Todd Maddox
              

 

 

Laboratory for the Cognitive Neuroscience of Categorization and Decision Making

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MaddoxLab Home  Dr. Todd Maddox  Collaborators  Post-Docs  Grad Students   Lab Manager  Publications  Presentations  Courses  Research Positions    Paid Experiments  University of Texas  Institute for Neuroscience      Center for Perceptual Systems   Miscellaneous Links 

Neurobiology of Category Learning and Attention
39 Maddox, W.T., Wolosin, S., Schnyer, D.M.  The Effects of Sleep Deprivation on Information-Integration Categorization Performance. UNDER REVIEW  [ abstract ]
38

Maddox, W.T., Filoteo, J.V., Zeithamova, D.  Computational Models Inform Clinical Science and Assessment:  An Application to Category Learning in Striatal-Damaged Patients.       UNDER REVIEW  [ abstract ]
37 Filoteo, J.V., Maddox, W.T.  (2007)  Category Learning in Parkinson's Disease.  In Maio-Kun Sun (Ed.)  Research Progress in Alzheimer's Disease and Dementia, Vol. 3.  pp. 2-26.  [ .pdf ]
36 Maddox, W. T., Love, B. C., Glass, B. D., Filoteo, J. V.  (in press)  When More is Less:  Feedback Effects in Perceptual Category Learning.    Cognition.  [ .pdf ]
35 Filoteo, V.J., Maddox, W.T., Salmon D.P., Song D.D. (2007)  Implicit Category Learning Performance Predicts Rate of Cognitive Decline in Nondemented Patients with Parkinson's Disease. Neuropsychology . 21(2), 183-192. [ .pdf ]
34 Maddox, W.T., O'Brien, J.B., Ashby, F.G., Filoteo, J.V.  Dissociating Stages of Information-Integration Category Learning.  UNDER REVIEW  [ .pdf ] 
33 Zeithamova, D., Maddox, W.T.  (2007)  The Role of Visuo-Spatial and Verbal Working Memory in Perceptual Category Learning.  Memory & Cognition.  35(6), 1380-1398.    [ .pdf ]
32 Maddox, W.T., Filoteo, J.V., Lauritzen, J.S.  (2007)  Within-Category Discontinuity Interacts with Verbal  Rule Complexity in Perceptual Category Learning.  Journal of Experimental Psychology:  Learning, Memory, & Cognition.  33(1), 197-218.  [ .pdf ]
31 Nomura, E.M., Maddox, W.T., Filoteo, J.V., Ing, A.D., Gitelman, D.R., Parrish, T.B., Mesulam, M-M., Reber, P.J.  (2007)  Neural correlates of rule-based and information-integration visual  category learning.  Cerebral Cortex .  17, 37-43.    [ .pdf ] 
30 Maddox, W.T., Lauritzen, J.S., Ing, A.D.  (2007)  Cognitive Complexity Effects in Perceptual Classification are Dissociable.  Memory & Cognition.  35(5), 885-894.  [ .pdf ] 
29 Maddox, W.T., & Filoteo, J.V.  (2007)  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.   pp. 113-146.  [ .pdf]
28 Maddox, W.T., Ing, A.D., Lauritzen, J.S.  (2006)   Stimulus Modality Interacts with Category Structure in Perceptual Category Learning.  Perception & Psychophysics.  68(7), 1176-1190.   [ .pdf ]
27 Maddox, W.T, Ing, A.D., Ell, S.  Working Memory Mediates the Effects of Delayed Feedback on Decision Criterion Learning in Perceptual Categorization.  UNDER REVIEW  [ abstract ]
26 Filoteo, J.V., Maddox, W.T., Ing, A.D., Song, D.D.  (2007)  Characterizing Rule-Based Category Learning Deficits in Patients with Parkinson's Disease.  Neuropsychologia.   45, 305-320.  [ .pdf ]
25 Zeithamova, D., & Maddox, W.T.  (2006)  Dual-Task Interference in Perceptual Category Learning.  Memory & Cognition.  34(2), 387-398.   [ .pdf ]
24 Maddox, W.T., Filoteo, J.V., Lauritzen, J.S., Connally, E., Hejl, K.D.  (2005)  Disontinuous Categories Affect Information-Integration, but not Rule-Based Category Learning.  Journal of Experimental Psychology:  Learning, Memory, and Cognition.  31(4),  654-669.  [ .pdf ]
23 Maddox, W.T., & Filoteo, J.V.  (2005)  The Neuropsychology of Perceptual Category Learning.  In H. Cohen & C. Lefebvre  (Ed.)  Handbook of Categorization in Cognitive Science.  (pp. 573-599).  Elsevier, Ltd.   [ .pdf ]
22 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 Neuropsychological Society.  11, 503-513.   [ .pdf]
21 Ashby, F.G., Maddox, W.T.  (2005)  Human Category Learning.  Annual Review of Psychology .  56:149-78.  [ .pdf]   
20 Filoteo, J.V., Maddox, W.T., Salmon, D.P., Song, D.D.  (2005)  Information-integration category learning in patients with striatal dysfunction.  Neuropsychology.  19(2), 212-222.  [ .pdf]
19 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.  [ .pdf]
18 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.  [ .pdf]
17 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.  [ .pdf]
16 Maddox, W.T., Ashby, F.G.  (2004)  Dissociating Explicit and Procedural-Learning Based Systems of Perceptual Category Learning.  Behavioral Processes.  66, 309-332.  [.pdf]
15 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.  [.pdf]
14

