ROBERT NOSOFSKY

Summary

Affiliation: Indiana University
Country: USA

Publications

  1. ncbi request reprint A response-time approach to comparing generalized rational and take-the-best models of decision making
    F Bryan Bergert
    Department of Psychology, Indiana University Bloomington, IN 47405, USA
    J Exp Psychol Learn Mem Cogn 33:107-29. 2007
  2. ncbi request reprint Limitations of exemplar models of multi-attribute probabilistic inference
    Robert M Nosofsky
    Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
    J Exp Psychol Learn Mem Cogn 33:999-1019. 2007
  3. pmc Studies of implicit prototype extraction in patients with mild cognitive impairment and early Alzheimer's disease
    Robert M Nosofsky
    Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
    J Exp Psychol Learn Mem Cogn 38:860-80. 2012
  4. pmc Activation in the neural network responsible for categorization and recognition reflects parameter changes
    Robert M Nosofsky
    Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
    Proc Natl Acad Sci U S A 109:333-8. 2012
  5. ncbi request reprint An exemplar-based random walk model of speeded classification
    R M Nosofsky
    Department of Psychology, Indiana University, Bloomington 47405, USA
    Psychol Rev 104:266-300. 1997
  6. ncbi request reprint Speeded classification in a probabilistic category structure: contrasting exemplar-retrieval, decision-boundary, and prototype models
    Robert M Nosofsky
    Department of Psychology, Indiana University Bloomington, Bloomington, IN 47405, USA
    J Exp Psychol Hum Percept Perform 31:608-29. 2005
  7. ncbi request reprint Procedural interference in perceptual classification: implicit learning or cognitive complexity?
    Robert M Nosofsky
    Department of Psychology, Indiana University, Bloomington, Indiana 47405, USA
    Mem Cognit 33:1256-71. 2005
  8. ncbi request reprint Speeded old-new recognition of multidimensional perceptual stimuli: modeling performance at the individual-participant and individual-item levels
    Robert M Nosofsky
    Department of Psychology, Indiana University Bloomington, IN 47405, USA
    J Exp Psychol Hum Percept Perform 32:314-34. 2006
  9. ncbi request reprint Exemplar similarity, study list homogeneity, and short-term perceptual recognition
    Robert M Nosofsky
    Department of Psychology, Indiana University, Bloomington 47405, USA
    Mem Cognit 34:112-24. 2006
  10. doi request reprint Classification response times in probabilistic rule-based category structures: contrasting exemplar-retrieval and decision-boundary models
    Robert M Nosofsky
    Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
    Mem Cognit 38:916-27. 2010

Research Grants

  1. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2006
  2. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2005
  3. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2004
  4. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2003
  5. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2002
  6. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2001
  7. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2000
  8. PERCEPTUAL CLASSIFICATION, LEARNING AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 1993
  9. PERCEPTUAL CLASSIFICATION, LEARNING AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 1992
  10. PERCEPTUAL CLASSIFICATION, LEARNING AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 1991

