The FeatureGate model of visual selection

Psychological Research

Volumn 62, Issue 2-3, 1999, Pages 182-194

  Cave, Kyle R ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; ATTENTION; HUMAN; PHYSIOLOGY; PSYCHOPHYSICS; VISION;

ATTENTION; HUMANS; NEURAL NETWORKS (COMPUTER); PSYCHOPHYSICS; VISUAL PERCEPTION;

EID: 0032610278     PISSN: 03400727     EISSN: 14302772     Source Type: Journal    
DOI: 10.1007/s004260050050     Document Type: Article

References (59)

1. Bacon, W. F., & Egeth, H. E. (1994). Overriding stimulus-driven attentional capture. Perception & Psychophysics, 55, 485-496.
2. Bichot, N. P., Cave, K. R., & Pashler, H. (in press). Visual selection mediated by location: Feature-based selection of noncontiguous locations. Perception & Psychophysics.
3. Briand, K. A., & Klein, R. M. (1987). Is Posner's "beam" the same as Treisman's "glue?" On the relation between visual orienting and feature integration theory. Journal of Experimental Psychology: Human Perception and Performance, 13, 228-241.
4. Bundesen, C. (1990). A theory of visual attention. Psychological Review, 97, 523-547.
5. Bundesen, C., Shibuya, H., & Larsen, A. (1985). Visual selection from multielement displays: A model for partial report. In M. I. Posner & O. S. M. Marin (Eds.), Attention and performance: XI. Mechanisms of attention (pp.631-646). Hillsdale, NJ: Erlbaum.
6. Caputo, G., & Guerra, S. (1998). Attentional selection by distractor suppression. Vision Research, 38, 669-689.
7. Castiello, U., & Umiltà, C. (1992). Splitting focal attention. Journal of Experimental Psychology: Human perception and Performance, 18, 837-848
8. Cave, K. R., Kim M.-S., Bichot, N. P., & Sobel, K. V. (1999). Visual selection within a hierarchical network: The FeatureGate model. Manuscript submitted for publication.
9. Cave, K. R., & Pashler, H. (1995). Visual selection mediated by location: Selecting successive visual objects. Perception and Psychophysics, 57, 421-432.
10. Cave, K. R., & Wolfe, J. M. (1990). Modeling the role of parallel processing in visual search. Cognitive Psychology, 22, 225-271.
11. Cave, K. R., & Zimmerman, J. M. (1997). Flexibility in spatial attention before and after practice. Psychological Science, 8, 399-403.
12. Cepeda, N., Cave, K. R., Bichot, N. P., & Kim, M.-S. (1998). Spatial selection via feature-driven inhibition of distractor locations. Perception & Psychophysics, 60, 727-746.
13. Compton, B. J., & Logan, G. D. (1993). Evaluating a computational model of perceptual grouping by proximity. Perception & Psychophysics, 53, 403-421.
14. Downing, C. J., & Pinker, S. (1985). The spatial structure of visual attention. In M. I. Posner & O. S. M. Marin (Eds.), Attention and performance:XI. Mechanisms of attention (pp. 171-187). Hillsdale, NJ: Erlbaum.
15. Duncan, J., & Humphreys, G. W. (1989). Visual search and stimulus similarity. Psychological Review, 96, 433-458.
16. Eriksen, B. A., & Eriksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics, 16, 143-149.
17. Eriksen, C. W. (1995). The flankers task and response competition: A useful tool for investigating a variety of cognitive problems. Visual Cognition, 2, 101-118.
18. Eriksen, C. W., & Hoffman, J. E. (1974). Selective attention: Noise suppression or signal enhancement? Bulletin of the Psychonomic Society, 4, 587-589.
19. Hoffman, J. E., & Nelson, B. (1981). Spatial selectivity in visual search. Perception & Psychophysics, 30, 283-290.
20. Hoffman, J. E., Nelson, B., & Houck, M. R. (1983). The role of attentional resources in automatic detection. Cognitive Psychology, 15, 379-410.
21. Humphreys, G. W., & Müller, H. J. (1993). Search via recursive rejection (SERR): A connectionist model of visual search. Cognitive Psychology, 25, 43-110.
22. Jonides, J. (1981). Voluntary versus automatic control over the mind's eye's movement. In J. Long & A. Baddeley (Eds.), Attention & performance (vol. 9, pp. 187-203). Hillsdale, NJ: Erlbaum.
23. Jonides, J., & Yantis, S. (1988). Uniqueness of abrupt visual onset in capturing attention. Perception & Psychophysics, 43, 346-354.
24. Julesz, B. (1984). A brief outline of the texton theory of human vision. Trends in Neuroscience, 7, 41-45.
25. Julesz, B., & Bergen, J. R. (1983). Textons, the fundamental elements in preattentive vision and perception of textures. The Bell System Technical Journal, 62, 1619-1645,
26. Kim, M.-S., & Cave, K. R. (1995). Spatial attention in visual search for features and feature conjuctions. Psychlogical Science, 6, 376-380.
27. Koch, C., & Ullman, S. (1985). Shifts in selective visual attention: Towards the underlying neural circuitry. Human Neurobiology, 4, 219-227.
28. Kramer, A. F., & Hahn, S. (1995). Splitting the beam: Distribution of attention over noncontiguous regions of the visual field. Psychological Science, 6, 381-386.
29. LaBerge, D. (1995). Attentional processing: The brain's art of mindfulness. Cambridge, MA: Harvard University Press.
