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Found 8 results
Author Title Type [ Year(Asc)]
Filters: First Letter Of Last Name is I  [Clear All Filters]
2023
Ashby, F. G., Crossley M. J., & Inglis J. B. (2023).  Mathematical models of human learning. In F. G. Ashby, H. Colonius, & E. Dzhafarov (Eds.), The new handbook of mathematical psychology, Volume 3 (pp. 163-217). Cambridge University Press.
2022
Inglis, J. B., Bird J., & Ashby F. G. (2022).  A general recognition theory model for identifying an ideal stimulus. Attention, Perception, & Psychophysics. 84, 2408–2421.
2020
Inglis, J. B., Valentin V. V., & F Ashby G. (2020).  Modulation of dopamine for adaptive learning: A neurocomputational model. Computational Brain & Behavior. 1–19.
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.
1999
F Ashby, G., Isen A. M., & others (1999).  A neuropsychological theory of positive affect and its influence on cognition. Psychological Review. 106, 529-550.
1996
F Ashby, G., Prinzmetal W., Ivry R., & W Maddox T. (1996).  A formal theory of feature binding in object perception. Psychological Review. 103, 165-192.
1994
W Maddox, T., Prinzmetal W., Ivry R. B., & F Ashby G. (1994).  A probabilistic multidimensional model of location information. Psychological Research. 56, 66–77.
1988
Isen, A. M., Nygren T. E., & F Ashby G. (1988).  Influence of positive affect on the subjective utility of gains and losses: It's just not worth the risk.. Journal of Personality and Social Psychology. 55, 710-717.