The prioritization of perceptual processing in categorization

Attention, Perception, and Psychophysics

Volumn 72, Issue 4, 2010, Pages 1079-1096

  Guest, Duncan ^a   Lamberts, Koen ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ATTENTION; DECISION MAKING; FEMALE; HUMAN; MALE; PATTERN RECOGNITION; PERCEPTIVE DISCRIMINATION; PSYCHOLOGICAL MODEL; PSYCHOPHYSICS; RECOGNITION;

ATTENTION; DECISION MAKING; DISCRIMINATION (PSYCHOLOGY); FEMALE; HUMANS; MALE; MODELS, PSYCHOLOGICAL; PATTERN RECOGNITION, VISUAL; PSYCHOPHYSICS; RECOGNITION (PSYCHOLOGY);

EID: 77955302889     PISSN: 19433921     EISSN: None     Source Type: Journal    
DOI: 10.3758/APP.72.4.1079     Document Type: Article

References (71)

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., Ennis, J. M., & Spiering, B. J. (2007). A neurobiological theory of automaticity in perceptual categorization. Psychological Review, 114, 632-656.
3. Ashby, F. G., & Gott, R. E. (1988). Decision rules in the perception and categorization of multidimensional stimuli. Journal of Experimental Psychology: Learning, Memory, & Cognition, 14, 33-53.
4. Ashby, F. G., & Maddox, W. T. (1990). Integrating information from separable psychological dimensions. Journal of Experimental Psychology: Human Perception & Performance, 16, 598-612.
5. Ashby, F. G., & Maddox, W. T. (1994). A response time theory of separability and integrality in speeded classification. Journal of Mathematical Psychology, 38, 423-466.
6. Ashby, F. G., & Maddox, W. T. (2005). Human category learning. Annual Review of Psychology, 56, 149-178.
7. Ashby, F. G., Noble, S., Filoteo, J., Waldron, E. M., & Ell, S. W. (2003). Category learning deficits in Parkinson's disease. Neuropsychology, 17, 115-124.
8. Biederman, I. (1987). Recognition-by-components: A theory of human image understanding. Psychological Review, 94, 115-147.
9. Carrasco, M., Ling, S., & Read, S. (2004). Attention alters appearance. Nature Neuroscience, 7, 308-313.
10. Carrasco, M., & McElree, B. (2001). Covert attention accelerates the rate of visual information processing. Proceedings of the National Academy of Sciences, 98, 5363-5367.
11. Carrasco, M., Williams, P. E., & Yeshurun, Y. (2002). Covert attention increases spatial resolution with or without masks: Support for signal enhancement. Journal of Vision, 2, 467-479.
12. Corbetta, M., Miezin, F. M., Dobmeyer, S., Shulman, G. L., & Petersen, S. E. (1990). Attentional modulation of neural processing of shape, color, and velocity in humans. Science, 248, 1556-1559.
13. Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18, 193-222.
14. Downing, C. J. (1988). Expectancy and visual-spatial attention: Effects on perceptual quality. Journal of Experimental Psychology: Human Perception & Performance, 14, 188-202.
15. Ennis, D. M. (1988). Confusable and discriminable stimuli: Comment on Nosofsky (1986) and Shepard (1986). Journal of Experimental Psychology: General, 117, 408-411.
16. Estes, W. K. (1994). Classification and cognition. New York: Oxford University Press.
17. Filoteo, J. V., Lauritzen, J. S., & Maddox, T. W. (in press). Removing the frontal lobes: The effects of engaging executive functions on perceptual category learning. Psychological Science.
18. 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, 111-115.
19. Folk, C. L., Remington, R. W., & Johnston, J. C. (1992). Involuntary covert orienting is contingent on attentional control settings. Journal of Experimental Psychology: Human Perception & Performance, 18, 1030-1044.
20. Goldstone, R. (1994). Influences of categorization on perceptual discrimination. Journal of Experimental Psychology: General, 123, 178-200.
21. Hawkins, H. L., Hillyard, S. A., Luck, S. J., Downing, C. J. Mouloua, M., & Woodward, D. P. (1990). Visual attention modulates signal detectibility. Journal of Experimental Psychology: Human Perception & Performance, 16, 802-811.
