Visual search: A retrospective

Journal of Vision

Volumn 11, Issue 5, 2011, Pages

  Eckstein, Miguel P ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Eye movements; Saliency; Visual attention; Visual search

Indexed keywords

ANIMAL; ASSOCIATION; ATTENTION; EYE MOVEMENT; HUMAN; PATTERN RECOGNITION; PHYSIOLOGY; PSYCHOLOGICAL MODEL; REVIEW;

ANIMALS; ATTENTION; CUES; EYE MOVEMENTS; HUMANS; MODELS, PSYCHOLOGICAL; PATTERN RECOGNITION, VISUAL;

EID: 84859467630     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/11.5.14     Document Type: Article

References (321)

1. Abbey, C. K., & Eckstein, M. P. (2002). Classification image analysis: Estimation and statistical inference for two-alternative forced-choice experiments. Journal of Vision, 2(1):5, 66-78, http://www.journalofvision.org/ content/2/1/5, doi:10.1167/2.1.5. [PubMed] [Article]
2. Abbey, C. K., & Eckstein, M. P. (2007). Classification images for simple detection and discrimination tasks in correlated noise. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 24, B110-B124.
3. Anton-Erxleben, K., Stephan, V. M., & Treue, S. (2009). Attention reshapes center-surround receptive field structure in macaque cortical area MT. Cerebral Cortex, 19, 2466-2478.
4. Araujo, C., Kowler, E., & Pavel, M. (2001). Eye movements during visual search: The costs of choosing the optimal path. Vision Research, 41, 3613-3625.
5. Avraham, T., Yeshurun, Y., & Lindenbaum, M. (2008). Predicting visual search performance by quantifying stimuli similarities. Journal of Vision, 8(4):9, 1-22, http://www.journalofvision.org/content/8/4/9, doi:10.1167/8.4.9. [PubMed] [Article]
6. Balan, P. F.,& Gottlieb, J. (2009). Functional significance of nonspatial information in monkey lateral intraparietal area. Journal of Neuroscience, 29, 8166-8176.
7. Balboa, R. M., & Grzywacz, N. M. (2000). The role of early retinal lateral inhibition: More than maximizing luminance information. Visual Neuroscience, 17, 77-89.
8. Baldassi, S., & Burr, D. C. (2000). Feature-based integration of orientation signals in visual search. Vision Research, 40, 1293-1300.
9. Baldassi, S., & Verghese, P. (2002). Comparing integration rules in visual search. Journal of Vision, 2(8):3, 559-570, http://www.journalofvision.org/content/2/8/3, doi:10:1167/2.8.3. [PubMed] [Article]
10. Basso, M. A., & Wurtz, R. H. (1997). Modulation of neuronal activity by target uncertainty. Nature, 389, 66-69.
11. Beutter, B. R., Eckstein, M. P., & Stone, L. S. (2003). Saccadic and perceptual performance in visual search tasks: I. Contrast detection and discrimination. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 20, 1341-1355.
12. Bisley, J. W., & Goldberg, M. E. (2010). Attention, intention, and priority in the parietal lobe. Annual Review of Neuroscience, 33, 1-21.
13. Bisley, J. W., Mirpour, K., Arcizet, F., & Ong, W. S. (2011). The role of the lateral intraparietal area in orienting attention and its implications for visual search. European Journal of Neuroscience, 33, 1982-1990.
14. Blackwell, H. R. (1946). Contrast thresholds of the human eye. Journal of the Optical Society of America A, 36, 624-643.
15. Bochud, F. O., Abbey, C. K., & Eckstein, M. P. (2004). Search for lesions in mammograms: Statistical characterization of observer responses. Medical Physics, 31, 24-36.
16. Bond, A. B. (1983). Visual search and selection of natural stimuli in the pigeon: The attention threshold hypothesis. Journal of Experimental Psychology: Animal Behavior Processes, 9, 292-306.
17. Brady, T. F., & Chun, M. M. (2007). Spatial constraints on learning in visual search: Modeling contextual cuing. Journal of Experimental Psychology: Human Perception and Performance, 33, 798-815.
18. Brady, T. F., Konkle, T., & Alvarez, G. A. (2011). A review of visual memory capacity: Beyond individual items and toward structured representations. Journal of Vision, 11(5):4, 1-34, http://www.journalofvision. org/content/11/5/4, doi:10.1167/11.5.4. [PubMed] [Article]
19. Bravo, M. J., & Farid, H. (2009). The specificity of the search template. Journal of Vision, 9(1):34, 1-9, http://www.journalofvision.org/content/9/1/34, doi:10.1167/9.1.34. [PubMed] [Article]
20. Brefczynski, J. A., & DeYoe, E. A. (1999). A physiological correlate of the "spotlight" of visual attention. Nature Neuroscience, 2, 370-374.
21. Brockmole, J. R., Castelhano, M. S., & Henderson, J. M. (2006). Contextual cueing in naturalistic scenes: Global and local contexts. Journal of Experimental Psychology: Learning, Memory, and Cognition, 32, 699-706.
22. Brockmole, J. R., Hambrick, D. Z., Windisch, D. J., & Henderson, J. M. (2008). The role of meaning in contextual cueing: Evidence from chess expertise. The Quarterly Journal of Experimental Psychology, 61, 1886-1896.
23. Brockmole, J. R., & Henderson, J. M. (2006). Recognition and attention guidance during contextual cueing in real-world scenes: Evidence from eye movements. Quarterly Journal of Experimental Psychology, 59, 1177-1187.
24. Brosnan, T. (2004). Improving quality inspection of food products by computer visionVA review. Journal of Food Engineering, 61, 3-16.
25. Bruce, N. D. B., & Tsotsos, J. K. (2009). Saliency, attention, and visual search: An information theoretic approach. Journal of Vision, 9(3):5, 1-24, http:// www.journalofvision.org/content/9/3/5, doi:10.1167/ 9.3.5. [PubMed] [Article]
26. Bundesen, C. (1990). A theory of visual attention. Psychological Review, 97, 523-547.
27. Bundesen, C., Habekost, T., & Kyllingsbaek, S. (2005). A neural theory of visual attention: Bridging cognition and neurophysiology. Psychological Review, 112, 291-328.
28. Burgess, A. (1985). Visual signal detection: III. On Bayesian use of prior knowledge and cross correlation. Journal of the Optical Society of America A: Optics and Image Science, 2, 1498-1507.
29. Burgess, A. E., & Ghandeharian, H. (1984a). Visual signal detection: I. Ability to use phase information. Journal of the Optical Society of America A: Optics and Image Science, 1, 900-905.
30. Burgess, A. E., & Ghandeharian, H. (1984b). Visual signal detection: II. Signal-location identification. Journal of the Optical Society of America A: Optics and Image Science, 1, 906-910.
31. Burgess, A. E., Li, X., & Abbey, C. K. (1997). Visual signal detectability with two noise components: Anomalous masking effects. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 14, 2420-2442.
32. Busey, T., & Palmer, J. (2008). Set-size effects for identification versus localization depend on the visual search task. Journal of Experimental Psychology: Human Perception and Performance, 34, 790-810.
33. Cameron, E. L., Tai, J. C., Eckstein, M. P., & Carrasco, M. (2004). Signal detection theory applied to three visual search tasksVIdentification, yes/no detection and localization. Spatial Vision, 17, 295-325.
34. Campos, M., Breznen, B., Bernheim, K.,&Andersen, R. A. (2005). Supplementary motor area encodes reward expectancy in eye-movement tasks. Journal of Neurophysiology, 94, 1325-1335.
35. Carmi, R., & Itti, L. (2006). Visual causes versus correlates of attentional selection in dynamic scenes. Vision Research, 46, 4333-4345.