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.  [.pdf]
13 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.    [.pdf]
12 Maddox, W.T., Bohil, C.J., & Ing, A.D.  (2004)   Evidence For a Procedural Learning-Based System in Category Learning.  Psychonomic Bulletin & Review.  11(5), 945-952.  [ .pdf]
11

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]
10

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, 666-667. [.pdf]
9

Maddox, W.T., Ashby, F.G., Waldron, E. (2002). Multiple attention systems in perceptual categorization. Memory & Cognition, 30, 325-339. [.pdf]
8

Maddox, W.T., Molis, M.R, & Diehl, R.L. (2002). Generalizing a Neuropsychological Model of Visual Categorization to Auditory Categorization of Vowels. Perception & Psychophysics, 64, 584-597. [.pdf ]
7

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. [.pdf]
6

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. [.pdf]
5

Filoteo, J.V., Maddox, W.T., & Davis, J.D. (2001) 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. [.pdf]
4

Filoteo, J.V., Maddox, W.T., & Davis, J.D. (2001). Quantitative modeling of category learning in amnesic patients. Journal of the International Neuropsychological Society, 7, 1-19. [.pdf]
3

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. [.pdf]
2

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.  [.pdf]
1 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.  [.pdf]
Human Decision Making
23 Worthy, D.A., Maddox, W.T., & Markman, A.B. (in press). Ratio and Difference Comparisons of Expected Reward in Decision Making Tasks. Memory and Cognition.  [.pdf]
22 Bohil, C.J., Markman, A.B., Maddox, W.T.   A Feature-Salience Analogue of the Inverse Base-rate Effect.  Korean Journal of Thinking & Problem Solving.  15(1), 17-28. [.pdf]
21 Maddox, W.T., Bohil, C.J.  (2005)  Optimal classifier feedback improves cost-benefit but not base-rate decision criterion learning in perceptual categorization.   Memory & Cognition.  33(2), 303-319.  [ .pdf]
20 Maddox, W.T., Bohil, C.J.  (2004)  Probability matching, accuracy maximization, and a test of the optimal classifier's independence assumption in perceptual categorization.  Perception & Psychophysics.  66(1), 104-118.  [ .pdf]
19 Maddox, W.T., Bohil, C.J., & 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  [.pdf]
18 Maddox, W.T., & 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   [.pdf]
17

