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[1]
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Ashby, F. G. (1992b). Multivariate Probability Distributions. In F. Ashby (Ed.), Multidimensional Models of Perception and Cognition. Hillsdale, NJ: Erlbaum.
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[2]
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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.[CrossRef]
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[3]
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Ashby, F. G., & Maddox, W. T. (2005). Human Category Learning. Annual Review of Psychology, 56, 149-178.[CrossRef] [PubMed]
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[4]
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Ashby, F. G., & Soto, F. A. (2015). Multidimensional Signal Detection Theory. In J. Busemeyer, J. Townsend, Z. Wang, & A. Eidels (Eds.), Oxford Handbook of Computational and Mathematical Psychology. New York: Oxford University Press.
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[5]
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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.[CrossRef]
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[6]
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Ashby, F. G., Ell, S. W., & Waldron, E. M. (2003). Procedural Learning in Perceptual Categorization. Mem Cognit, 31, 1114-1125.[CrossRef]
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[7]
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Ashby, F.G., & Lee, W.W. (1991). Predicting Similarity and Categorization from Identification. Journal of Experimental Psychology: General, 120, 150-172.[CrossRef]
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[8]
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Ashby, F.G., & Townsend, J.T. (1986). Varieties of Perceptual Independence. Psychological Review, 93, 154-179.[CrossRef]
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[9]
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Couchman, J. J., Coutinho, M. V. C., & Smith, J. D. (2010). Rules and Resemblance: Their Changing Balance in the Category Learning of Humans (Homo Sapiens) and Monkeys (Macacamulatta). Journal of Experimental Psychology: Animal Behavior Processes, 36, 172-183.[CrossRef] [PubMed]
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[10]
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Donkin, C. et al. (2015). Identifying Strategy Use in Category Learning Tasks: A Case for More Diagnostic Data and Models. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41, 933-948.[CrossRef] [PubMed]
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[11]
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Ell, S. W., & Ashby, F. G. (2006). The Effects of Category Overlap on Information-Integration and Rule-Based Category Learning. Perception and Psychophysics, 68, 1013-1026.[CrossRef]
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[12]
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Erickson, M. A., & Kruschke, J. K. (1998). Rules and Exemplars in Category Learning. Journal of Experimental Psychology: General, 127, 107-140.[CrossRef]
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[13]
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Filoteo, J. V., & Maddox, W. T. (2014). Procedural-Based Category Learning in Patients with Parkinson’s Disease: Impact of Category Number and Category Continuity. Frontiers in Systems Neuroscience, 8, Article 14.[CrossRef] [PubMed]
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[14]
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Griffiths, O., Hayes, B. K., & Newell, B. R. (2012). Feature-Based versus Category-Based Induction with Uncertain Categories. Journal of Experimental Psychology. Learning, Memory & Cognition, 38, 576.[CrossRef] [PubMed]
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Haider, H., & Frensch, P. A. (1996). The Role of Information Reduction in Skill Acquisition. Cognitive Psychology, 30, 304-337.[CrossRef] [PubMed]
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[16]
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Hélie, S. (2006). An Introduction to Model Selection. Tutorials in Quantitative Methods for Psychology, 2, 1-10.
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[17]
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Hélie, S., Turner, B. O., Crossley, M. J., Ell, S. W., & Ashby, F. G. (2016). Trial-by-Trial Identification of Categorization Strategy Using Iterative Decision Boundmodeling. Behavior Re-search Methods, 49, 1146-1162.[CrossRef] [PubMed]
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[18]
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Kalish, M. L., Lewandowsky, S., & Davies, M. (2005). Error Driven Knowledge Restructuring in Categorization. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 846-861.
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Konishi, S. et al. (1999). Common Inhibitory Mechanism in Human Inferior Prefrontal Cortex Revealed by Event-Related Functional MRI. Brain, 122, 981-991.[CrossRef] [PubMed]
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Logan, G. D. (1988). Toward an Instance Theory of Automatization. Psychological Review, 95, 492-527.[CrossRef]
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[21]
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Love, B. C., & Medin, D. L. (1998). SUSTAIN: A Model of Human Category Learning. In C. Rich, & J. Mostow (Eds.), Proceedings of the Fifteenth National Conference on Artificial Intelligence (pp. 671-676). Cambridge, MA: MIT Press.
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[22]
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Maddox, W. T., & Ashby, F. G. (1993). Comparing Decision Bound and Exemplar Models of Categorization. Perception and Psychophysics, 53, 49-70.[CrossRef]
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[23]
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Maddox, W. T., Ashby, F. G., & Waldron, E. M. (2002). Multiple Attention Systems in Perceptual Categorization. Memory and Cognition, 30, 325-339.[CrossRef]
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[24]
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Natal, S. D. C., Mclaren, I. P. L., & Livesey, E. J. (2013). Generalization of Feature- and Rule-Based Learning in the Categorization of Dimensional Stimuli: Evidence for Dual Processes under Cognitive Control. Journal of Experimental Psychology: Animal Behavior Processes, 39, 140-151.
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[25]
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Neapolitan, R. (2004). Learning Bayesian Networks. Upper Saddle River, NJ: Prentice Hall.
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[26]
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Smith, J. D., Beran, M. J., Crossley, M. J., Boomer, J., & Ashby, F. G. (2010). Implicit and Explicit Category Learning by Macaques (Macacamulatta) and Humans (Homo Sapiens). Journal of Experimental Psychology: Animal Behavior Processes, 36, 54-65.
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[27]
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Spiering, B. J., & Ashby, F. G. (2008). Initial Training with Difficult Items Facilitates Information Integration, But Not Rule-Based Category Learning. Psychological Science, 19, 1169-1177.[CrossRef] [PubMed]
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