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Robert M. Nosofsky
Distinguished Professor
812-855-2534 (office) |
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My research is organized around the development and testing of formal mathematical models of perceptual category learning and representation. A main theme of the research involves studying relations between categorization and other fundamental cognitive processes, including old-new recognition memory, the development of automaticity, and decision making. Current research projects include: 1) modeling the time course of categorization and recognition judgments, 2) examining the basis for neural and behavioral dissociations between categorization and memory performance, 3) distinguishing among exemplar-based and logical-rule-based accounts of category representation, and 4) studying the properties of visual working memory.
Nosofsky, R.M., Little, D.R., & James, T.W. (2012). Activation in the neural network responsible for categorization and recognition reflects parameter changes. Proceedings of the National Academy of Sciences, 109, 333-338. [Supporting Information]
Donkin, C., & Nosofsky, R.M. (in press). A power-law model of psychological memory strength in short-term and long-term recognition. Psychological Science.
Nosofsky, R.M., Little, D.R., Donkin, C., & Fific, M. (2011). Short-term memory scanning viewed as exemplar-based categorization. Psychological Review, 118, 280-315.
Fific, M., Little, D. R., & Nosofsky, R. M.(2010). Logical-rule models of classification response times: A synthesis of mental-architecture, random-walk, and decision-bound approaches. Psychological Review, 117, 309-348. [Supplemental files]
Gureckis, T. M., James, T. W., & Nosofsky, R. M.(2011). Re-evaluating dissociations between implicit and explicit category learning: An event-related fMRI study. Journal of Cognitive Neuroscience, 23, 1697-1709.
Little, D. R., Nosofsky, R. M., & Denton, S. E. (2011). Response-time tests of logical-rule models of categorization. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37, 1-27.
Nosofsky, R. M., & Little, D. R.(2010). Classification response times in probabilistic rule-based category structures: Contrasting exemplar-retrieval and decision-bound models. Memory & Cognition, 38, 916-927. [Supplemental files]
Fific, M., Nosofsky, R. M., & Townsend, J. T. (2008). Information-Processing Architectures in Multidimensional Classification: A Validation Test of the Systems Factorial Technology. Journal of Experimental Psychology: Human Perception and Performance, 34, 356-375.
Nosofsky, R. M., & Bergert, F. B. (2007). Limitations of Exemplar Models of Multi-Attribute Probabilisitic Inference. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33, 999-1019.
Bergert, F. B., & Nosofsky, R. M. (2007). A Response-Time Approach to Comparing Generalized Rational and Take-the-Best Models of Decision Making. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33, 107-129.
Zaki, S. R., & Nosofsky, R. M. (2007). A high-distortion enhancement effect in the prototype-learning paradigm: Dramatic effects of category learning during test. Memory & Cognition, 35, 2088-2096.
Stanton, R. D., & Nosofsky, R. M. (2007). Feedback interference and dissociations of classification: Evidence against the multiple-learning-systems hypothesis. Memory & Cognition, 35, 1747-1758.
Nosofsky, R. M., & Stanton, R. D. (2006). Speeded Old–New Recognition of Multidimensional Perceptual Stimuli: Modeling Performance at the Individual-Participant and Individual-Item Levels. Journal of Experimental Psychology: Human Perception and Performance, 32, 314-334
Knapp, B. R., Nosofsky, R. M., & Busey, T. A. (2006). Recognizing distinctive faces: A hybrid-similarity exemplar model account. Memory & Cognition, 34, 877-889.
Nosofsky, R. M., & Kantner, J. (2006). Exemplar similarity, study-list homogeneity, and short-term perceptual recognition. Memory & Cognition, 34, 112-124.
Nosofsky, R. M., Stanton, R. D., & Zaki, S. R. (2005). Procedural interference in perceptual classification: Implicit learning or cognitive complexity? Memory & Cognition, 33, 1256-1271.
Nosofsky, R. M., & Stanton, R. D. (2005). Speeded classification in a probabilistic category structure: Contrasting exemplar-retrieval, decision-boundary, and prototype models. Journal of Experimental Psychology: Human Perception and Performance, 31(3), 608-629.
Zaki, S. R., & Nosofsky, R. M. (2004). False prototype enhancement effects in dot pattern categorization. Memory & Cognition, 32(3), 390-398.
Zaki, S. R., Nosofsky, R. M., Stanton, R. D., & Cohen, A. L. (2003). Prototype and exemplar accounts of category learning and attentional allocation: A reassessment. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29(6), 1160-1173.
Zaki, S. R., Nosofsky, R. M., Jessup, N. M., & Unversagt, F. W. (2003). Categorization and recognition performance of a memory-impaired group: Evidence for single-system models. Journal of the International Neuropsychological Society, 9(3), 394-406.