30. LaBerge, D., & Brown, V. (1989). Theory of attentional operations in shape identification. Psychological Review, 96, 101-124.
31. Logan, G. D. (1996). The CODE theory of visual attention: An integration of space-based and object-based attention. Psychological Review, 103, 603-649.
32. Logan, G. D. & Bundesen, C. (1996). Spatial effects in the partial report paradigm: A challenge for theories of visual spatial attention. In D.L. Medin (Ed.), The psychology of learning and motivation (Vol. 35). San Diego, CA: Academic Press.
33. Mozer, M. C. (1991). The perception of multiple objects. Cambridge, MA: MIT Press.
34. Olshausen, B. A., Anderson, C. H., Van Essen, D. C. (1993). A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information. The Journal of Neuroscience, 13, 4700-4719.
35. Pashler, H. (1987). Detecting conjuctions of color and form: Reassessing the serial search hypothesis. Perception & Psychophysics, 41, 191-201.
36. Pashler, H. (1988). Cross-dimensional interaction and texture segregation. Perception & Psychophysics, 43, 307-318.
37. Phaf, R. H., Van der Heijden, A. H. C., Hudson, P. T. W. (1990). SLAM: A connectionist model for attention in visual selection tasks. Cognitive Psychology, 22, 273-341.
38. Posner, M. I., & Cohen, Y. (1984). Components of visual orienting. In H. Bouma & D. Bowhuis (Eds.), Attention and performance (vol. 10, 531-556). Hillsdale, NJ: Erlbaum.
39. Posner, M. I., Nissen, M. J., & Ogden, W. C. (1978). Attended and unattended processing modes: The role of set for spatial location. In H. J. Pick & I. J. Saltzman (Eds), Modes of perception (pp. 137-157). Hillsdale, NJ: Erlbaum.
40. Schall, J. D., Hanes, D. P., Thompson, K. G., & King, D. J. (1995). Saccade target selection in frontal eye field of macaque: I. Visual and premovement activation. Journal of Neuroscience, 15, 6905-6918.
41. Schneider, W. X. (1995), VAM: A neuro-cognitive model for visual attention control of segmentation, object recognition, and space-based motor action. Visual Cognition, 2, 331-375.
42. Shibuya, H. (1993). Efficiency of visual selection in duplex and conjunction conditions in partial report. Perception & Psychophysics, 54, 716-732.
43. Shibuya, H., & Bundesen, C. (1988). Visual selection from multi-element displays: Measuring and modeling effects of exposure duration. Journal of Experimental Psychology: Human Perception and Performance, 14, 591-600
44. Theeuwes, J. (1991). Cross-dimensional perceptual selectivity. Perception & Psychophysics, 50, 184-193
45. Theeuwes, J. (1992). Perceptual selectivity for color and form. Perception & Psychophysics, 51, 599-606.
46. Theeuwes, J. (1994). Stimulus-driven capture and attentional set: Selective search for color and visual abrupt onsets. Journal of Experimental Psychology: Human Perception and Performance, 20, 799-806.
47. Theeuwes, J. (1995). Temporal and spatial characteristics of preattentive and attentive processing. Visual Cognition, 2, 221-233.
48. Theeuwes, J. (1996). Perceptual selectivity for color and form: On the nature of the interference effect. In A. F, Kramer, M. G. H. Coles, and G. D. Logan (Eds.), Converging operations in the study of visual selective attention, (pp. 297-314). Washington, D.C.: American Psychological Association.
49. Treisman, A. M. (1988). Features and objects: The fourteenth Bartlett memorial lecture. The Quarterly Journal of Experimental Psychology, 40A, 201-237.
50. Treisman, A. M., & Gelade, G. (1980). A feature integration theory of attention. Cognitive Psychology, 12, 97-136.
51. Treisman, A. M., & Gormican, S. (1988). Feature search in early vision: Evidence from search asymmetries. Psychological Review, 95, 15-48.
52. Tsal, Y., & Lavie, N. (1988). Attending to color and shape: The special role of location in selective visual processing. Perception & Psychophysics, 44, 15-21.
53. Tsal, Y., & Lavie, N. (1993). Location dominance in attending to color and shape. Journal of Experimental Psychology: Human Perception and Performance, 19, 131-139.
54. Van der Heijden, A. H. C. (1993) The role of position in object selection in vision Psychological Research, 56, 44-58.
55. van Offelen, M. P., & Vos, P. G. (1982). Configurational effects on the enumeration of dots: Counting by groups. Memory and Cognition, 10, 396-404.
56. van Offelen, M. P. & Vos, P. G. (1983). An algorithm for pattern description on the level of relative proximity. Pattern Recognition, 16, 341-348.
57. Wolfe, J. M. (1994). Guided search 2.0: A revised model of visual search. Psvchonomic Bulletin and Review, 1, 202-238.
58. Wolfe J. M., Cave K. R., & Franzel, S. L., (1989). Guided search: An alternative to the feature integration model for visual search. Journal of Experimental Psychology: Human Perception and Performance, 15, 419-433.
59. Wolfe, J. M., & Gancarz, G. (1996). Guided search 3.0: A model of visual search catches up with Jay Enoch 40 years later. In V. Lakshminarayanan (Ed.), Basic and clinical applications of vision science (pp. 189-192). Dordrecht, Netherlands: Kluwer Academic.