36. Carrasco, M. (2011). Visual attention: The past 25 years. Vision Research, 51, 1484-1525.
37. Carrasco, M., Evert, D. L., Chang, I., & Katz, S. M. (1995). The eccentricity effect: Target eccentricity affects performance on conjunction searches. Perception & Psychophysics, 57, 1241-1261.
38. Carrasco, M., Talgar, C. P., & Cameron, E. L. (2001). Characterizing visual performance fields: Effects of transient covert attention, spatial frequency, eccentricity, task and set size. Spatial Vision, 15, 61-75.
39. Castelhano, M. S., & Heaven, C. (2010). The relative contribution of scene context and target features to visual search in scenes. Attention, Perception & Psychophysics, 72, 1283-1297.
40. Castelhano, M. S., & Heaven, C. (2011). Scene context influences without scene gist: Eye movements guided by spatial associations in visual search. Psychonomic Bulletin & Review, 18, 890-896.
41. Castella, C., Eckstein, M. P., Abbey, C. K., Kinkel, K., Verdun, F. R., Saunders, R. S., et al. (2009). Mass detection on mammograms: Influence of signal shape uncertainty on human and model observers. Journal of the Optical Society of America A, 26, 425-436.
42. Chawla, D., Rees, G., & Friston, K. J. (1999). The physiological basis of attentional modulation in extrastriate visual areas. Nature Neuroscience, 2, 671-676.
43. Chun, M. M. (2000). Contextual cueing of visual attention. Trends in Cognitive Sciences, 4, 170-178.
44. Chun, M. M., & Jiang, Y. (1998). Contextual cueing: Implicit learning and memory of visual context guides spatial attention. Cognitive Psychology, 36, 28-71.
45. Chun, M. M., & Phelps, E. A. (1999). Memory deficits for implicit contextual information in amnesic subjects with hippocampal damage. Nature Neuroscience, 2, 844-847.
46. Cohen, J. Y., Heitz, R. P., Woodman, G. F., & Schall, J. D. (2009). Neural basis of the set-size effect in frontal eye field: Timing of attention during visual search. Journal of Neurophysiology, 101, 1699-1704.
47. Cohn, T. E., & Lasley, D. J. (1974). Detectability of a luminance increment: Effect of spatial uncertainty. Journal of the Optical Society of America, 64, 1715-1719.
48. Cohn, T. E., & Wardlaw, J. C. (1985). Effect of large spatial uncertainty on foveal luminance increment detectability. Journal of the Optical Society of America A: Optics and Image Science, 2, 820-825.
49. Colby, C. L., Gattass, R., Olson, C. R., & Gross, C. G. (1988). Topographical organization of cortical afferents to extrastriate visual area PO in the macaque: A dual tracer study. The Journal of Comparative Neurology, 269, 392-413.
50. Corbetta,M., Kincade, J. M., Ollinger, J. M.,McAvoy, M. P., & Shulman, G. L. (2000). Voluntary orienting is dissociated from target detection in human posterior parietal cortex. Nature Neuroscience, 3, 292-297.
51. Corbetta, M., Miezin, F., Dobmeyer, S., Shulman, G., & Petersen, S. (1990). Attentional modulation of neural processing of shape, color, and velocity in humans. Science, 248, 1556-1559.
52. Corbetta, M., Miezin, F., Dobmeyer, S., Shulman, G., & Petersen, S. (1991). Selective and divided attention during visual discriminations of shape, color, and speed: Functional anatomy by positron emission tomography. Journal of Neuroscience, 11, 2383-2402.
53. Corbetta, M., & Shulman, G. L. (2002). Control of goaldirected and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 3, 201-215.
54. Daniel, P. M., & Whitteridge, D. (1961). The representation of the visual field on the cerebral cortex in monkeys. The Journal of Physiology, 159, 203-221.
55. Dassonville, P., & Bala, J. K. (2004). Perception, action, and Roelofs effect: A mere illusion of dissociation. PLoS Biology, 2, e364.
56. Davis, E. T., & Graham, N. (1981). Spatial frequency uncertainty effects in the detection of sinusoidal gratings. Vision Research, 21, 705-712.
57. Davis, E. T., Kramer, P., & Graham, N. (1983). Uncertainty about spatial frequency, spatial position, or contrast of visual patterns. Perception & Psychophysics, 33, 20-28.
58. Davis, E. T., Shikano, T., Peterson, S. A., & Keyes Michel, R. (2003). Divided attention and visual search for simple versus complex features. Vision Research, 43, 2213-2232.
59. Ding, L., & Hikosaka, O. (2006). Comparison of reward modulation in the frontal eye field and caudate of the macaque. Journal of Neuroscience, 26, 6695-6703.
60. Dorris, M. C., & Glimcher, P. W. (2004). Activity in posterior parietal cortex is correlated with the relative subjective desirability of action. Neuron, 44, 365-378.
61. Dosher, B. A., Han, S., & Lu, Z.-L. (2010). Informationlimited parallel processing in difficult heterogeneous covert visual search. Journal of Experimental Psychology: Human Perception and Performance, 36, 1128-1144.
62. Droll, J. A., Abbey, C. K., & Eckstein, M. P. (2009). Learning cue validity through performance feedback. Journal of Vision, 9(2):18, 1-23, http://www. journalofvision.org/content/9/2/18, doi:10.1167/ 9.2.18. [PubMed] [Article]
63. Droll, J. A., & Eckstein, M. P. (2008). Expected object position of two hundred fifty observers predicts first fixations of seventy seven separate observers during search [Abstract]. Journal of Vision, 8(6):320, 320a, http://www.journalofvision.org/content/8/6/320, doi:10.1167/8.6.320.
64. Druker, M., & Anderson, B. (2010). Spatial probability aids visual stimulus discrimination. Frontiers in Human Neuroscience, 4, 63.
65. Duncan, J., & Humphreys, G. W. (1989). Visual search and stimulus similarity. Psychological Review, 96, 433-458.
66. Duncan, R. O., & Boynton, G. M. (2003). Cortical magnification within human primary visual cortex correlates with acuity thresholds. Neuron, 38, 659-671.
67. Eadie, L. H., Taylor, P., & Gibson, A. P. (2011). A systematic review of computer-assisted diagnosis in diagnostic cancer imaging. European Journal of Radiology.
68. Eckstein, M. P. (1998). The lower efficiency for conjunctions is due to noise and not serial attentional processing. Psychological Science, 9, 111-118.
69. Eckstein, M. P., & Abbey, C. K. (2001). Model observers for signal-known-statistically tasks (SKS). Proceedings of the SPIE Medical Imaging, 4324, 91-102.
70. Eckstein,M. P., Beutter, B. R., Pham, B. T., Shimozaki, S. S., & Stone, L. S. (2007). Similar neural representations of the target for saccades and perception during search. Journal of Neuroscience, 27, 1266-1270.
71. Eckstein, M. P., Beutter, B. R., & Stone, L. S. (2001). Quantifying the performance limits of human saccadic targeting during visual search. Perception, 30, 1389-1401.
72. Eckstein, M. P., Drescher, B. A., & Shimozaki, S. S. (2006). Attentional cues in real scenes, saccadic targeting, and Bayesian priors. Psychological Science: A Journal of the American Psychological Society (APS), 17, 973-980.
73. Eckstein, M. P., Peterson, M. F., Pham, B. T., & Droll, J. A. (2009). Statistical decision theory to relate neurons to behavior in the study of covert visual attention. Vision Research, 49, 1097-1128.
74. Eckstein, M. P., Pham, B. T., & Shimozaki, S. S. (2004). The footprints of visual attention during search with 100% valid and 100% invalid cues. Vision Research, 44, 1193-1207.
75. Eckstein, M. P., Schoonveld, W., & Zhang, S. (2010). Optimizing eye movements in search for rewards [Abstract]. Journal of Vision, 10(7):33, 33a, http:// www.journalofvision.org/content/10/7/33, doi:10.1167/10.7.33.