Nosofsky, R. M., & Zaki, S. R. (2003). A hybrid-similarity exemplar model for predicting distinctiveness effects in perceptual old-new recognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29(6), 1194-1209.
Cohen, A. L., & Nosofsky, R. M. (2003). An extension of the exemplar-based random-walk model to separable-dimension stimuli. Journal of Mathematical Psychology, 47(2), 150-165.
Treat, T. A., McFall, R. M., Viken, R. J., Nosofsky, R. M., MacKay, D. B., & Kruschke, J. K. (2002). Assessing clinically relevant perceptual organization with multidimensional scaling techniques. Psychological Assessment, 14(3), 239-252.
Nosofsky, R. M., & Zaki, S. R. (2002). Exemplar and prototype models revisited: Response strategies, selective attention, and stimulus generalization. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28(5), 924-940.
Viken, R. J., Treat, T. A., Nosofsky, R. M., McFall, R. M., & Palmeri, T. J. (2002). Modeling individual differences in perceptual and attentional processes related to bulimic symptoms. Journal of Abnormal Psychology, 111(4), 598-609.
Stanton, R. D., Nosofsky, R. M., & Zaki, S. R. (2002). Comparisons between exemplar similarity and mixed prototype models using a linearly separable category structure. Memory & Cognition, 30(6), 934-944.
Palmeri, T. J., & Nosofsky, R. M. (2001). Central tendencies, extreme points, and prototype enhancement effects in ill-defined perceptual categorization. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 54A(1), 197-235.
Zaki, S. R., & Nosofsky, R. M. (2001). Exemplar accounts of blending and distinctiveness effects in perceptual old-new recognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(4), 1022-1041.
Zaki, S. R., & Nosofsky, R. M. (2001).A single-system interpretation of dissociations between recognition and categorization in a task involving object-like stimuli. Cognitive, Affective & Behavioral Neuroscience, 1(4), 344-359.
Cohen, A. L., Nosofsky, R. M., & Zaki, S. R. (2001). Category variability, exemplar similarity, and perceptual classification. Memory & Cognition, 29(8), 1165-1175.
Nosofsky, R. M., & Johansen, M. K. (2000). Exemplar-based accounts of multiple-system phenomena in perceptual categorization. Psychonomic Bulletin & Review, 7(3), 375-402.
Nosofsky, R. M. (2000).Exemplar representation without generalization? Comment on Smith and Minda's (2000) Thirty categorization results in search of a model. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26(6), 1735-1743.
Cohen, A. L., & Nosofsky, R. M. (2000). An exemplar-retrieval model of speeded same-different judgments. Journal of Experimental Psychology: Human Perception & Performance, 26(5), 1549-1569.
Nosofsky, R. M., & Alfonso-Reese, L. A. (1999).Effects of similarity and practice on speeded classification response times and accuracies: Further tests of an exemplar-retrieval model. Memory & Cognition, 27(1), 78-93.
Nosofsky, R. M., & Palmeri, T. J. (1998). A rule-plus-exception model for classifying objects in continuous-dimension spaces. Psychonomic Bulletin & Review, 5(3), 345-369.
Nosofsky, R. M., & Zaki, S. R. (1998). Dissociations between categorization and recognition in amnesic and normal individuals: An exemplar-based interpretation. Psychological Science, 9(4), 247-255.
Nosofsky, R. M. (1998). Selective attention and the formation of linear decision boundaries: Reply to maddox and ashby (1998). Journal of Experimental Psychology: Human Perception & Performance, 24(1), 322-339.
Nosofsky, R. M., & Palmeri, T. J. (1997). An exemplar-based random walk model of speeded classification. Psychological Review, 104(2), 266-300.
Nosofsky, R. M., & Palmeri, T. J. (1997). Comparing exemplar-retrieval and decision-bound models of speeded perceptual classification. Perception & Psychophysics, 59(7), 1027-1048.
Nosofsky, R. M. (1997). An exemplar-based random-walk model of speeded categorization and absolute judgment. In A. A. J. Marley (Ed.), Choice, decision, and measurement: Essays in honor of R. Duncan Luce (pp. 347-365). Mahwah, NJ, US: Lawrence Erlbaum Associates, Publishers.
McKinley, S. C., & Nosofsky, R. M. (1996). Selective attention and the formation of linear decision boundaries. Journal of Experimental Psychology: Human Perception & Performance, 22(2), 294-317.
Nosofsky, R. M., & Palmeri, T. J. (1996). Learning to classify integral-dimension stimuli. Psychonomic Bulletin & Review, 3(2), 222-226.
Palmeri, T. J., & Nosofsky, R. M. (1995). Recognition memory for exceptions to the category rule. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21(3), 548-568.
McKinley, S. C., & Nosofsky, R. M. (1995). Investigations of exemplar and decision bound models in large, ill-defined category structures. Journal of Experimental Psychology: Human Perception & Performance, 21(1), 128-148.
