2008
Ashby, F.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. pdf
Ashby, F.G., Waldschmidt, J.G. (2008). Fitting computational models to fMRI data. Behavior Research Methods, 40, 713-721. pdf
Hélie, S. (2008). Energy Minimization in the Nonlinear Dynamic Recurrent Associative Memory. Neural Networks, 21, 1041-1044. pdf
Spiering, B. J., & Ashby, F. G. (2008). Response processes in information-integration category learning. Neurobiology of Learning and Memory, 90, 330-338. pdf
Spiering, B. J., & Ashby, F. G. (2008). Initial training with difficult items facilitates information-integration but not rule-based category learning. Psychological Science, in press. pdf
2007
Ashby, F. G., & Ennis, D. M. (2007). Similarity measures. Scholarpedia, 2(12), 4116.
Ashby, F. G., Ennis, J. M., & Spiering, B. J. (2007). A neurobiological theory of automaticity in perceptual categorization. Psychological Review, 114, 632-656. pdf
Ashby, F.G., & O'Brien, J.B. (2007). The effects of positive versus negative feedback on information-integration category learning. Perception & Psychophysics, 69, 865-878. pdf
Ashby, F.G., & Valentin, V.V. (2007). Computational cognitive neuroscience: Building and testing biologically plausibel computational models of neuroscience, neuroimaging, and behavioral data. In M. J. Wenger & C. Schuster (Eds.), Statistical and process models for cognitive neuroscience and aging (pp. 15-58). Mahwah, NJ: Erlbaum. pdf
Hélie, S. (2007). Understanding statistical power using noncentral probability distributions: Chi-squared, G-squared, and ANOVA. Tutorials in Quantitative Methods for Psychology, 3, 63-69. pdf
2006
Ashby, F.G., & Ennis, J. M. (2006). The role of the basal ganglia in category learning. The Psychology of Learning and Motivation, 46, 1-36. pdf
Ell, S.W., & Ashby, F.G. (2006). The effects of category overlap on information-integration and rule-based category learning. Perception & Psychophysics, 68, 1013-1026. pdf
Hélie, S. (2006). An introduction to model selection: Tools and algorithms. Tutorials in Quantitative Methods for Psychology, 2, 1-10. pdf
Hélie, S., Chartier, S., & Proulx, R. (2006). Are unsupervised neural networks ignorant? Sizing the effect of environmental distributions on unsupervised learning. Cognitive Systems Research, 7, 357-371. pdf
Hélie, S., Giguère, G., Cousineau, D., & Proulx, R. (2006). Using knowledge partitioning to investigate the psychological plausibility of mixtures of experts. Artificial Intelligence Review, 25, 119-138. pdf
2005
Ashby, F. G., & Casale, M. B. (2005). Empirical dissociations between rule-based and similarity-based categorization: Comment on Pothos. Behavioral and Brain Sciences, 28, 15-16. pdf
Ashby, F. G., Ell, S. W., Valentin, V., & Casale, M.B. (2005) FROST: A distributed neurocomputational model of working memory maintenance. Journal of Cognitive Neuroscience, 17, 1728-1743. pdf
Ashby, F. G., & Maddox, W. T. (2005). Human category learning. Annual Review of Psychology, 56, 149-178. pdf
Ashby, F.G., & O'Brien, J.B. (2005). Category learning and multiple memory systems. TRENDS in Cognitive Science, 2, 83-89. pdf
Ashby, F.G., & Valentin, V.V. (2005). Multiple systems of perceptual category learning: Theory and cognitive tests. In H. Cohen and C. Lefebvre (Eds.), Categorization in cognitive science. New York: Elsevier. pdf
Proulx, R. & Hélie, S. (2005). Adaptive categorization and neural networks. In C. Lefebvre & H. Cohen (Eds.) Handbook of Categorization in Cognitive Science (pp. 793-815). Oxford: Elsevier. pdf
2004
Ashby, F.G., & Spiering, B.J. (2004). The neurobiology of category learning. Behavior and Cognitive Neuroscience Reviews, 3, 101-113. pdf
Ell, S.W., & Ashby, F.G. (2004). Dynamical trajectories in category learning. Perception and Psychophysics, 66, 1318-1340. pdf
Giguère, G., Hélie. S., & Cousineau, D. (2004). Manifeste pour le retour des sciences en psychologie. Revue Québécoise de Psychologie, 25, 117-130. pdf
Maddox, W. T., & Ashby, F. G. (2004). Dissociating explicit and procedural-learning based systems of perceptual category learning. Behavioural Processes, 66, 309-332. pdf
Maddox, W. T., Ashby, F. G., Ing, A. D., & Pickering, A. D. (2004). Disrupting feedback processing interferes with rule-based but not information-integration category learning. Memory & Cognition, 32, 582-591. pdf
