To view abstracts and access PDF files of some Maddox publications, visit the Maddox Lab Publication's Page

Selected Publications

Maddox, W.T., Ing, A.D., Ell, S. (under review) Working memory mediates the effects of delayed feedback on decision criterion learning in perceptual categorization.

Zeithamova, D., & Maddox, W. T. (in press) Dual task interference in perceptual category learning. Memory & Cognition.

Maddox, W. T. & Filoteo, J.V. (in press) Modeling visual attention and category learning in Amnesiacs, striatal-damaged patients, and normal aging. R. W. J. Neufeld (Ed.) Advances in Clinical-Cognitive Science: Formal Modeling and Assessment of Processes and Symptoms.

Filoteo, J.V., Maddox, W.T., Ing, A.D., Zizak, V., & Song, D. D. (2005) The impact of irrelevant dimensional variation on rule-based category learning in patients with Parkinson's Disease. Journal of the International Neurophyschological Society. 11, 503-513.

Ashby, F.G., Maddox, W.T. (2005) Human category learning. Annual Review of Psychology, 56:149-78.

Filoteo, J.V., Maddox, W.T., Salmon, D.P., Song, D.D. (2005) Information-integration category learning in patients with striatal dysfunction. Neurophyschology. 19(2), 212-222.

Maddox, W. T., Ing, A.D. (2005) Delayed feedback disrupts the procedural-learning system but not the hypothesis testing system in perceptual category learning. Journal of Experimental Psychology: Learning, Memory, and Cognition. 31(1), 100-107.

Maddox, W. T., Aparicio, P., Marchant, N.L., Ivry, R.B. (2005) Rule-based category learning is impaired in patients with Parkinson's disease but not in patients with cerebellar disorders. Journal of Cognitive Neuroscience. 17(5), 707-723.

Filoteo, J.V., Maddox, W.T., Simmons, A.N., Ing, A.D., Cagigas, X.E., Matthews, S., Paulus, M.P. (2005) Cortical and subcortical brain regions involved in rule-based category learning. NeuroReport. 16(2), 111-115.

Maddox, W.T., Ashby, F.G. (2004) Dissociating Explicit and Procedural-Learning Based Systems of Perceptual Category Learning. Behavioral Processes. 66, 309-332.

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(4), 582-591.

Maddox, W.T., Filoteo, J.V, Hejl, K.D., Ing, A.D. (2004) Category Number Impacts Rule-Based but not Information-Integration Category Learning: Further Evidence for Dissociable Category Learning Systems. Journal of Experimental Psychology: Learning, Memory, and Cognition. 30, 227-235.

Filoteo, J.V., & Maddox, W.T. (2004) A quantitative model-based approach to examining aging effects on information-integration category learning. Psychology & Aging. 19(1), 171-182.

Maddox, W.T., and Bohil, C.J. (2004). Probability matching, accuracy maximizing and a test of the optimal classifier's independence assumption in perceptual categorization. Perception & Psychophysics. 66(1), 104-118.

Maddox, W.T., Bohil, C.J., and Dodd, J.L. (2003). Linear transformations of the payoff matrix and decision criterion learning in perceptual categorization. Journal of Experimental Psychology: Learning, Memory, and Cognition. 29, 1174-1193.

Bohil, C.J. and Maddox, W.T. (2003) A Test of the Optimal Classifier's Independence Assumption in Perceptual Categorization. Perception & Psychophysics, 65, 478-493.

Maddox, W.T., and Bohil, C.J. (2003) A Theoretical Framework for Understanding the Effects of Simultaneous Base-rate and Payoff Manipulations on Decision Criterion Learning in Perceptual Categorization. Journal of Experimental Psychology: Learning, Memory and Cognition, 29, 307-320.

Maddox, W.T., and Dodd, J.L. (2003) Separating perceptual and decisional attention processes in the identification and categorization of integral-dimension stimuli. Journal of Experimental Psychology: Learning, Memory and Cognition, 29(3), 467-480.

Markman, A.B. and Maddox, W.T. (2002) Classification of exemplars with single and multiple feature manifestations: The case of relevant dimension variation. Journal of Experimental Psychology: Learning, Memory & Cognition, 29, 107-117.

Maddox, W.T., Ashby, F.G., and Waldron, E. (2002) Multiple attention systems in perceptual categorization. Memory & Cognition, 30, 325-339.

Estes, W.K., & Maddox, W.T. (2002) On the processes underlying stimulus-familiarity effects on recognition of words and nonwords. Journal of Experimental Psychology: Learning Memory & Cognition, 28, 1003-1018.

Ashby, F.G., Maddox, W.T., and Bohil, C.J. (2002) Observational versus feedback training in rule-based and information-integration category learning. Memory & Cognition, 30, 666-677.

Maddox, W.T. (2002) Learning and Attention in Multidimensional Identification, and Categorization: Separating Low-Level Perceptual Processes and High Level Decisional Processes. Journal of Experimental Psychology: Learning, Memory, & Cognition, 28, 99-115.

Maddox, W.T., Molis, M.R, and Diehl, R.L. (2001) Generalizing a Neuropsychological Model of Visual Categorization to Auditory Categorization of Vowels. Perception & Psychophysics, 64, 584-597.

Maddox, W.T., Diehl, R.L., & Molis, M.R. (2001). Generalizing a neuropsychological model of visual categorization to auditory categorization of vowels. Proceedings of the Workshop on Speech Recognition as Pattern Recognition, 85-90.

Maddox, W.T., & Dodd, J. L. (2001) On the relation between base-rate and cost-benefit learning in simulated medical diagnosis. Journal of Experimental Psychology: Learning, Memory, & Cognition, 27, 1367-1384.