Detail Information

Publications26

  1. ncbi request reprint A response-time approach to comparing generalized rational and take-the-best models of decision making
    F Bryan Bergert
    Department of Psychology, Indiana University Bloomington, IN 47405, USA
    J Exp Psychol Learn Mem Cogn 33:107-29. 2007
    ..The RT approach is also validated in an experimental condition in which use of a RAT strategy is essentially forced upon subjects...
  2. ncbi request reprint Limitations of exemplar models of multi-attribute probabilistic inference
    Robert M Nosofsky
    Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
    J Exp Psychol Learn Mem Cogn 33:999-1019. 2007
    ..Instead, it appeared that most observers recoded the interacting attributes into emergent configural cues. They then applied a set of hierarchically organized rules based on the priority of the cues to make their decisions...
  3. pmc Studies of implicit prototype extraction in patients with mild cognitive impairment and early Alzheimer's disease
    Robert M Nosofsky
    Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
    J Exp Psychol Learn Mem Cogn 38:860-80. 2012
    ..We argue that the results weaken the past case made in favor of a separate system of implicit prototype extraction...
  4. pmc Activation in the neural network responsible for categorization and recognition reflects parameter changes
    Robert M Nosofsky
    Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
    Proc Natl Acad Sci U S A 109:333-8. 2012
    ..After controlling for stimulus and parameter-related differences, we found little evidence that categorization and recognition recruit separate memory systems...
  5. ncbi request reprint An exemplar-based random walk model of speeded classification
    R M Nosofsky
    Department of Psychology, Indiana University, Bloomington 47405, USA
    Psychol Rev 104:266-300. 1997
    ..It also builds bridges between the domains of categorization and automaticity...
  6. ncbi request reprint Speeded classification in a probabilistic category structure: contrasting exemplar-retrieval, decision-boundary, and prototype models
    Robert M Nosofsky
    Department of Psychology, Indiana University Bloomington, Bloomington, IN 47405, USA
    J Exp Psychol Hum Percept Perform 31:608-29. 2005
    ..These results are in accord with the predictions of the exemplar model and challenge the predictions of the prototype and decision-boundary models...
  7. ncbi request reprint Procedural interference in perceptual classification: implicit learning or cognitive complexity?
    Robert M Nosofsky
    Department of Psychology, Indiana University, Bloomington, Indiana 47405, USA
    Mem Cognit 33:1256-71. 2005
    ..These results challenge the view that a procedural-learning system mediates performance on information integration categories, but not on rule-based ones...
  8. ncbi request reprint Speeded old-new recognition of multidimensional perceptual stimuli: modeling performance at the individual-participant and individual-item levels
    Robert M Nosofsky
    Department of Psychology, Indiana University Bloomington, IN 47405, USA
    J Exp Psychol Hum Percept Perform 32:314-34. 2006
    ..However, the model failed to predict the very long RTs associated with correct rejections of a prototype foil...
  9. ncbi request reprint Exemplar similarity, study list homogeneity, and short-term perceptual recognition
    Robert M Nosofsky
    Department of Psychology, Indiana University, Bloomington 47405, USA
    Mem Cognit 34:112-24. 2006
    ..We suggest that subjects systematically adjust their response criteria on the basis of the homogeneity of the study list items...
  10. doi request reprint Classification response times in probabilistic rule-based category structures: contrasting exemplar-retrieval and decision-boundary models
    Robert M Nosofsky
    Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
    Mem Cognit 38:916-27. 2010
    ..Supplemental materials related to this article may be downloaded from http://mc.psychonomic-journals.org/content/supplemental...
  11. ncbi request reprint A hybrid-similarity exemplar model for predicting distinctiveness effects in perceptual old-new recognition
    Robert M Nosofsky
    Department of Psychology, Indiana University Bloomington, Bloomington, IN 47405, USA
    J Exp Psychol Learn Mem Cogn 29:1194-209. 2003
    ..A hybrid-similarity exemplar model, combining elements of continuous-dimension distance and discrete-feature matching, was used to account for these distinctiveness effects in the recognition data...
  12. ncbi request reprint Exemplar-based accounts of "multiple-system" phenomena in perceptual categorization
    R M Nosofsky
    Department of Psychology, Indiana University, Bloomington 47405, USA
    Psychon Bull Rev 7:375-402. 2000
    ..Adaptive learning principles may help explain the systematic influence of the selective attention process and of modulation in sensitivity settings on judged similarity...
  13. ncbi request reprint Effects of similarity and practice on speeded classification response times and accuracies: further tests of an exemplar-retrieval model
    R M Nosofsky
    Department of Psychology, Indiana University, Bloomington 47405, USA
    Mem Cognit 27:78-93. 1999
    ..Preliminary evidence was also obtained that stimulus-specific adjustments in the random walk response criteria may have occurred during the course of learning...
  14. ncbi request reprint Exemplar representation without generalization? Comment on Smith and Minda's (2000) "Thirty categorization results in search of a model"
    R M Nosofsky
    Indiana University Bloomington, USA
    J Exp Psychol Learn Mem Cogn 26:1735-43. 2000
    ..Finally, concerns are raised that the all-or-none exemplar processes that form part of Smith and Minda's (2000) elaborated prototype models are implausible and lacking in generality...
  15. ncbi request reprint Single-system models and interference in category learning: commentary on Waldron and Ashby (2001)
    Robert M Nosofsky
    Department of Psychology, Indiana University, Bloomington 47405, USA
    Psychon Bull Rev 9:169-74; discussion 175-80. 2002