76. Eckstein, M. P., Shimozaki, S. S., & Abbey, C. K. (2002). The footprints of visual attention in the Posner cueing paradigm revealed by classification images. Journal of Vision, 2(1):3, 25-45, http://www.journalofvision. org/content/2/1/3, doi:10:1167/2.1.3. [PubMed] [Article]
77. Eckstein, M. P., Thomas, J. P., Palmer, J., & Shimozaki, S. S. (2000). A signal detection model predicts the effects of set size on visual search accuracy for feature, conjunction, triple conjunction, and disjunction displays. Perception & Psychophysics, 62, 425-451.
78. Eckstein, M. P., & Whiting, J. S. (1996). Visual signal detection in structured backgrounds: I. Effect of number of possible spatial locations and signal contrast. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 13, 1777-1787.
79. Eckstein, M. P., Whiting, J. S., & Thomas, J. P. (1996). Role of knowledge in human visual temporal integration in spatiotemporal noise. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 13, 1960-1968.
80. Egner, T., Monti, J. M. P., Trittschuh, E. H., Wieneke, C. A., Hirsch, J., & Mesulam, M.-M. (2008). Neural integration of top-down spatial and feature-based information in visual search. Journal of Neuroscience, 28, 6141-6151.
81. Ehinger, K. A., & Brockmole, J. R. (2008). The role of color in visual search in real-world scenes: Evidence from contextual cuing. Perception & Psychophysics, 70, 1366-1378.
82. Ehinger, K. A., Hidalgo-Sotelo, B., Torralba, A., & Oliva, A. (2009). Modeling Search for People in 900 Scenes: A combined source model of eye guidance. Visual Cognition, 17, 945-978.
83. Eimer, M. (1996). The N2pc component as an indicator of attentional selectivity. Electroencephalography and Clinical Neurophysiology, 99, 225-234.
84. Eimer, M., Kiss, M., & Nicholas, S. (2011). What topdown task sets do for us: An ERP study on the benefits of advance preparation in visual search. Journal of Experimental Psychology: Human Perception and Performance.
85. Einhäuser, W., Rutishauser, U., & Koch, C. (2008). Task-demands can immediately reverse the effects of sensory-driven saliency in complex visual stimuli. Journal of Vision, 8(2):2, 1-19, http://www. journalofvision.org/content/8/2/2, doi:10.1167/8.2.2. [PubMed] [Article]
86. Eriksen, C. W., & Yeh, Y. Y. (1985). Allocation of attention in the visual field. Journal of Experimental Psychology: Human Perception and Performance, 11, 583-597.
87. Estes, W. D., & Taylor, H. A. (1964). A detection method and probabilistic models for assessing information processing from brief visual displays. Proceedings of the National Academy of Sciences of the United States of America, 52, 446-454.
88. Fecteau, J. H., & Munoz, D. P. (2006). Salience, relevance, and firing: A priority map for target selection. Trends in Cognitive Sciences, 10, 382-390.
89. Fenton, J. J., Abraham, L., Taplin, S. H., Geller, B. M., Carney, P. A., D'Orsi, C., et al. (2011). Effectiveness of computer-aided detection in community mammography practice. Journal of the National Cancer Institute, 103, 1152-1161.
90. Ferrera, V. P., Yanike, M., & Cassanello, C. (2009). Frontal eye field neurons signal changes in decision criteria. Nature Neuroscience, 12, 1458-1462.
91. Findlay, J. M. (1997). Saccade target selection during visual search. Vision Research, 37, 617-631.
92. Findlay, J. M., Brown, V., & Gilchrist, I. D. (2001). Saccade target selection in visual search: The effect of information from the previous fixation. Vision Research, 41, 87-95.
93. Findlay, J. M., & Gilchrist, I. D. (2003). Active vision: The psychology of looking and seeing (1st ed.). USA: Oxford University Press.
94. Findlay, J. M., & Walker, R. (1999). A model of saccade generation based on parallel processing and competitive inhibition. Behavioral and Brain Sciences, 22, 661-674; discussion 674-721.
95. Fleck, M. S., & Mitroff, S. R. (2007). Rare targets are rarely missed in correctable search. Psychological Science, 18, 943-947.
96. 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 and Performance, 18, 1030-1044.
97. Folk, C. L., Remington, R. W., & Wright, J. H. (1994). The structure of attentional control: Contingent attentional capture by apparent motion, abrupt onset, and color. Journal of Experimental Psychology: Human Perception and Performance, 20, 317-329.
98. Foulsham, T., & Underwood, G. (2008). What can saliency models predict about eye movements? Spatial and sequential aspects of fixations during encoding and recognition. Journal of Vision, 8(2):6, 1-17, http://www.journalofvision.org/content/8/2/6, doi:10.1167/8.2.6. [PubMed] [Article]
99. Gandhi, S. P., Heeger, D. J., & Boynton, G. M. (1999). Spatial attention affects brain activity in human primary visual cortex. Proceedings of the National Academy of Sciences, 96, 3314-3319.
100. Gao, D., & Vasconcelos, N. (2009). Decision-theoretic saliency: Computational principles, biological plausibility, and implications for neurophysiology and psychophysics. Neural Computation, 21, 239-271.
101. Gegenfurtner, K. R., Xing, D., Scott, B. H., & Hawken, M. J. (2003). A comparison of pursuit eye movement and perceptual performance in speed discrimination. Journal of Vision, 3(11):19, 865-876, http://www. journalofvision.org/content/3/11/19, doi:10:1167/ 3.11.19. [PubMed] [Article]
102. Geisler, W. S., & Chou, K.-L. (1995). Separation of lowlevel and high-level factors in complex tasks: Visual search. Psychological Review, 102, 356-378.
103. Geisler, W. S., & Cormack, L. (2011). Models of overt attention. In S. P. Liversedge, I. D. Gilchrist, & S. Everling (Eds.), Oxford handbook of eye movements. New York: Oxford University Press.
104. Geisler, W. S., & Davila, K. D. (1985). Ideal discriminators in spatial vision: Two-point stimuli. Journal of the Optical Society of America A, 2, 1483-1497.
105. Geng, J. J., & Behrmann, M. (2005). Spatial probability as an attentional cue in visual search. Perception & Psychophysics, 67, 1252-1268.
106. Geyer, T., Müller, H. J., & Krummenacher, J. (2008). Expectancies modulate attentional capture by salient color singletons. Vision Research, 48, 1315-1326.
107. Giesbrecht, B., Weissman, D. H., Woldorff, M. G., & Mangun, G. R. (2006). Pre-target activity in visual cortex predicts behavioral performance on spatial and feature attention tasks. Brain Research, 1080, 63-72.
108. Giesbrecht, B., Woldorff, M. G., Song, A. W., & Mangun, G. R. (2003). Neural mechanisms of top-down control during spatial and feature attention. NeuroImage, 19, 496-512.
109. Gold, J. I., & Shadlen, M. N. (2001). Neural computations that underlie decisions about sensory stimuli. Trends in Cognitive Sciences, 5, 10-16.
110. Goldberg, M. E., Bisley, J. W., Powell, K. D., & Gottlieb, J. (2006). Saccades, salience and attention: The role of the lateral intraparietal area in visual behavior. Progress in Brain Research, 155, 157-175.
111. Goldberg, M. E., Bisley, J., Powell, K. D., Gottlieb, J., & Kusunoki, M. (2002). The role of the lateral intraparietal area of the monkey in the generation of saccades and visuospatial attention. Annals of the New York Academy of Sciences, 956, 205-215.
112. Goodale, M. A., & Milner, A. D. (1992). Separate visual pathways for perception and action. Trends in Neurosciences, 15, 20-25.
