The dimensionality of perceptual category learning: A state-trace analysis

Memory and Cognition

Volumn 38, Issue 5, 2010, Pages 563-581

  Newell, Ben R ^a   Dunn, John C ^b   Kalish, Michael ^c  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b UNIVERSITY OF ADELAIDE   (Australia)

^c UNIVERSITY OF LOUISIANA AT LAFAYETTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ATTENTION; DECISION MAKING; DEPTH PERCEPTION; DISCRIMINATION LEARNING; HUMAN; LEARNING; MONTE CARLO METHOD; ORIENTATION; PATTERN RECOGNITION; PROBABILITY; PSYCHOLOGICAL MODEL; SHORT TERM MEMORY; STATISTICAL MODEL; STROOP TEST;

ATTENTION; DISCRIMINATION LEARNING; HUMANS; JUDGMENT; LIKELIHOOD FUNCTIONS; MEMORY, SHORT-TERM; MODELS, PSYCHOLOGICAL; MONTE CARLO METHOD; ORIENTATION; PATTERN RECOGNITION, VISUAL; PROBABILITY; SERIAL LEARNING; SPACE PERCEPTION; STROOP TEST;

EID: 77956492510     PISSN: 0090502X     EISSN: None     Source Type: Journal    
DOI: 10.3758/MC.38.5.563     Document Type: Article

References (49)