Bohil, C.J. & Maddox, W.T. (2003) On the generality of objective vs. optimal classifier feedback effects on decision criterion learning in perceptual categorization. Memory & Cognition.  31(2), 181-98  [.pdf]

16

Markman, A.B. & Maddox, W.T. (2003) Classification of exemplars with single and multiple feature manifestations: The case of relevant dimension variation. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29, 107-17  [.pdf]

15

Bohil, C.J. & Maddox, W.T.  (2003)  A Test of the Optimal Classifier's Independence Assumption in Perceptual Categorization.  Perception and Psychophysics.  65(3), 478-93   [.pdf]
14 Maddox, W.T. (2002) Toward a unified theory of decision criterion learning in perceptual categorization. Journal of the Experimental Analysis of Behavior, 78, 567-595. [.pdf]
13

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. [.pdf]
12

Maddox, W.T., & Bohil, C.J. (2001). Feedback effects on cost-benefit learning in perceptual categorization. Memory & Cognition, 29, 598-615. [.pdf]
11

Bohil, C.J., & Maddox, W.T. (2001). Category discriminability, base-rate, and payoff effects on perceptual categorization. Perception & Psychophysics, 63, 361-376. [.pdf]
10

Maddox, W.T., & Bohil, C.J. (2000). Costs and benefits in perceptual categorization. Memory & Cognition, 28, 597-615. [.pdf]
9

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. [.pdf]
8

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.  [.pdf]
7 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. [.pdf]
6

Maddox, W.T., & Bohil, C.J. (1998). Overestimation of base-rate differences in complex perceptual categories. Perception & Psychophysics, 60, 575-592.  [.pdf]
5

Ashby, F.G., & Maddox, W.T. (1998). Stimulus categorization. In M.H. Birnbaum (Ed). Measurement, Judgement, and Decision Making. (pp. 251-301) New York: Academic Press.  [.pdf]
4

Maddox, W.T., (1995). Base-rate effects in multidimensional perceptual categorization. Journal of Experimental Psychology: Learning, Memory and Cognition, 21, 288-301. [.pdf]
3 Maddox, W.T., & Ashby, F.G. (1993). Comparing decision bound and exemplar models of categorization. Perception & Psychophysics. 53, 49-70.  [.pdf]
2 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]
1

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]
Motivational Influences on Human Decision Making
12 Worthy, D.A., Markman, A.B., & Maddox, W.T. (in press). Choking and Excelling at the Free Throw Line. International Journal of Thinking and Problem Solving. [  .pdf  ]
11 Grimm, L.R., Markman, A.B., Maddox, W.T., Baldwin, G.C. (In Press) Stereotype Threat Reinterpreted as a Regulatory Mismatch. JPSP. [  .pdf  ]
10 Glass, B. D., Markman, A. B., Maddox, W. T.  The generalized Exploration Model (GEM):  A Model of Human Foraging for Empirical Analysis.  UNDER REVIEW  [ abstract ] 
9 Grimm, L. R., Markman, A. B., Maddox, W. T., Baldwin, G. C.  (2008)  Differential Effects of Regulatory Fit on Category Learning.   Journal of Experimental Social Psychology.  44, 920-927.  [ .pdf ]
8 Maddox, W. T., Glass, B. D., Markman, A. B.  Regulatory Fit Effects on Stimulus Identification.  UNDER REVIEW  [ .pdf ]
7 Worthy, D.A., Maddox, W.T., & Markman, A.B. (2007). Regulatory Fit Effects in a Choice Task.  Psychonomic Bulleting and Review. 14(6), 1125-1132.  [ .pdf ]
6 Maddox, W.T., Baldwin, G.C, Markman, A.B..  (2006)  A Test of the Regulatory Fit Hypothesis in Perceptual Classification Learning.  Memory & Cognition.  34(7), 1377-1397.   [ .pdf ]
5 Markman, A.B., Maddox, W.T., Worthy, D.A., & Baldwin, G.C.  (2007)  Using Regulatory Focus to Explore Implicit and Explicit Processing.  Journal of Consciousness Studies.  14(9-10), 132-55.   [ .pdf ]
4 Markman, A.B., Maddox, W.T., Worthy, D.A.  (2006)  Choking and excelling under pressure.   Psychological Science. 17(11),  944-948.  [ .pdf ]
3   Maddox, W. T., Markman, A. B., Baldwin, G. C.  (2007)  Using Classification to Understand the Motivation-Learning Interface.   To Appear in B. H. Ross & A. B. Markman, The Psychology of Learning and Motivation.  47, 213-249.  [.pdf ]
2 Markman, A.B., Maddox, W.T., Baldwin, G.C.  (2005)  The Implications of advances in research on motivation for cognitive models.  Journal of Experimental and Theoretical Artificial Intelligence.  17(4), 371-384.  [ .pdf ]
1 Markman, A.B., Baldwin, G.C., Maddox, W.T.  (2005)  The interaction of payoff structure and regulatory focus in classification.  Psychological Science.  16(11), 852-855.  [ .pdf ]
Relating identification and Categorization:  Separating Low-Level Perceptual Processes from High-Level Decisional Processes
11