113. Goodale, M. A., Milner, A. D., Jakobson, L. S., & Carey, D. P. (1991). A neurological dissociation between perceiving objects and grasping them. Nature, 349, 154-156.
114. Gottlieb, J., Kusunoki, M., & Goldberg, M. E. (1998). The representation of visual salience in monkey parietal cortex. Nature, 391, 481-484.
115. Graham, D. J., Chandler, D. M., & Field, D. J. (2006). Can the theory of "whitening" explain the center- surround properties of retinal ganglion cell receptive fields? Vision Research, 46, 2901-2913.
116. Green, D. M., & Swets, J. A. (1989). Signal detection theory and psychophysics. Los Altos, CA: Peninsula Publishing.
117. Greenberg, A. S., Esterman, M., Wilson, D., Serences, J. T., & Yantis, S. (2010). Control of spatial and feature-based attention in frontoparietal cortex. Journal of Neuroscience, 30, 14330-14339.
118. Guo, F., Das, K., Giesbrecht, B., & Eckstein, M. P. (2010). Neural correlates of visual search in natural scenes [Abstract]. Journal of Vision, 10(7):1313, 1313a, http://www.journalofvision.org/content/10/7/1313, doi:10.1167/10.7.1313.
119. Gur, D., Bandos, A. I., Fuhrman, C. R., Klym, A. H., King, J. L., & Rockette, H. E. (2007). The prevalence effect in a laboratory environment: Changing the confidence ratings. Academic Radiology, 14, 49-53.
120. Gur, D., Rockette, H. E., Armfield, D. R., Blachar, A., Bogan, J. K., Brancatelli, G., et al. (2003). Prevalence effect in a laboratory environment. Radiology, 228, 10-14.
121. Hayhoe, M., & Ballard, D. (2005). Eye movements in natural behavior. Trends in Cognitive Sciences, 9, 188-194.
122. He, P. Y., & Kowler, E. (1989). The role of location probability in the programming of saccades: Implications for "center-of-gravity" tendencies. Vision Research, 29, 1165-1181.
123. Heinze, H.-J., Luck, S. J., Munte, T. F., Gös, A., Mangun, G. R., & Hillyard, S. A. (1994). Attention to adjacent and separate positions in space: An electrophysiological analysis. Perception & Psychophysics, 56, 42-52.
124. Hickey, C., Di Lollo, V., & McDonald, J. J. (2009). Electrophysiological indices of target and distractor processing in visual search. Journal of Cognitive Neuroscience, 21, 760-775.
125. Hidalgo-Sotelo, B., Oliva, A., & Torralba, A. (2005). Human learning of contextual priors for object search: Where does the time go? In Computer Vision and Pattern Recognition Workshop (p. 86). Los Alamitos, CA: IEEE Computer Society.
126. Hikosaka, O., Nakamura, K., & Nakahara, H. (2006). Basal Ganglia orient eyes to reward. Journal of Neurophysiology, 95, 567-584.
127. Hilimire, M. R., Mounts, J. R. W., Parks, N. A., & Corballis, P. M. (2011). Dynamics of target and distractor processing in visual search: Evidence from event-related brain potentials. Neuroscience Letters, 495, 196-200.
128. Hillstrom, A. P., & Yantis, S. (1994). Visual motion and attentional capture. Perception & Psychophysics, 55, 399-411.
129. Hoffman, J. E. (1978). Search through a sequentially presented visual display. Perception & Psychophysics, 23, 1-11.
130. Hollingworth, A. (2009). Two forms of scene memory guide visual search: Memory for scene context and memory for the binding of target object to scene location. Visual Cognition, 17, 273-291.
131. Hopfinger, J. B., Buonocore, M. H., & Mangun, G. R. (2000). The neural mechanisms of top-down attentional control. Nature Neuroscience, 3, 284-291.
132. Hosoya, T., Baccus, S. A., & Meister, M. (2005). Dynamic predictive coding by the retina. Nature, 436, 71-77.
133. Ikeda, T., & Hikosaka, O. (2003). Reward-dependent gain and bias of visual responses in primate superior colliculus. Neuron, 39, 693-700.
134. Ipata, A. E., Gee, A. L., Gottlieb, J., Bisley, J. W., & Goldberg, M. E. (2006). LIP responses to a popout stimulus are reduced if it is overtly ignored. Nature Neuroscience, 9, 1071-1076.
135. Itti, L., & Baldi, P. (2009). Bayesian surprise attracts human attention. Vision Research, 49, 1295-1306.
136. Itti, L., & Koch, C. (2000). A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Research, 40, 1489-1506.
137. Itti, L., Koch, C., & Niebur, E. (1998). A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, 1254-1259.
138. Jerde, T. A., Ikkai, A., & Curtis, C. E. (2011). The search for the neural mechanisms of the set size effect. The European Journal of Neuroscience, 33, 2028-2034.
139. Jonides, J., & Yantis, S. (1988). Uniqueness of abrupt visual onset in capturing attention. Perception & Psychophysics, 43, 346-354.
140. Judy, P. F. (1995). Observer detection efficiency with target size uncertainty. Proceedings of SPIE (pp. 10- 17). Paper presented at the Medical Imaging 1995: Image Perception, San Diego, CA, USA.
141. Kastner, S., De Weerd, P., Desimone, R., & Ungerleider, L. G. (1998). Mechanisms of directed attention in the human extrastriate cortex as revealed by functional MRI. Science, 282, 108-111.
142. Kastner, S., Pinsk, M. A., De Weerd, P., Desimone, R., & Ungerleider, L. G. (1999). Increased activity in human visual cortex during directed attention in the absence of visual stimulation. Neuron, 22, 751-761.
143. Kelley, T. A., Serences, J. T., Giesbrecht, B., & Yantis, S. (2008). Cortical mechanisms for shifting and holding visuospatial attention. Cerebral Cortex, 18, 114-125.
144. Kienzle, W., Franz, M. O., Schoölkopf, B., & Wichmann, F. A. (2009). Center-surround patterns emerge as optimal predictors for human saccade targets. Journal of Vision, 9(5):7, 1-15, http://www.journalofvision. org/content/9/5/7, doi:10.1167/9.5.7. [PubMed] [Article]
145. Kinchla, R. A. (1974). Detecting target elements in multielement arrays: A confusability model. Perception & Psychophysics, 15, 149-158.
146. Kiss, M., Driver, J., & Eimer, M. (2009). Reward priority of visual target singletons modulates event-related potential signatures of attentional selection. Psychological Science, 20, 245-251.
147. Klein, R., & Farrell, M. (1989). Search performance without eye movements. Perception & Psychophysics, 46, 476-482.
148. Koch, C., & Ullman, S. (1985). Shifts in selective visual attention: Towards the underlying neural circuitry. Human Neurobiology, 4, 219-227.
149. Krauzlis, R. J., & Dill, N. (2002). Neural correlates of target choice for pursuit and saccades in the primate superior colliculus. Neuron, 35, 355-363.
150. Krauzlis, R. J., & Stone, L. S. (1999). Tracking with the mind's eye. Trends in Neurosciences, 22, 544-550.
151. Kundel, H. L., & Wright, D. J. (1969). The influence of prior knowledge on visual search strategies during the viewing of chest radiographs. Radiology, 93, 315-320.
152. Land, M. F. (1999). Motion and vision: Why animals move their eyes. Journal of Comparative Physiology A: Sensory, Neural and Behavioral Physiology, 185, 341-352.
153. Land, M. F. (2009). Vision, eye movements, and natural behavior. Visual Neuroscience, 26, 51-62.
154. Land, M. F., & Hayhoe, M. (2001). In what ways do eye movements contribute to everyday activities? Vision Research, 41, 3559-3565.
155. Land, M. F., & Nilsson, D.-E. (2002). Animal eyes. Oxford, UK: Oxford University Press.
156. Legge, G. E., Klitz, T. S., & Tjan, B. S. (1997). Mr. Chips: An ideal-observer model of reading. Psychological Review, 104, 524-553.