Maddox, W.T., & Filoteo, J.V. (2001) Striatal contribution to category learning: Quantitative modeling of simple linear and complex non-linear rule learning in patients with Parkinson's disease. Journal of the international Neuropsychological Society, 7, 710-727.

Filoteo, J.V., Maddox, W.T., & Davis, J.D. (201) A possible role of the striatum in linear and nonlinear categorization rule learning: Evidence from patients with Huntington’s disease. Behavioral Neuroscience, 115, 786-798.

Maddox, W.T. (2001). Separating perceptual processes from decisional processes in identification and categorization. Perception & Psychophysics, 63, 1183-1200.

Maddox, W.T., & Bohil, C.J. (2001). Feedback effects on cost-benefit learning in perceptual categorization. Memory & Cognition, 29, 598-615.

Filoteo, J.V., Maddox, W.T., & Davis, J.D. (2001). Quantitative modeling of category learning in amnesiac patients. Journal of the International Neuropsychological Society, 7, 1-19.

Bohil, C.J., & Maddox, W.T. (2001). Category discriminability, base-rate, and payoff effects on perceptual categorization. Perception & Psychophysics, 63, 361-376.

Maddox, W.T., & Bogdanov, S.V. (2000). On the relation between decision rules and perceptual representation in multidimensional perceptual categorization Perception & Psychophysics, 62, 984-
997.

Maddox, W.T., & Bohil, C.J. (2000). Costs and benefits in perceptual categorization. Memory & Cognition, 28, 597-615.

Filoteo, J.V., & Maddox, W.T. (1999). Quantitative modeling of visual attention processes in patients with Parkinson's disease: Effects of stimulus integrality on selective attention and dimensional integration. Neuropsychology, 13, 206-222.

Maddox, W.T. (1999). On the dangers of averaging across observers when comparing decision bound models and generalized context models of categorization. Perception & Psychophysics, 61, 354-374.

Maddox, W.T., & Bohil, C.J. (1998). Base-rate and payoff effects in multidimensional perceptual categorization. Journal of Experimental Psychology: Learning, Memory and Cognition, 24, 1459-1482.

Maddox, W.T., Filoteo, J.V., & Huntington, J.R. (1998). Effects of stimulus integrality on visual attention in older and younger adults: A quantitative model-based analysis. Psychology and Aging, 13, 472-485.

Maddox, W.T., & Ashby, F.G., (1998). Selective attention and the formation of linear decision bounds. Commentary on McKinley and Nosofsky (1996). Journal of Experimental Psychology: Learning, Memory and Cognition, 24, 301-321.

Maddox, W.T., & Bohil, C.J. (1998). Overestimation of base-rate differences in complex perceptual categories. Perception & Psychophysics, 60, 575-592.

Maddox, W.T., & Ashby, F.G., & Gottlob, L.R. (1998). Response time distributions in multidimensional percetpual categorization, Perception & Psychophysics, 60, 620-637.

Ashby, F.G., & Maddox, W.T. (1998). Stimulus categorization. In M.H. Birnbaum (Ed). Measurement, Judgement, and Decision Making. (pgs. 251-301) New York: Academic Press.

Maddox, W.T., & Estes, W.K. (1997). Direct and indirect stimulus-frequency effects in recognition. Journal of Experimental Psychology: Learning, Memory and Cognition, 23, 539-559.

Maddox, W.T., Filoteo, J.V., Delis, D.C., & Salmon, D.P. (1996). Visual selective attention deficits in patients with Parkinson's disease: A quantitative model-based approach. Neuropsychology, 10, 197-218.

Maddox, W.T., & Ashby, F.G. (1996). Perceptual separability, decisional separability, and the identification-speeded classification relationship. Journal of Experimental Psychology: Human Perception and Performance, 22, 795-817.

Ashby, F.G., Prinzmetal, W., Ivry, R.B., & Maddox, W.T. (1996). A formal theory of feature binding in object perception. Psychological Review, 103, 165-192.

Maddox, W.T., (1995). Base-rate effects in multidimensional perceptual categorization. Journal of Experimental Psychology: Learning, Memory and Cognition, 21, 288-301.

Estes, W.K., & Maddox, W.T., (1995). Interactions of stimulus atributes, base-rate and feedback in recognition. Journal of Experimental Psychology: Learning, Memory and Cognition, 21, 1075-1095.

Maddox, W.T., Prinzmetal, W., Ivry, R.B., & Ashby, F.G. (1994). A probabilistic multidimensional model of location information. Psychological Research, 56, 66-77.

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.

Ashby, F.G., & Maddox, W.T., (1994). A resonse time theory of separability and integrality in speeded classification. Journal of Mathematical Psychology, 38, 423-466.

Maddox, W.T., & Ashby, F.G. (1993). Comparing decision bound and exemplar models of categorization. Perception & Psychophysics, 53, 49-70.

Ashby, F.G., & Maddox, W.T., (1993). Relations between prototype, exemplar, and decision bound models of categorization. Journal of Mathematical Psychology, 37, 372-400.

Maddox, W.T., (1992). Perceptual and decisional separabilty. In F.G. Ashby (Ed.), Multidimensional Models of Perception and Cognition. (pgs. 147-180). Erlbaum: Hillsdale, NJ.

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.

Ashby, F.G., & Maddox, W.T., (1991). A response time theory of perceptual independence. In J.P. Doignon and J.C. Falmagne (Eds.) Mathematical psychology: Current developments. (pgs. 389-413). Springer-Verlag.

Ashby, F.G., & Maddox, W.T., (1990). Integrating information from separable psychological dimensions. Journal of Experimental Psychology: Human Perception and Performance, 16 598-612.