychological Research. 77(2), 223-233.
F Ashby, G., & W Maddox T. (1994).  A response time theory of separability and integrality in speeded classification. Journal of Mathematical Psychology. 38, 423–466.
F Ashby, G., & W Maddox T. (1991).  A response time theory of perceptual independence. Mathematical Psychology. 389–413.
W Maddox, T., F Ashby G., & Gottlob L. R. (1998).  Response time distributions in multidimensional perceptual categorization. Perception & Psychophysics. 60, 620–637.
F Ashby, G., Tein J-Y., & Balakrishnan JD. (1993).  Response time distributions in memory scanning. Journal of Mathematical Psychology. 37, 526–555.
Spiering, B. J., & F Ashby G. (2008).  Response processes in information-integration category learning. Neurobiology of Learning and Memory. 90(2), 330-338.
Ennis, D. M., & F Ashby G. (1993).  The relative sensitivities of same-different and identification judgment models to perceptual dependence. Psychometrika. 58, 257–279.
MacCallum, R., & F Ashby G. (1986).  Relationships between linear systems theory and covarian ce structure modeling. Journal of Mathematical Psychology. 30, 1–27.
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., & W Maddox T. (1993).  Relations between prototype, exemplar, and decision bound models of categorization. Journal of Mathematical Psychology. 37, 372–400.
P
Crossley, M. J., Madsen N. R., & F Ashby G. (2012).  Procedural learning of unstructured categories. Psychonomic Bulletin & Review. 19(6), 1202-1209.
F Ashby, G., Ell S. W., & Waldron E. M. (2003).  Procedural learning in perceptual categorization. Memory & Cognition. 31(7), 1114-1125.
Crossley, M. J., & F Ashby G. (2015).  Procedural learning during declarative control. Journal of Experimental Psychology: Learning, Memory & Cognition. 41(5), 1388-1403.
W Maddox, T., Prinzmetal W., Ivry R. B., & F Ashby G. (1994).  A probabilistic multidimensional model of location information. Psychological Research. 56, 66–77.
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., & W Lee W. (1991).  Predicting similarity and categorization from identification. Journal of Experimental Psychology: General. 120, 150.
J Smith, D., F Ashby G., Berg M. E., Murphy M. S., Spiering B., Cook R. G., et al. (2011).  Pigeons' categorization may be exclusively nonanalytic. Psychonomic Bulletin & Review. 18(2), 414-421.
F Ashby, G., & W Lee W. (1993).  Perceptual variability as a fundamental axiom of perceptual science. Advances in psychology. 99, 369–399.
W Maddox, T., & F Ashby G. (1996).  Perceptual separability, decisional separability, and the identification–speeded classification relationship. Journal of Experimental Psychology: Human perception and performance. 22, 795.
Townsend, J. T., Hu G. G., & F Ashby G. (1981).  Perceptual sampling of orthogonal straight line features. Psychological Research. 43, 259–275.
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.

Pages