157. Leon, M. I., & Shadlen, M. N. (1999). Effect of expected reward magnitude on the response of neurons in the dorsolateral prefrontal cortex of the macaque. Neuron, 24, 415-425.
158. Levi, D. M., Klein, S. A., & Aitsebaomo, A. P. (1985). Vernier acuity, crowding and cortical magnification. Vision Research, 25, 963-977.
159. Li, Z. (2002). A saliency map in primary visual cortex. Trends in Cognitive Sciences, 6, 9-16.
160. Linker, E., Moore, M. E., & Galanter, E. (1964). Taste thresholds, detection models, and disparate results. Journal of Experimental Psychology, 67, 59-66.
161. Liston, D. B., & Stone, L. S. (2008). Effects of prior information and reward on oculomotor and perceptual choices. Journal of Neuroscience, 28, 13866-13875.
162. Lovejoy, L. P., & Krauzlis, R. J. (2010). Inactivation of primate superior colliculus impairs covert selection of signals for perceptual judgments. Nature Neuroscience, 13, 261-266.
163. Luck, S. J., & Hillyard, S. A. (1990). Electrophysiological evidence for parallel and serial processing during visual search. Perception & Psychophysics, 48, 603-617.
164. Luck, S. J., & Hillyard, S. A. (1994a). Spatial filtering during visual search: Evidence from human electrophysiology. Journal of Experimental Psychology: Human Perception and Performance, 20, 1000-1014.
165. Luck, S. J., & Hillyard, S. A. (1994b). Electrophysiological correlates of feature analysis during visual search. Psychophysiology, 31, 291-308.
166. 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 and Performance, 20, 887-904.
167. Ludwig, C. J. H., Eckstein, M. P., & Beutter, B. R. (2007). Limited flexibility in the filter underlying saccadic targeting. Vision Research, 47, 280-288.
168. Ludwig, C. J. H., Ranson, A., & Gilchrist, I. D. (2008). Oculomotor capture by transient events: A comparison of abrupt onsets, offsets, motion, and flicker. Journal of Vision, 8(14):11, 1-16, http://www.journalofvision. org/content/8/14/11, doi:10.1167/8.14.11. [PubMed] [Article]
169. Ma, W. J., Navalpakkam, V., Beck, J. M., van den Berg, R., & Pouget, A. (2011). Behavior and neural basis of near-optimal visual search. Nature Neuroscience, 14, 783-790.
170. Mack, S. C., & Eckstein, M. P. (2011). Object cooccurrence serves as a contextual cue to guide and facilitate visual search in a natural viewing environment. Journal of Vision, 11(9):9, http://www. journalofvision.org/content/11/9/9, doi:10.1167/ 11.9.9. [PubMed] [Article]
171. Malcolm, G. L., & Henderson, J. M. (2009). The effects of target template specificity on visual search in real-world scenes: Evidence from eye movements. Journal of Vision, 9(11):8, 1-13, http://www.journalofvision.org/ content/9/11/8, doi:10.1167/9.11.8. [PubMed] [Article]
172. Malcolm, G. L., & Henderson, J. M. (2010). Combining top-down processes to guide eye movements during real-world scene search. Journal of Vision, 10(2):4, 1-11, http://www.journalofvision.org/content/10/2/4, doi:10.1167/10.2.4. [PubMed] [Article]
173. Maljkovic, V., & Nakayama, K. (1996). Priming of popout: II. The role of position. Perception & Psychophysics, 58, 977-991.
174. Mangun, G. R., & Hillyard, S. A. (1990). Allocation of visual attention to spatial locations: Tradeoff functions for even-related brain potentials and detection performance. Perception & Psychophysics, 47, 532-550.
175. Mangun, G. R., & Hillyard, S. A. (1991). Modulations of sensory-evoked brain potentials indicate changes in perceptual processing during visual-spatial priming. Journal of Experimental Psychology: Human Perception and Performance, 17, 1057-1074.
176. Martinez, A., Anllo-Vento, L., Sereno, M. I., Frank, L. R., Buxton, R. B., Dubowitz, D. J., et al. (1999). Involvement of striate and extrastriate visual cortical areas in spatial attention. Nature Neuroscience, 2, 364-369.
177. Maunsell, J. H. R., & Cook, E. P. (2002). The role of attention in visual processing. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 357, 1063-1072.
178. Mazer, J. A., & Gallant, J. L. (2003). Goal-related activity in V4 during free viewing visual search. Evidence for a ventral stream visual salience map. Neuron, 40, 1241-1250.
179. McGowan, J. W., Kowler, E., Sharma, A., & Chubb, C. (1998). Saccadic localization of random dot targets. Vision Research, 38, 895-909.
180. McPeek, R. M., & Keller, E. L. (2002). Saccade target selection in the superior colliculus during a visual search task. Journal of Neurophysiology, 88, 2019-2034.
181. McPeek, R. M., & Keller, E. L. (2004). Deficits in saccade target selection after inactivation of superior colliculus. Nature Neuroscience, 7, 757-763.
182. Mennie, N., Hayhoe, M., & Sullivan, B. (2007). Lookahead fixations: Anticipatory eye movements in natural tasks. Experimental Brain Research. Experimentelle Hirnforschung.Expérimentation Cérébrale, 179, 427-442.
183. Miller, G. A. (1956). The magical number seven plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81-97.
184. Miller, J. (1988). Components of the location probability effect in visual search tasks. Journal of Experimental Psychology: Human Perception and Performance, 14, 453-471.
185. Miller, M. B., Handy, T. C., Cutler, J., Inati, S., & Wolford, G. L. (2001). Brain activations associated with shifts in response criterion on a recognition test. Canadian Journal of Experimental Psychology/Revue Canadienne De Psychologie Expérimentale, 55, 162-173.
186. Milner, A. D. (1997). Vision without knowledge. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 352, 1249-1256.
187. Milstein, D. M., & Dorris, M. C. (2007). The influence of expected value on saccadic preparation. Journal of Neuroscience, 27, 4810-4818.
188. Ming-Hsuan, Y., Kriegman, D. J., & Ahuja, N. (2002). Detecting faces in images: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 34-58.
189. Monosov, I. E., & Thompson, K. G. (2009). Frontal eye field activity enhances object identification during covert visual search. Journal of Neurophysiology, 102, 3656-3672.
190. Motter, B. C. (1994). Neural correlates of feature selective memory and pop-out in extrastriate area V4. Journal of Neuroscience, 14, 2190-2199.
191. Murray, R. F. (2011). Classification images: A review. Journal of Vision, 11(5):2, 1-25, http://www. journalofvision.org/content/11/5/2, doi:10.1167/11.5.2. [PubMed] [Article]
192. Nagy, A. L., Neriani, K. E., & Young, T. L. (2005). Effects of target and distractor heterogeneity on search for a color target. Vision Research, 45, 1885-1899.
193. Nagy, A. L., & Thomas, G. (2003). Distractor heterogeneity, attention, and color in visual search. Vision Research, 43, 1541-1552.
194. Najemnik, J., & Geisler, W. S. (2005). Optimal eye movement strategies in visual search. Nature, 434, 387-391.
195. Najemnik, J., & Geisler, W. S. (2008). Eye movement statistics in humans are consistent with an optimal search strategy. Journal of Vision, 8(3):4, 1-14, http://www.journalofvision.org/content/8/3/4, doi:10.1167/8.3.4. [PubMed] [Article]
196. Najemnik, J., & Geisler, W. S. (2009). Simple summation rule for optimal fixation selection in visual search. Vision Research, 49, 1286-1294.