1. 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.
2. ASHBY, F. G., & ELL, S. W. (2002). Single versus multiple systems of category learning: Reply to Nosofsky and Kruschke (2002). Psychonomic Bulletin & Review, 9, 175-180.
3. ASHBY, F. G., & LEE, W. W. (1991). Predicting similarity and categorization from identification. Journal of Experimental Psychology: General, 120, 150-172.
4. ASHBY, F. G., & MADDOX, W. T. (2005). Human category learning. Annual Review of Psychology, 56, 149-178.
5. BADDELEY, A. D. (2003). Working memory: Looking back and looking forward. Nature Reviews Neuroscience, 4, 829-839.
6. BAMBER, D. (1979). State-trace analysis: A method of testing simple theories of causation. Journal of Mathematical Psychology, 19, 137-181.
7. BRAINARD, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10, 433-436.
8. DECARO, M. S., CARLSON, K. D., THOMAS, R. D., & BEILOCK, S. L. (2009). When and how less is more: Reply to Tharp and Pickering. Cognition, 111, 397-403.
9. DECARO, M. S., THOMAS, R. D., & BEILOCK, S. L. (2008). Individual differences in category learning: Sometimes less working memory capacity is better than more. Cognition, 107, 284-294.
10. DUNN, J. C. (2003). The elusive dissociation. Cortex, 39, 177-179.
11. DUNN, J. C. (2008). The dimensionality of the remember-know task: A state-trace analysis. Psychological Review, 115, 426-446.
12. DUNN, J. C., & JAMES, R. N. (2003). Signed difference analysis: Theory and application. Journal of Mathematical Psychology, 47, 389-416.
13. DUNN, J. C., & KIRSNER, K. (1988). Discovering functionally independent mental processes: The principle of reversed association. Psychological Review, 95, 91-101.
14. EFRON, B., & TIBSHIRANI, R. J. (1993). An introduction to the bootstrap. New York: Chapman & Hall.
15. FILOTEO, J. V., MADDOX, W. T., SIMMONS, A. N., ING, A. D., CAGIGAS, X. E., MATTHEWS, S., ET AL. (2005). Cortical and subcortical brain regions involved in rule-based category learning. NeuroReport, 16, 111-115.
16. FOERDE, K., POLDRACK, R. A., & KNOWLTON, B. J. (2007). Secondary task effects on classification learning. Memory & Cognition, 35, 864-874.
17. HARLEY, E. M., DILLON, A. M., & LOFTUS, G. R. (2004). Why is it difficult to see in the fog? How stimulus contrast affects visual perception and visual memory. Psychonomic Bulletin & Review, 11, 197-231.
18. HEATHCOTE, A., BROWN, S. D., & PRINCE, M. (2009). The design and analysis of state-trace experiments. Manuscript submitted for publication.
19. HENSON, R. (2006). Forward inference using functional neuroimaging: Dissociations versus associations. Trends in Cognitive Sciences, 10, 64-69.
20. JAMESON, T. L., HINSON, J. M., & WHITNEY, P. (2004). Components of working memory and somatic markers in decision making. Psychonomic Bulletin & Review, 11, 515-520.
21. JANG, Y., & NELSON, T. O. (2005). How many dimensions underlie judgments of learning and recall? Evidence from state-trace methodology. Journal of Experimental Psychology: General, 134, 308-326.
22. KRUSCHKE, J. K. (1992). ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22-44.
23. LAGNADO, D. A., NEWELL, B. R., KAHAN, S., & SHANKS, D. R. (2006). Insight and strategy in multiple-cue learning. Journal of Experimental Psychology: General, 135, 162-183.
24. LOFTUS, G. R. (1978). On interpretation of interactions. Memory & Cognition, 6, 312-319.
25. LOFTUS, G. R., OBERG, M. A., & DILLON, A. M. (2004). Linear theory, dimensional theory, and the face-inversion effect. Psychological Review, 111, 835-865.
26. LOVE, B. C., & GURECKIS, T. M. (2007). Models in search of a brain. Cognitive, Affective, & Behavioral Neuroscience, 7, 90-108.
27. MADDOX, W. T., & ASHBY, F. G. (2004). Dissociating explicit and procedural-learning based systems of perceptual category learning. Behavioural Processes, 66, 309-332.
28. 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, & Cognition, 31, 100-107.
29. MCLACHLAN, G., & PEEL, D. (2000). Finite mixture models. New York: Wiley.
30. MEDIN, D. L., & SCHWANENFLUGEL, P. J. (1981). Linear separability in classification learning. Journal of Experimental Psychology: Human Learning & Memory, 7, 355-368.
31. MURPHY, G. L. (2002). The big book of concepts. Cambridge, MA: MIT Press.
32. NEWELL, B. R., & DUNN, J. C. (2008). Dimensions in data: Testing psychological models using state-trace analysis. Trends in Cognitive Sciences, 12, 285-290.
33. NEWELL, B. R., LAGNADO, D. A., & SHANKS, D. R. (2007). Challenging the role of implicit processes in probabilistic category learning. Psychonomic Bulletin & Review, 14, 505-511.
34. NOMURA, E. M., & REBER, P. J. (2008). A review of medial temporal lobe and caudate contributions to visual category learning. Neuroscience & Biobehavioral Reviews, 32, 279-291.
35. NORMAN, D. A., & BOBROW, D. G. (1975). On data-limited and resource-limited processes. Cognitive Psychology, 7, 44-64.
36. NOSOFSKY, R. M., & JOHANSEN, M. K. (2000). Exemplar-based accounts of "multiple-system" phenomena in perceptual categorization. Psychonomic Bulletin & Review, 7, 375-402.
37. NOSOFSKY, R. M., & KRUSCHKE, J. K. (2002). Single-system models and interference in category learning: Commentary on Waldron and Ashby (2001). Psychonomic Bulletin & Review, 9, 169-174.
38. NOSOFSKY, R. M., & ZAKI, S. R. (1998). Dissociations between categorization and recognition in amnesics and normal individuals: An exemplar-based interpretation. Psychological Science, 9, 247-255.
39. PRICE, A. L., FILOTEO, J. V., & MADDOX, W. T. (2009). Rule-based category learning in patients with Parkinson's disease. Neuropsychologia, 47, 1213-1226.
40. SEGER, C. A., & CINCOTTA, C. M. (2005). The roles of the caudate nucleus in human classification learning. Journal of Neuroscience, 25, 2941-2951.
41. SEGER, C. A., & CINCOTTA, C. M. (2006). Dynamics of frontal, striatal, and hippocampal systems during rule learning. Cerebral Cortex, 16, 1546-1555.
42. SHALLICE, T. (1988). From neuropsychology to mental structure. New York: Cambridge University Press.
43. SHERRY, D. F., & SCHACTER, D. L. (1987). The evolution of multiple memory systems. Psychological Review, 94, 439-454.
44. 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.
45. THARP, I. J., & PICKERING, A. D. (2009). A note on DeCaro, Thomas, and Beilock (2008): Further data demonstrate complexities in the assessment of information-integration category learning. Cognition, 111, 410-414.
46. WAGENMAKERS, E.-J., RATCLIFF, R., GOMEZ, P., & IVERSON, G. J. (2004). Assessing model mimicry using the parametric bootstrap. Journal of Mathematical Psychology, 48, 28-50.
47. WALDRON, E. M., & ASHBY, F. G. (2001). The effects of concurrent task interference on category learning: Evidence for multiple category learning systems. Psychonomic Bulletin & Review, 8, 168-176.
48. ZEITHAMOVA, D., & MADDOX, W. T. (2006). Dual-task interference in perceptual category learning. Memory & Cognition, 34, 387-398.
49. ZEITHAMOVA, D., & MADDOX, W. T. (2007). The role of visuospatial and verbal working memory in perceptual category learning. Memory & Cognition, 35, 1380-1398.