    ..In contrast to Waldron and Ashby's argument, we demonstrate that the single-system ALCOVE model (Kruschke, 1992) naturally predicts the result by assuming that its selective-attention learning process is disrupted by the concurrent task...
  16. ncbi request reprint Comparing exemplar-retrieval and decision-bound models of speeded perceptual classification
    R M Nosofsky
    Department of Psychology, Indiana University, Bloomington 47405, USA
    Percept Psychophys 59:1027-48. 1997
    ..Apparently, a fundamental limitation of the DBM is that it predicts that the fastest RTs in the filtering task should be faster than the fastest RTs in the control task, whereas the opposite pattern was observed in our data...
  17. ncbi request reprint Exemplar and prototype models revisited: response strategies, selective attention, and stimulus generalization
    Robert M Nosofsky
    J Exp Psychol Learn Mem Cogn 28:924-40. 2002
    ..s experimental results. Furthermore, the exemplar model predicts classification performance better than the prototype models when novel transfer stimuli are included in the experimental designs...
  18. ncbi request reprint Prototype and exemplar accounts of category learning and attentional allocation: a reassessment
    Safa R Zaki
    Department of Psychology, Williams College, Williamstown, MA 01267, USA
    J Exp Psychol Learn Mem Cogn 29:1160-73. 2003
    ..P. Minda and J. D. Smith (2002). When these shortcomings are corrected, we find no evidence that challenges the attention-allocation assumptions of the exemplar model...
  19. ncbi request reprint Modeling individual differences in perceptual and attentional processes related to bulimic symptoms
    Richard J Viken
    Department of Psychology, Indiana University, Bloomington 47405 7007, USA
    J Abnorm Psychol 111:598-609. 2002
    ..The study shows the potential utility of cognitive science methods for the study of cognitive factors in psychopathology...
  20. ncbi request reprint Comparisons between exemplar similarity and mixed prototype models using a linearly separable category structure
    Roger D Stanton
    Department of Psychology, Indiana University, Bloomington, Indiana 47405, USA
    Mem Cognit 30:934-44. 2002
    ..Because this structure has numerous features that Minda and Smith argued should be conducive to prototype-based processing, the results pose a significant challenge to the mixed prototype view...
  21. pmc Information-processing architectures in multidimensional classification: a validation test of the systems factorial technology
    Mario Fific
    Department of Psychology and Brian Sciences, Indiana University, Bloomington, IN 47405, USA
    J Exp Psychol Hum Percept Perform 34:356-75. 2008
    ..The research provides a validation of the SFT in the domain of classification and adds to the list of converging operations for distinguishing between separable-dimension and integral-dimension interactions...
  22. ncbi request reprint Categorization and recognition performance of a memory-impaired group: evidence for single-system models
    Safa R Zaki
    Department of Psychology, Indiana University, Bloomington, USA
    J Int Neuropsychol Soc 9:394-406. 2003
    ..The results are interpreted as support for a single-system framework in which categorization and recognition depend on one representational system...
  23. ncbi request reprint False prototype enhancement effects in dot pattern categorization
    Safa R Zaki
    Department of Psychology, Williams College, Williamstown, Massachusetts 10267, USA
    Mem Cognit 32:390-8. 2004
    ..These results suggest that classic prototype enhancement effects may not be due to the abstraction of a prototype at time of original learning, but rather to other factors not formalized in extant models...
  24. ncbi request reprint Recognizing distinctive faces: a hybrid-similarity exemplar model account
    Bethany R Knapp
    Indiana University, Bloomington, IN 47405, USA
    Mem Cognit 34:877-89. 2006
    ..The data were accounted for reasonably well by a hybrid-similarity version of an exemplar recognition model (Nosofsky and Zaki, 2003), which includes a feature-matching mechanism that can provide boosts to an item's self-similarity...
  25. ncbi request reprint Feedback interference and dissociations of classification: evidence against the multiple-learning-systems hypothesis
    Roger D Stanton
    Indiana University, Bloomington, Indiana 47405, USA
    Mem Cognit 35:1747-58. 2007
    ..These demonstrations of the reverse dissociation challenge the interpretation that rule-based and information-integration category structures are learned by separate cognitive systems...
  26. ncbi request reprint Assessing clinically relevant perceptual organization with multidimensional scaling techniques
    Teresa A Treat
    Department of Psychiatry, University of Pittsburgh School of Medicine, USA
    Psychol Assess 14:239-52. 2002
    ..They include applied examples from their work in the areas of eating disorders and sexual coercion...

Research Grants17

  1. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2006
    ..abstract_text> ..
  2. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2005
    ..abstract_text> ..
  3. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2004
    ..abstract_text> ..
  4. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2003
    ..abstract_text> ..
  5. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2002
    ..abstract_text> ..
  6. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2001
    ..abstract_text> ..
  7. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2000
    ..abstract_text> ..
  8. PERCEPTUAL CLASSIFICATION, LEARNING AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 1993
    ....
  9. PERCEPTUAL CLASSIFICATION, LEARNING AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 1992
    ....
  10. PERCEPTUAL CLASSIFICATION, LEARNING AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 1991
    ....
  11. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 1999
    ..abstract_text> ..
  12. PERCEPTUAL CLASSIFICATION, LEARNING, AND MEMORY
    ROBERT NOSOFSKY; Fiscal Year: 2007
    ..abstract_text> ..