197. Nakayama, K., & Martini, P. (2011). Situating visual search. Vision Research, 51, 1526-1537.
198. Navalpakkam, V., Koch, C., & Perona, P. (2009). Homo economicus in visual search. Journal of Vision, 9(1):31, 1-16, http://www.journalofvision.org/content/ 9/1/31, doi:10.1167/9.1.31. [PubMed] [Article]
199. Navalpakkam, V., Koch, C., Rangel, A., & Perona, P. (2010). Optimal reward harvesting in complex perceptual environments. Proceedings of the National Academy of Sciences of the United States of America, 107, 5232-5237.
200. Neider, M. B., & Zelinsky, G. J. (2006). Scene context guides eye movements during visual search. Vision Research, 46, 614-621.
201. Neisser, U. (1964). Visual search. Scientific American, 210, 94-102.
202. Oliva, A., Torralba, A., Castelhano, M. S.,&Henderson, J. M. (2003). Top-down control of visual attention in object detection. 2003 International Conference on Image Processing, 2003. ICIP 2003. Proceedings (vol. 1, pp. I-253-I-256). Paper presented at the 2003 IEEE International Conference on Image Processing.
203. Olson, I. R., & Chun, M. M. (2001). Temporal contextual cuing of visual attention. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27, 1299-1313.
204. Palmer, E. M., Fencsik,D.E., Flusberg, S. J., Horowitz, T. S., & Wolfe, J. M. (2011). Signal detection evidence for limited capacity in visual search. Attention, Perception & Psychophysics, 73, 2413-2424.
205. Palmer, J. (1994). Set-size effects in visual search: The effect of attention is independent of the stimulus for simple tasks. Vision Research, 34, 1703-1721.
206. Palmer, J., Ames, C. T., & Lindsey, D. T. (1993). Measuring the effect of attention on simple visual search. Journal of Experimental Psychology: Human Perception and Performance, 19, 108-130.
207. Palmer, J., Verghese, P., & Pavel, M. (2000). The psychophysics of visual search. Vision Research, 40, 1227-1268.
208. Parker, A. J., & Newsome, W. T. (1998). Sense and the single neuron: Probing the physiology of perception. Annual Review of Neuroscience, 21, 227-277.
209. Parkhurst, D., Law, K., & Niebur, E. (2002). Modeling the role of salience in the allocation of overt visual attention. Vision Research, 42, 107-123.
210. Peterson, M. S., & Kramer, A. F. (2001). Attentional guidance of the eyes by contextual information and abrupt onsets. Perception & Psychophysics, 63, 1239-1249.
211. Peterson, W., Birdsall, T., & Fox, W. (1954). The theory of signal detectability. IRE Professional Group on Information Theory, 4, 171-212.
212. Platt, M. L., & Glimcher, P. W. (1999). Neural correlates of decision variables in parietal cortex. Nature, 400, 233-238.
213. Põder, E. (1999). Search for feature and for relative position: Measurement of capacity limitations. Vision Research, 39, 1321-1327.
214. Pollmann, S., & Manginelli, A. A. (2009). Anterior prefrontal involvement in implicit contextual change detection. Brain Research, 1263, 87-92.
215. Pomplun, M. (2006). Saccadic selectivity in complex visual search displays. Vision Research, 46, 1886-1900.
216. Posner, M. I., Snyder, C. R., & Davidson, B. J. (1980). Attention and the detection of signals. Journal of Experimental Psychology, 109, 160-174.
217. Preston, A. R., & Gabrieli, J. D. E. (2008). Dissociation between explicit memory and configural memory in the human medial temporal lobe. Cerebral Cortex, 18, 2192-2207.
218. Ptak, R. (2011). The frontoparietal attention network of the human brain: Action, saliency, and a priority map of the environment. The Neuroscientist: A Review Journal Bringing Neurobiology, Neurology and Psychiatry.
219. Rajashekar, U., Bovik, A. C., & Cormack, L. K. (2006).Visual search in noise: Revealing the influence of structural cues by gaze-contingent classification image analysis. Journal of Vision, 6(4):7, 379-386, http://www.journalofvision.org/content/6/4/7, doi:10.1167/6.4.7. [PubMed] [Article]
220. Rao, R. P. N., Zelinsky, G. J., Hayhoe, M. M., & Ballard, D. H. (2002). Eye movements in iconic visual search. Vision Research, 42, 1447-1463.
221. Rao, V. M., Levin, D. C., Parker, L., Cavanaugh, B., Frangos, A. J., & Sunshine, J. H. (2010). How widely is computer-aided detection used in screening and diagnostic mammography? Journal of the American College of Radiology, 7, 802-805.
222. Renninger, L. W., Coughlan, J., Verghese, P., & Malik, J. (2005). An information maximization model of eye movements. Advances in Neural Information Processing Systems, 17, 1121-1128.
223. Renninger, L. W., Verghese, P., & Coughlan, J. (2007). Where to look next? Eye movements reduce local uncertainty. Journal of Vision, 7(3):6, 1-17, http:// www.journalofvision.org/content/7/3/6, doi:10.1167/ 7.3.6. [PubMed] [Article]
224. Ress, D., Backus, B. T., & Heeger, D. J. (2000). Activity in primary visual cortex predicts performance in a visual detection task. Nature Neuroscience, 3, 940-945.
225. Roesch, M. R., & Olson, C. R. (2003). Impact of expected reward on neuronal activity in prefrontal cortex, frontal and supplementary eye fields and premotor cortex. Journal of Neurophysiology, 90, 1766-1789.
226. Rolland, J. P., & Barrett, H. H. (1992). Effect of random background inhomogeneity on observer detection performance. Journal of the Optical Society of America A: Optics and Image Science, 9, 649-658.
227. Rosenholtz, R. (2001). Visual search for orientation among heterogeneous distractors: Experimental results and implications for signal-detection theory models of search. Journal of Experimental Psychology: Human Perception and Performance, 27, 985-999.
228. Rosenholtz, R., Li, Y., & Nakano, L. (2007). Measuring visual clutter. Journal of Vision, 7(2):17, 1-22, http:// www.j o urnal o fvi s ion.org/con tent / 7 / 2 /17, doi:10.1167/7.2.17. [PubMed] [Article]
229. Rovamo, J., Leinonen, L., Laurinen, P., & Virsu, V. (1984). Temporal integration and contrast sensitivity in foveal and peripheral vision. Perception, 13, 665-674.
230. Schall, J. D. (1995). Neural basis of saccade target selection. Reviews in the Neurosciences, 6, 63-85. Schall, J. D. (2004). On the role of frontal eye field in guiding attention and saccades. Vision Research, 44, 1453-1467.
231. Schall, J. D., & Hanes, D. P. (1993). Neural basis of saccade target selection in frontal eye field during visual search. Nature, 366, 467-469.
232. Schoonveld, W., Shimozaki, S. S., & Eckstein, M. P. (2007). Optimal observer model of single-fixation oddity search predicts a shallow set-size function. Journal of Vision, 7(10):1, 1-16, http://www.journalofvision. org/content/7/10/1, doi:10.1167/7.10.1. [PubMed] [Article]
233. Schreij, D., Owens, C., & Theeuwes, J. (2008). Abrupt onsets capture attention independent of top-down control settings. Perception & Psychophysics, 70, 208-218.
234. Schuboö, A.,Akyuörek, E. G., Lin, E.-J., & Vallines, I. (2011). Cortical mechanisms of visual context processing in singleton search. Neuroscience Letters, 502, 46-51.
235. Schubö, A., Wykowska, A., & Muöller, H. J. (2007). Detecting pop-out targets in contexts of varying homogeneity: Investigating homogeneity coding with event-related brain potentials (ERPs). Brain Research, 1138, 136-147.
236. Scialfa, C. T., & Joffe, K. M. (1998). Response times and eye movements in feature and conjunction search as a function of target eccentricity. Perception & Psychophysics, 60, 1067-1082.