2003
Ashby, F. G., & Casale, M. B. (2003). A model of dopamine modulated cortical activation. Neural Networks, 16, 973-984. pdf
Ashby, F. G., Ell, S. W., & Waldron, E. M. (2003). Procedural learning in perceptual categorization. Memory & Cognition, 31, 1114-1125. pdf
Ashby, F. G., Noble, S., Filoteo, J. V., Waldron, E. M., & Ell, S. W. (2003). Category learning deficits in Parkinson's disease. Neuropsychology, 17, 115-124. pdf
Cousineau, D., Hélie, S., & Lefebvre, C. (2003).Testing Curvatures of learning functions on individual trial and block average data. Behavior Research Methods, Instruments, and Computers, 35, 493-503. pdf
Cousineau, D., Lacroix, G. L., & Hélie, S. (2003). Redefining the rules: Providing race models with a connectionist learning rule. Connection Science, 15, 27-43. pdf
Maddox, W.T., Ashby, F.G., & Bohil, C. J. (2003). Delayed feedback effects on rule-based and information-integration category learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29, 650-662. pdf
2002
Alfonso-Reese, L. A., Ashby, F. G., & Brainard, D. H. (2002). What makes a categorization task difficult? Perception & Psychophysics, 64, 570-583. pdf
Ashby, F. G., & Casale, M. B. (2002). The cognitive neuroscience of implicit category learning. In L. Jiménez (Ed.), Attention and implicit learning. (pp. 109-141) Amsterdam & Philadelphia: John Benjamins Publishing Company. pdf
Ashby, F. G., & Ell, S. W. (2002). Single versus multiple systems of category learning: Reply to Nosofsky and Kruschke (2001). Psychonomic Bulletin & Review, 9, 175-180. pdf
Ashby, F. G., & Ell, S. W. (2002). Single versus multiple systems of learning and memory. In J. Wixted & H. Pashler (Eds.), Stevens’ handbook of experimental psychology: Volume 4 Methodology in experimental psychology (3rd ed., pp. 655-692). New York: Wiley. pdf of part 1; pdf of part 2
Ashby, F. G., & Ennis, D. M. (2002). A Thurstone-Coombs model of concurrent ratings with sensory and liking dimensions. Journal of Sensory Studies, 17, 43-59. pdf
Ashby, F. G., Maddox, W. T., & Bohil, C. J. (2002). Observational versus feedback training in rule-based and information-integration category learning. Memory & Cognition, 30, 666-677. pdf
Ashby, F. G., Valentin, V. V., & Turken, A. U. (2002). The effects of positive affect and arousal on working memory and executive attention: Neurobiology and computational models. In S. Moore & M. Oaksford (Eds.), Emotional cognition: From brain to behaviour (pp. 245-287). Amsterdam: John Benjamins.pdf
Maddox, W. T., Ashby, F. G., & Waldron, E. M. (2002). Multiple attention systems in perceptual categorization. Memory & Cognition, 30, 325-339. pdf
2001
Ashby, F. G. (2001). Categorization and similarity models: Neuroscience applications. In International Encyclopedia of the Social and Behavioral Sciences (pp. 1535-1538). Amsterdam: Pergamon Press. pdf
Ashby, F. G., & Ell, S. W. (2001). The neurobiology of category learning. Trends in Cognitive Sciences, 5, 204-210. pdf
Ashby, F. G., Waldron, E. M., Lee, W. W., & Berkman, A. (2001). Suboptimality in human categorization and identification. Journal of Experimental Psychology: General, 130, 77-96. pdf
Waldron, E. M., & Ashby, F. G. (2001). The effects of concurrent task interference on category learning: Evidence for multiple category learning systems. Psychonomic Bulletin & Review, 8, 168-176. pdf
2000
Ashby, F. G. (2000). A stochastic version of general recognition theory. Journal of Mathematical Psychology, 44, 310-329. pdf
Ashby, F. G., & Waldron, E. M. (2000). The neuropsychological bases of category learning. Current Directions in Psychological Science, 9, 10-14. pdf
1999
Ashby, F. G. (1999). Multidimensional psychology. In McGraw-Hill Yearbook of Science & Technology 2000 (pp. 264-265). New York: McGraw-Hill. pdf
Ashby, F. G., Isen, A. M., & Turken, A. U. (1999). A neuropsychological theory of positive affect and its influence on cognition. Psychological Review, 106, 529-550. pdf
Ashby, F. G., Queller, S., & Berretty, P. M. (1999). On the dominance of unidimensional rules in unsupervised categorization. Perception & Psychophysics, 61, 1178-1199. pdf
Ashby, F. G., & Waldron, E. M. (1999). On the nature of implicit categorization. Psychonomic Bulletin & Review, 6, 363-378. pdf