22. Henderson, J. M. (1996). Spatial precues affect target discrimination in the absence of visual noise. Journal of Experimental Psychology: Human Perception & Performance, 22, 780-787.
23. Hillyard, S. A., Vogel, E. K., & Luck, S. J. (1998). Sensory gain control (amplification) as a mechanism of selective attention: Electrophysiological and neuroimaging evidence. Philosophical Transactions of the Royal Society B, 353, 1257-1270.
24. Hoffman, D., & Richards, W. (1984). Parts in recognition. Cognition, 18, 65-96.
25. Johnston, J. C., McCann, R. S., & Remington, R. W. (1995). Chronometric evidence for two types of attention. Psychological Science, 6, 365-369.
26. Kent, C., & Lamberts, K. (2006). The time course of perception and retrieval in matching and recognition. Journal of Experimental Psychology: Human Perception & Performance, 32, 920-931.
27. Kristjánsson, Á., Mackeben, M., & Nakayama, K. (2001). Rapid, object-based learning in the deployment of transient attention. Perception, 30, 1375-1387.
28. LaBerge, D. (1997). Attention, awareness, and the triangular circuit. Consciousness & Cognition, 6, 149-181.
29. Lamberts, K. (1995). Categorization under time pressure. Journal of Experimental Psychology: General, 124, 161-180.
30. Lamberts, K. (1998). The time course of categorization. Journal of Experimental Psychology: Learning, Memory, & Cognition, 24, 695-711.
31. Lamberts, K. (2000). Information accumulation theory of speeded categorization. Psychological Review, 107, 227-260.
32. Lamberts, K., Brockdorff, N., & Heit, E. (2002). Perceptual processes in matching and recognition of complex pictures. Journal of Experimental Psychology: Human Perception & Performance, 28, 1176-1191.
33. Lamberts, K., & Freeman, R. P. J. (1999). Building object representations from parts: Tests of a stochastic sampling model. Journal of Experimental Psychology: Human Perception & Performance, 25, 904-926.
34. Liu, T. S., Pestilli, F., & Carrasco, M. (2005). Transient attention enhances perceptual performance and fMRI response in human visual cortex. Neuron, 45, 469-477.
35. Loftus, G. R., Busey, T. A., & Senders, J. W. (1993). Providing a sensory basis for models of visual information acquisition. Perception & Psychophysics, 54, 535-554.
36. Lu, Z.-L., & Dosher, B. A. (1998). External noise distinguishes attention mechanisms. Vision Research, 38, 1183-1198.
37. Luce, R. D. (1963). Detection and recognition. In R. D. Luce, R. R. Bush, & E. Galanter (Eds.), Handbook of mathematical psychology (pp. 103-189). New York: Wiley.
38. Luck, S. J., Chelazzi, L., Hillyard, S. A., & Desimone, R. (1997). Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex. Journal of Neurophysiology, 77, 24-42.
39. Luck, S. J., Hillyard, S. A., Mouloua, M., & Hawkins, H. L. (1996). Mechanisms of visual-spatial attention: Resource allocation or uncertainty reduction? Journal of Experimental Psychology: Human Perception & Performance, 22, 725-737.
40. Luck, S. J., Hillyard, S. A., Mouloua, M., Woldorff, M. G., Clark, V. P., & Hawkins, H. L. (1994). Effects of spatial cuing on luminance detectability: Psychophysical and electrophysiological evidence for early selection. Journal of Experimental Psychology: Human Perception & Performance, 20, 887-904.
41. Macmillan, N. A., & Creelman, C. D. (1990). Response bias: Characteristics of detection theory, threshold theory, and "nonparametric" indexes. Psychological Bulletin, 107, 401-413.
42. Macmillan, N. A., & Kaplan, H. L. (1985). Detection theory analysis of group data: Estimating sensitivity from average hit and false-alarm rates. Psychological Bulletin, 98, 185-199.
43. 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.
44. Maddox, W. T. (2001). Separating perceptual processes from decisional processes in identification and categorization. Perception & Psychophysics, 63, 1183-1200.
45. 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, & Cognition, 29, 650-662.