237. Shaw, M. L. (1980). Identifying attentional and decision making components in information processing. In R. S. Nickerson (Ed.), Attention and Performance VIII (pp. 277-296). Hillsdale, NJ: Erlbaum.
238. Shaw, M. L. (1984). Division of attention among spatial locations: A fundamental difference between detection of letters and detection of luminance increments. In H. Bouma& D. Bouwhuis (Eds.), Attention and Performance X (pp. 106-121). Hillsdale, NJ: Erlbaum.
239. Shiffrin, R. M., & Schneider, W. (1984). Automatic and controlled processing revisited. Psychological Review, 91, 269-276.
240. Shimozaki, S. S., Eckstein, M. P., & Abbey, C. K. (2003a). An ideal observer with channels versus feature-independent processing of spatial frequency and orientation in visual search performance. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 20, 2197-2215.
241. Shimozaki, S. S., Eckstein, M. P., & Abbey, C. K. (2003b). Comparison of two weighted integration models for the cueing task: Linear and likelihood. Journal of Vision, 3(3):3, 209-229, http://www. journalofvision.org/content/3/3/3, doi:10:1167/3.3.3. [PubMed] [Article]
242. Shulman, G. L., Ollinger, J. M., Akbudak, E., Conturo, T. E., Snyder, A. Z., Petersen, S. E., et al. (1999). Areas involved in encoding and applying directional expectations to moving objects. Journal of Neuroscience, 19, 9480-9496.
243. Slagter, H. A., Giesbrecht, B., Kok, A., Weissman, D. H., Kenemans, J. L., Woldorff, M. G., et al. (2007). fMRI evidence for both generalized and specialized components of attentional control. Brain Research, 1177, 90-102.
244. Smith, P. L., & Ratcliff, R. (2009). An integrated theory of attention and decision making in visual signal detection. Psychological Review, 116, 283-317.
245. Snodgrass, J. G., & Townsend, J. T. (1980). Comparing parallel and serial models: Theory and implementation. Journal of Experimental Psychology: Human Perception and Performance, 6, 330-354.
246. Snyder, L. H., Batista, A. P., & Andersen, R. A. (2000). Intention-related activity in the posterior parietal cortex: A review. Vision Research, 40, 1433-1441.
247. Sohn, J.-W., & Lee, D. (2006). Effects of reward expectancy on sequential eye movements in monkeys.
248. Solomon, J. A. (2002). Noise reveals visual mechanisms of detection and discrimination. Journal of Vision, 2(1):7, 105-120, http://www.journalofvision.org/ content/2/1/7, doi:10:1167/2.1.7. [PubMed] [Article]
249. Sperling, G., & Dosher, B. A. (1986). Strategy optimization in human information processing. In K. R. Boff, L. Kaufman, & J. P. Thomas (Eds.), Handbook of perception and human performance: Volume 1. Sensory processes and perception (pp. 2-1-2-65). New York: John Wiley and Sons.
250. Srinivasan, M. V., Laughlin, S. B., & Dubs, A. (1982). Predictive coding: A fresh view of inhibition in the retina. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 216, 427-459.
251. Stanley, R. M., II. (1988). To fool a glass eye. Camouflage versus photoreconnaissance in World War II. Washington, D.C.: Smithsonian Institution Press.
252. Stone, L. S., & Krauzlis, R. J. (2003). Shared motion signals for human perceptual decisions and oculomotor actions. Journal of Vision, 3(11):7, 725-736, http://www.journalofvision.org/content/3/11/7, doi:10:1167/3.11.7. [PubMed] [Article]
253. Stritzke, M., Trommershäuser, J., & Gegenfurtner, K. R. (2009). Effects of salience and reward information during saccadic decisions under risk. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 26, B1-B13.
254. Sugrue, L. P., Corrado, G. S., & Newsome, W. T. (2004). Matching behavior and the representation of value in the parietal cortex. Science, 304, 1782-1787.
255. Swensson, R. G., & Judy, P. F. (1981). Detection of noisy visual targets: Models for the effects of spatial uncertainty and signal-to-noise ratio. Perception & Psychophysics, 29, 521-534.
256. Tanner, W. P., Jr., Swets, J. A., & Green, D. M. (1956). Some general properties of the hearing mechanism (University of Michigan: Electronic Defense Groip Technical Report).
257. Tatler, B. W. (2007). The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions. Journalof Vision, 7(14):4, 1-17, http://www.j o urnal o fvi s ion.org/con tent / 7 /14/4, doi:10.1167/7.14.4. [PubMed] [Article]
258. Tatler, B. W., Hayhoe,M. M., Land, M. F.,&Ballard, D. H. (2011). Eye guidance in natural vision: Reinterpreting salience. Journal of Vision, 11(5):5, 1-23, http:// www.j o urnal o fvi s ion.org/con tent /11/ 5 /5, doi:10.1167/11.5.5. [PubMed] [Article]
259. Tavassoli, A., Linde, I., van der Bovik, A. C., & Cormack, L. K. (2009). Eye movements selective for spatial frequency and orientation during active visual search. Vision Research, 49, 173-181.
260. Theeuwes, J. (1991). Exogenous and endogenous control of attention: The effect of visual onsets and offsets. Perception & Psychophysics, 49, 83-90.
261. Theeuwes, J., & Burger, R. (1998). Attentional control during visual search: The effect of irrelevant singletons. Journal of Experimental Psychology: Human Perception and Performance, 24, 1342-1353.
262. Thompson, K. G., & Bichot, N. P. (2005). A visual salience map in the primate frontal eye field. Progress in Brain Research, 147, 251-262.
263. Thompson, K. G., Bichot, N. P., & Schall, J. D. (1997). Dissociation of visual discrimination from saccade programming in macaque frontal eye field. Journal of Neurophysiology, 77, 1046-1050.
264. Tinbergen, L. (1960). The natural control of insects in pine woods, Vol. I: Factors influencing the intensity of predation by songbirds. Archives Neerlandaises de Zoologie, 13, 265-343.
265. Tolhurst, D. J., Movshon, J. A., & Dean, A. F. (1983). The statistical reliability of signals in single neurons in cat and monkey visual cortex. Vision Research, 23, 775-785.
266. Torralba, A., Oliva,A., Castelhano,M. S.,&Henderson, J. M. (2006). Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search. Psychological Review, 113, 766-786.
267. Toth, L. J., & Assad, J. A. (2002). Dynamic coding of behaviourally relevant stimuli in parietal cortex. Nature, 415, 165-168.
268. Townsend, J. T. (1972). Some results concerning the identifiability of parallel and serial processes. British Journal of Mathematical and Statistical Psychology, 25, 168-199.
269. Treisman, A. (1991). Search, similarity, and integration of features between and within dimensions. Journal of Experimental Psychology: Human Perception and Performance, 17, 652-676.
270. Treisman, A., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12, 97-136.
271. Treisman, A., & Gormican, S. (1988). Feature analysis in early vision: Evidence from search asymmetries. Psychological Review, 95, 15-47.
272. Treisman, A., & Sato, S. (1990). Conjunction search revisited. Journal of Experimental Psychology: Human Perception and Performance, 16, 459-478.
273. Trommershäuser, J., Glimcher, P. W., & Gegenfurtner, K. R. (2009). Visual processing, learning and feedback in the primate eye movement system. Trends in Neurosciences, 32, 583-590.
274. Turk-Browne, N. B., Scholl, B. J., Johnson, M. K., & Chun, M. M. (2010). Implicit perceptual anticipation triggered by statistical learning. Journal of Neuroscience, 30, 11177-11187.
275. Ungerleider, L. G., & Mishkin, M. (1982). Two cortical visual systems. Cambridge, MA: MIT Press.
276. Van Wert, M. J., Horowitz, T. S., & Wolfe, J. M. (2009). Even in correctable search, some types of rare targets are frequently missed. Attention, Perception & Psychophysics, 71, 541-553.