1998
Ashby, F. G., Alfonso-Reese, L. A., Turken, A. U., & Waldron, E. M. (1998). A neuropsychological theory of multiple systems in category learning. Psychological Review, 105, 442-481. pdf
Ashby, F. G., & Maddox, W. T. (1998). Stimulus categorization. In M. H. Birnbaum (Ed.), Measurement, judgment, and decision making: Handbook of perception and cognition (pp. 251-301). San Diego: Academic Press. pdf
Maddox, W. T., & Ashby, F. 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. pdf
Maddox, W. T., Ashby, F. G., & Gottlob, L. R. (1998). Response time distributions in multidimensional perceptual categorization. Perception & Psychophysics, 60, 620-637. pdf
1997
Ashby, F. G., & Berretty, P. M. (1997). Categorization as a special case of decision-making or choice. In A. A. J. Marley (Ed.), Choice, decision, and measurement: Essays in honor of R. Duncan Luce (pp. 367-388). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.. pdf
Isen, A. M., Ashby, F. G., & Waldron, E. (1997). The sweet smell of success. The Aroma-Chology Review, VI, pp. 1, 4-5. pdf
1996
Ashby, F. G., Prinzmetal, W., Ivry, R., & Maddox, W. T. (1996). A formal theory of feature binding in object perception. Psychological Review, 103, 165-192. pdf
Maddox, W. T., & Ashby, F. G. (1996). Perceptual separability, decisional separability, and the identification- speeded classification relationship. Journal of Experimental Psychology: Human Perception & Performance, 22, 795-817. pdf
1995
Ashby, F. G. (1995). Resurrecting information theory: A review of "Information, Sensation, and Perception", by Kenneth H. Norwich. The American Journal of Psychology, 108, 609-614. pdf
Ashby, F. G., & Alfonso-Reese, L. (1995). Categorization as probability density estimation. Journal of Mathematical Psychology, 39, 216-233. pdf
1994
Ashby, F. G., Boynton, G., & Lee, W. W. (1994). Categorization response time with multidimensional stimuli. Perception & Psychophysics, 55, 11-27. pdf
Ashby, F. G., & Maddox, W. T. (1994). A response time theory of separability and integrality in speeded classification. Journal of Mathematical Psychology, 38, 423-466. pdf
Ashby, F. G., Maddox, W. T., & Lee, W. W. (1994). On the dangers of averaging across subjects when using multidimensional scaling or the similarity-choice model. Psychological Science, 5, 144-151. pdf
Maddox, W. T., Prinzmetal, W., Ivry, R., & Ashby, F. G. (1994). A probabilistic multidimensional model of location information. Psychological Research, 56, 66-77. pdf
1993
Ashby, F. G., & Lee, W. W. (1993). Perceptual variability as a fundamental axiom of perceptual science. In S.C. Masin (Ed.), Foundations of perceptual theory (pp. 369-399). Amsterdam: Elsevier Science Publishers B.V.. pdf
Ashby, F. G., & Maddox, W. T. (1993). Relations between prototype, exemplar, and decision bound models of categorization. Journal of Mathematical Psychology, 37, 372-400. pdf
Ashby, F. G., Tein, J. Y., & Balakrishnan, J. D. (1993). Response time distributions in memory scanning. Journal of Mathematical Psychology, 37, 526-555. pdf
Ennis, D. M., & Ashby, F. G. (1993). The relative sensitivities of same-different and identification judgment models to perceptual dependence. Psychometrika, 58, 257-279. pdf
Maddox, W. T., & Ashby, F. G. (1993). Comparing decision bound and exemplar models of categorization. Perception & Psychophysics, 53, 49-70. pdf
1992
Ashby, F. G. (1992). Multivariate probability distributions. In F. G. Ashby (Ed.), Multidimensional models of perception and cognition (pp. 1-34). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.. pdf
Ashby, F. G. (1992). Multidimensional models of categorization. In F. G. Ashby (Ed.), Multidimensional models of perception and cognition (pp. 449-483). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.. pdf
Ashby, F. 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. pdf
Ashby, F. G., & Lee, W. W. (1992). On the relationship among identification, similarity, and categorization: Reply to Nosofsky and Smith (1992). Journal of Experimental Psychology: General, 121, 385-393. pdf
Ashby, F. G., Lee, W. W., & Balakrishnan, J. D. (1992). Comparing the biased choice model and multidimensional decision bound models of identification. Mathematical Social Sciences, 23, 175-197. pdf