Shiffrin, R. M., & Nosofsky, R. M. (1994). Seven plus or minus two: A commentary on capacity limitations. Psychological Review, 101(2), 357-361.
Nosofsky, R. M., Palmeri, T. J., & McKinley, S. C. (1994). Rule-plus-exception model of classification learning. Psychological Review, 101(1), 53-79.
Nosofsky, R. M., Gluck, M. A., Palmeri, T. J., & McKinley, S. C. (1994). Comparing models of rule-based classification learning: A replication and extension of Shepard, Hovland, and Jenkins (1961). Memory & Cognition, 22(3), 352-369.
Nosofsky, R. M., Kruschke, J. K., & McKinley, S. C. (1992). Combining exemplar-based category representations and connectionist learning rules. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18(2), 211-233.
Nosofsky, R. M., & Smith, J. K. (1992). Similarity, identification, and categorization: Comment on Ashby and Lee (1991). Journal of Experimental Psychology: General, 121(2), 237-245.
Nosofsky, R. M. (1992). Exemplars, prototypes, and similarity rules. In A. F. Healy, & S. M. Kosslyn (Eds.), Essays in honor of William K. Estes, vol. 1: From learning theory to connectionist theory; vol. 2: From learning processes to cognitive processes (pp. 149-167). Hillsdale, NJ, England: Lawrence Erlbaum Associates, Inc.
Nosofsky, R. M. (1992). Exemplar-based approach to relating categorization, identification, and recognition. In F. G. Ashby (Ed.), Multidimensional models of perception and cognition. Scientific psychology series (pp. 363-393). Hillsdale, NJ, England: Lawrence Erlbaum Associates, Inc.
Nosofsky, R. M. (1992). Similarity scaling and cognitive process models. Annual Review of Psychology, 43, 25-53.
Shin, H. J., & Nosofsky, R. M. (1992). Similarity-scaling studies of dot-pattern classification and recognition. Journal of Experimental Psychology: General, 121(3), 278-304.
Nosofsky, R. M. (1991). Relation between the rational model and the context model of categorization. Psychological Science, 2(6), 416-421.
Nosofsky, R. M. (1991). Typicality in logically defined categories: Exemplar-similarity versus rule instantiation. Memory & Cognition, 19(2), 131-150.
Nosofsky, R. M. (1991). Tests of an exemplar model for relating perceptual classification and recognition memory. Journal of Experimental Psychology: Human Perception & Performance, 17(1), 3-27.
Nosofsky, R. M. (1991). Stimulus bias, asymmetric similarity, and classification. Cognitive Psychology, 23(1), 94-140.
Nosofsky, R. M. (1990). Relations between exemplar-similarity and likelihood models of classification. Journal of Mathematical Psychology, 34(4), 393-418.
Nosofsky, R. M., Clark, S. E., & Shin, H. J. (1989). Rules and exemplars in categorization, identification, and recognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15(2), 282-304.
Nosofsky, R. M. (1989). Further tests of an exemplar-similarity approach to relating identification and categorization. Perception & Psychophysics, 45(4), 279-290.
Nosofsky, R. M. (1988). Similarity, frequency, and category representations. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14(1), 54-65.
Nosofsky, R. M. (1988). Exemplar-based accounts of relations between classification, recognition, and typicality. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14(4), 700-708.
Nosofsky, R. M. (1988). On exemplar-based exemplar representations: Reply to Ennis (1988). Journal of Experimental Psychology: General, 117(4), 412-414.
Nosofsky, R. M. (1987). Attention and learning processes in the identification and categorization of integral stimuli. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13(1), 87-108.
Nosofsky, R. M. (1986). Attention, similarity, and the identification-categorization relationship. Journal of Experimental Psychology: General, 115(1), 39-57.
Nosofsky, R. (1985). Overall similarity and the identification of separable-dimension stimuli: A choice model analysis. Perception & Psychophysics, 38(5), 415-432.
Nosofsky, R. M. (1985). Luce's choice model and Thurstone's categorical judgment model compared: Kornbrot's data revisited. Perception & Psychophysics, 37(1), 89-91.
Nosofsky, R. M. (1984). Choice, similarity, and the context theory of classification. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10(1), 104-114.
Nosofsky, R. M. (1983). Shifts of attention in the identification and discrimination of intensity. Perception & Psychophysics, 33(2), 103-112.
Nosofsky, R. M. (1983). Information integration and the identification of stimulus noise and criterial noise in absolute judgment. Journal of Experimental Psychology: Human Perception & Performance, 9(2), 299-309.
Luce, R. D., Nosofsky, R. M., Green, D. M., & Smith, A. F. (1982). The bow and sequential effects in absolute identification. Perception & Psychophysics, 32(5), 397-408.