Maddox, W.T., & 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), 467-80   [.pdf]
10

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.  [.pdf]
9

Maddox, W.T. (2001)  Separating perceptual processes from decisional processes in identification and categorization. Perception & Psychophysics. 63, 1183-1200. [.pdf]
8

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. [.pdf]
7 Maddox, W.T., & Ashby, F.G., & Gottlob, L.R. (1998). Response time distributions in multidimensional percetpual categorization. Perception & Psychophysics. 60, 620-637.  [.pdf]
6

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. [.pdf]
5 Maddox, W.T., Prinzmetal, W., Ivry, R.B., & Ashby, F.G. (1994). A probabilistic multidimensional model of location information. Psychological Research. 56, 66-77. [.pdf]
4

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. [.pdf]
3

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]
2

Maddox, W.T., (1992). Perceptual and decisional separabilty. In F.G. Ashby (Ed.), Multidimensional Models of Perception and Cognition. (pp. 147-180). Erlbaum: Hillsdale, NJ.  [.pdf]
1 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.  (pp. 389-413). Springer-Verlag.  [.pdf]

Miscellaneous Publications:                        Categorization/Recognition/Object Recognition/Modelling Issues

12 Jones, M., Maddox, W.T., & Love, B.C.  The role of similarity in generalization.  UNDER REVIEW   [ abstract ]
11 Jones, M., Maddox, W. T., & Love, B. C.  (2005)  Stimulus generalization in category learning.  Proceedings of the 27th Annual Meeting of the Cognitive Science Society, 1066-1071.  [ .pdf ]
10 Jones, M., Maddox, W. T., & Love, B. C. (in press)  The role of similarity in generalization. Submitted to the 28th Annual Meeting of the Cognitive Science Society.  [ .pdf ]
9 Maddox, W.T.  (In Press)  Decision Boundary.  In Encyclopedia of Measurement and Statistics.  Sage University Press.  [ .pdf ]
8 Jones, M., Love, B.C., & Maddox, W.T.  (2006)  Recency effects as a window to generalization: Separating decisional and perceptual sequential effects in category learning.  Journal of Experimental Psychology:  Learning, Memory, and Cognition .  32(3), 316-332.  [ .pdf ]

7

 Estes, W.K., & Maddox, W.T.  (2005)  Risks of Drawing Inferences About Cognitive Processes from Model Fits to Individual versus Average Performance.  Psychonomic Bulletin & Review.  12(3), 403-408.  [ .pdf]
6 Maddox, W.T. & Estes, W.K.  (2004)  Predicting true patterns of cognitive performance from noisy data.  Psychonomic Bulletin & Review.  11(6), 1129-1135.  [ .pdf]
5 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(6), 1003-1018. [.pdf]
4

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.
3 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.  [.pdf]
2 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. [.pdf]
 1  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]