Ashby, F. G., & Maddox, W. T. (1992). Complex decision rules in categorization: Contrasting novice and experienced performance. Journal of Experimental Psychology: Human Perception and Performance, 18, 50-71. pdf
Balakrishnan, J. D., & Ashby, F. G. (1992). Subitizing: Magical numbers or mere superstition? Psychological Research, 54, 80-90. pdf
1991
Ashby, F. G. (1991). Review of "Foundations of Measurement, Volume III", by R. Duncan Luce, David H. Krantz, Patrick Suppes, and Amos Tversky. Applied Psychological Measurement, 15, 105-108. pdf
Ashby, F. G., & Lee, W. W. (1991). Predicting similarity and categorization from identification. Journal of Experimental Psychology: General, 120, 150-172. pdf
Ashby, F. G., & Maddox, W. T. (1991). A response time theory of perceptual independence. In J. P. Doignon & J. C. Falmagne (Eds.), Mathematical psychology: Current developments (pp. 389-413). New York: Springer Verlag. pdf
Balakrishnan, J. D., & Ashby, F. G. (1991). Is subitizing a unique numerical ability? Perception & Psychophysics, 50, 555-564. pdf
Perrin, N. A., & Ashby, F. G. (1991). A test of perceptual independence with dissimilarity data. Applied Psychological Measurement, 15, 79-93. pdf
1990
Ashby, F. G., & Maddox, W. T. (1990). Integrating information from separable psychological dimensions. Journal of Experimental Psychology: Human Perception and Performance, 16, 598-612. pdf
1989
Ashby, F. G. (1989). Stochastic general recognition theory. In D. Vickers & P. L. Smith (Eds.), Human information processing: Measures, mechanisms and models (pp. 435-457). Amsterdam: Elsevier SciencePublishers B.V.. pdf
Ashby, F. G. (1989). Review of "Response Times", by R. Duncan Luce. Psychometrika, 54, 542-545. pdf
1988
Ashby, F. G. (1988). Estimating the parameters of multidimensional signal detection theory from simultaneous ratings on separate stimulus components. Perception & Psychophysics, 44, 195-204. pdf
Ashby, F. G., & Gott, R. E. (1988). Decision rules in the perception and categorization of multidimensional stimuli. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14, 33-53. pdf
Ashby, F. G., & Perrin, N. A. (1988). Toward a unified theory of similarity and recognition. Psychological Review, 95, 124-150. pdf
Isen, A. M., Nygren, T. E., & Ashby, F. G. (1988). The 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. pdf
1987
Ashby, F. G. (1987). Counting and timing models in psychophysics and the conjoint Weber's law. Journal of Mathematical Psychology, 31, 419-428. pdf
1986
Ashby, F. G., & Townsend, J. T. (1986). Varieties of perceptual independence. Psychological Review, 93, 154-179. pdf
MacCallum, R., & Ashby, F. G. (1986). Relationships between linear systems theory and covariance structure modeling. Journal of Mathematical Psychology, 30, 1-27. pdf
1984
Townsend, J. T., & Ashby, F. G. (1984). Measurement scales and statistics: The misconception misconceived. Psychological Bulletin, 96, 394-401. pdf
1983
Ashby, F. G. (1983). A biased random walk model of two choice reaction times. Journal of Mathematical Psychology, 27, 277-297. pdf
1982
Ashby, F. G. (1982). Testing the assumptions of exponential additive reaction time models. Memory & Cognition, 10, 125-134. pdf
Ashby, F. G. (1982). Deriving exact predictions from the cascade model. Psychological Review, 89, 599-607. pdf
Townsend, J. T., & Ashby, F. G. (1982). An experimental test of contemporary mathematical models of visual letter recognition. Journal of Experimental Psychology: Human Perception and Performance, 8, 834-864. pdf
1981
Townsend, J. T., Hu, G. G., & Ashby, F. G. (1981). Perceptual sampling of orthogonal straight line features. Psychological Research, 43, 259-275. pdf
1980
Ashby, F. G., & Townsend, J. T. (1980). Decomposing the reaction time distribution: Pure insertion and selective influence revisited. Journal of Mathematical Psychology, 21, 93-123. pdf
Townsend, J. T., Hu, G. G., & Ashby, F. G. (1980). A test of visual feature sampling independence with orthogonal straight lines. Bulletin of the Psychonomic Society, 15, 163-166. pdf
1978
Townsend, J. T., & Ashby, F. G. (1978). Methods of modeling capacity in simple processing systems. In N. J. Castellan, Jr. & F. Restle (Eds.), Cognitive theory, Volume III (pp. 199-239). Hillsdale, NJ: Erlbaum. pdf