46. Maddox, W. T., Ashby, F. G., & Waldron, E. M. (2002). Multiple attention systems in perceptual categorization. Memory & Cognition, 30, 325-339.
47. 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.
48. 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, & Cognition, 29, 467-480.
49. Maddox, W. T., & Filoteo, J. V. (2005). The neuropsychology of perceptual category learning. In H. Cohen & C. Lefebvre (Eds.), Handbook of categorization in cognitive science (pp. 573-599). Amsterdam: Elsevier.
50. Marr, D., & Nishihara, K. (1978). Representation and recognition of the spatial organization of three-dimensional shapes. Proceedings of the Royal Society B, 200, 269-294.
51. Martinez-Trujillo, J. C., & Treue, S. (2004). Feature-based attention increases the selectivity of population responses in primate visual cortex. Current Biology, 14, 744-751.
52. Maunsell, J. H. R., & Treue, S. (2006). Feature-based attention in visual cortex. Trends in Neurosciences, 29, 317-322.
53. Meyer, D. E., Irwin, D. E., Osman, A. M., & Kounios, J. (1988). The dynamics of cognition and action: Mental processes inferred from speed-accuracy decomposition. Psychological Review, 95, 183-237.
54. Moran, J., & ;1;Desimone, R. (1985). Selective attention gates visual processing in the extrastriate cortex. Science, 229, 782-784.
55. Nosofsky, R. M. (1986). Choice, similarity, and the context theory of classification. Journal of Experimental Psychology: Learning, Memory, & Cognition, 10, 104-114.
56. Nosofsky, R. M. (1988). On exemplar-based exemplar representations: Reply to Ennis (1988). Journal of Experimental Psychology: General, 117, 412-414.
57. Nosofsky, R. M., & Palmeri, T. J. (1997). An exemplar-based random walk model of speeded classification. Psychological Research, 104, 266-300.
58. Posner, M. I. (1980). Orienting of attention. Quarterly Journal of Experimental Psychology, 32, 3-25.
59. Posner, M. I., & Petersen, S. E. (1990). The attention system of the human brain. Annual Review of Neuroscience, 13, 25-42.
60. Rehder, B., & Hoffman, A. B. (2005). Thirty-something categorization results explained: Selective attention, eyetracking, and models of category learning. Journal of Experimental Psychology: Learning, Memory, & Cognition, 31, 811-829.
61. Reynolds, J. H., & Desimone, R. (1999). The role of neural mechanisms of attention in solving the binding problem. Neuron, 24, 19-29.
62. Rumelhart, D. E. (1970). A multicomponent theory of perception of briefly exposed visual displays. Journal of Mathematical Psychology, 7, 191-218.
63. Smith, J. D., & Minda, J. P. (2000). Thirty categorization results in search of a model. Journal of Experimental Psychology: Learning, Memory, & Cognition, 25, 3-27.
64. Stanton, R. D., & Nosofsky, R. M. (2007). Feedback interference and dissociations of classification: Evidence against the multiplelearning-systems hypothesis. Memory & Cognition, 35, 1747-1758.
65. Townsend, J. T., Hu, G. G., & Ashby, F. G. (1981). Perceptual sampling of orthogonal straight line features. Psychological Research, 43, 259-275.
66. Treue, S. (2001). Neural correlates of attention in primate visual cortex. Trends in Neurosciences, 24, 295-300.
67. Treue, S., & Katzner, S. (2007). Visual attention: Of features and transparent surfaces. Trends in Cognitive Sciences, 11, 451-453.
68. Treue, S., & Martinez-Trujillo, J. C. (1999). Feature-based attention influences motion processing gain in macaque visual cortex. Nature, 399, 575-579.
69. Vecera, S. P., Behrmann, M., & McGoldrick, J. (2000). Selective attention to the parts of an object. Psychonomic Bulletin & Review, 7, 301-308.
70. Yeshurun, Y., & Carrasco, M. (1998). Attention improves or impairs visual performance by enhancing spatial resolution. Nature, 396, 72-75.
71. Yeshurun, Y., & Carrasco, M. (1999). Spatial attention improves performance in spatial resolution tasks. Vision Research, 39, 293-306