277. Verghese, P. (2001). Visual search and attention: A signal detection theory approach. Neuron, 31, 523-535.
278. Verghese, P. (2009). Contours in noise: A role for selfcuing? Journal of Vision, 9(13):2, 1-16, http://www. journalofvision.org/content/9/13/2, doi:10.1167/ 9.13.2. [PubMed] [Article]
279. Verghese, P. (2010). Search: Eye movements and mechanisms: Active search for multiple targets is inefficient [Abstract]. Journal of Vision, 10(7):1296, 1296a, http://www.journalofvision.org/content/10/7/1296, doi:10.1167/10.7.1296.
280. Verghese, P., & McKee, S. P. (2002). Predicting future motion. Journal of Vision, 2(5):5, 413-223, http:// www.journalofvision.org/content/2/5/5, doi:10.1167/ 2.5.5. [PubMed] [Article]
281. Vickery, T. J., King, L.-W., & Jiang, Y. (2005). Setting up the target template in visual search. Journal of Vision, 5(1):8, 81-92, http://www.journalofvision.org/content/ 5/1/8, doi:10:1167/5.1.8. [PubMed] [Article]
282. Vincent, B. T. (2011a). Search asymmetries: Parallel processing of uncertain sensory information. Vision Research, 51, 1741-1750.
283. Vincent, B. T. (2011b). Covert visual search: Prior beliefs are optimally combined with sensory evidence. Journal of Vision, 11(13):25, 1-15, http://www. journalofvision.org/content/11/13/25, doi:10.1167/ 11.13.25. [PubMed] [Article]
284. Vincent, B. T., Baddeley, R. J., Troscianko, T.,&Gilchrist, I. D. (2009). Optimal feature integration in visual search. Journal of Vision, 9(5):15, 1-11, http:// www.journalofvision.org/content/9/5/15, doi:10.1167/ 9.5.15. [PubMed] [Article]
285. Vlaskamp, B. N. S., & Hooge, I. T. C. (2006). Crowding degrades saccadic search performance. Vision Research, 46, 417-425.
286. Vlaskamp, B. N. S., Over, E. A. B., & Hooge, I. T. C. (2005). Saccadic search performance: The effect of element spacing. Experimental Brain Research. Experimentelle Hirnforschung. Expérimentation Cérébrale, 167, 246-259.
287. Voorhis, S., & Hillyard, S. A. (1977). Visual evoked potentials and selective attention to points in space. Perception & Psychophysics, 22, 54-62.
288. Walthew, C., & Gilchrist, I. D. (2006). Target location probability effects in visual search: An effect of sequential dependencies. Journal of Experimental Psychology: Human Perception and Performance, 32, 1294-1301.
289. Wardak, C., Olivier, E., & Duhamel, J.-R. (2004). A deficit in covert attention after parietal cortex inactivation in the monkey. Neuron, 42, 501-508.
290. Wertheim, T. (1894). über die indirekte Sehschärfe. Zeitschrift fuör Psychologie und Physiologie der Sinnesorgane, 7, 172-187.
291. Williams, L. G. (1966). Target conspicuity and visual search. Human Factors, 8, 80-92.
292. Williams, L. G. (1967). The effects of target specification on objects fixated during visual search. Acta Psychologica, 27, 355-360.
293. Wolfe, J. M. (1994). Guided Search 2.0 A revised model of visual search. Psychonomic Bulletin & Review, 1, 202-238.
294. Wolfe, J. M. (1998). Visual search. Attention. London UK: University College London Press.
295. Wolfe, J. M. (2007). Guided search 4.0: Current progress with a model of visual search. Integrated Models of Cognitive Systems, 25, 1-57.
296. 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.
297. Wolfe, J. M., Horowitz, T. S., & Kenner, N. M. (2005). Cognitive psychology: Rare items often missed in visual searches. Nature, 435, 439-440.
298. Wolfe, J. M., Horowitz, T. S., Kenner, N., Hyle, M., & Vasan, N. (2004). How fast can you change your mind? The speed of top-down guidance in visual search. Vision Research, 44, 1411-1426.
299. Wolfe, J. M., & Van Wert, M. J. (2010). Varying target prevalence reveals two dissociable decision criteria in visual search. Current Biology, 20, 121-124.
300. Yang, G.,& Huang, T. S. (1994). Human face detection in a complex background. Pattern Recognition, 27, 53-63.
301. Yantis, S., & Jones, E. (1991). Mechanisms of attentional selection: Temporally modulated priority tags. Perception & Psychophysics, 50, 166-178.
302. Yantis, S., & Jonides, J. (1990). Abrupt visual onsets and selective attention: Voluntary versus automatic allocation. Journal of Experimental Psychology: Human Perception and Performance, 16, 121-134.
303. Yantis, S., Schwarzbach, J., Serences, J. T., Carlson, R. L., Steinmetz, M. A., Pekar, J. J., et al. (2002). Transient neural activity in human parietal cortex during spatial attention shifts. Nature Neuroscience, 5, 995-1002.
304. Zelinsky, G. J. (2008). A theory of eye movements during target acquisition. Psychological Review, 115, 787-835.
305. Zelinsky, G. J., & Sheinberg, D. L. (1997). Eye movements during parallel-serial visual search. Journal of Experimental Psychology: Human Perception and Performance, 23, 244-262.
306. Zhang, L., Tong, M. H., Marks, T. K., Shan, H., & Cottrell, G. W. (2008). SUN: A Bayesian framework for saliency using natural statistics. Journal of Vision, 8(7):32, 1-20, http://www.journalofvision.org/ content/8/7/32, doi:10.1167/8.7.32. [PubMed] [Article]
307. Zhang, S., Abbey, C. K., & Eckstein, M. P. (2009). Virtual evolution for visual search in natural images results in behavioral receptive fields with inhibitory surrounds. Visual Neuroscience, 26, 93-108.
308. Zhang, S., & Eckstein, M. P. (2010). Evolution and optimality of similar neural mechanisms for perception and action during search. PLoS Computational Biology, 6, e1000930.
309. Zhang, Y., Abbey, C. K., & Eckstein, M. P. (2006). Adaptive detection mechanisms in globally statistically nonstationary-oriented noise. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 23, 1549-1558.
310. Zhang, Y., Pham, B., & Eckstein, M. P. (2004). Evaluation of JPEG 2000 encoder options: Human and model observer detection of variable signals in X-ray coronary angiograms. IEEE Transactions on Medical Imaging, 23, 613-632.
311. Atick, J. J., & Redlich, A. N. (1992). What does the retina know about natural scenes?.Neural Computation, 4, 196-210.
312. Wolfe, J. M. (2001). Asymmetries in visual search: An introduction. Perception & Psychophysics, 63, 381-389.
313. Lau, B., & Glimcher, P. W. (2007). Action and outcome encoding in the primate caudate nucleus. Journal of Neuroscience, 27, 14502-14514.
314. Jiang, Y., & Wagner, L. C. (2004). What is learned in spatial contextual cuing-configuration or individual locations?Perception & Psychophysics, 66, 454-463.
315. Husain, M., & Nachev, P. (2007). Space and the parietal cortex. Trends in Cognitive Sciences, 11, 30-36.
316. Navalpakkam, V., & Itti, L. (2007). Search goal tunes visual features optimally. Neuron, 53, 605-617.
317. Rich, A. N., Kunar, M. A., Van Wert, M. J., Hidalgo- Sotelo, B., Horowitz, T. S., & Wolfe, J. M. (2008). Why do we miss rare targets? Exploring the boundaries of the low prevalence effect. Journal of Vision,8(15):15, 1-17, http://www.journalofvision.org/content/ 8/15/15, doi:10.1167/8.15.15. [PubMed] [Article]
318. Shiffrin, R. M., & Gardner, G. T. (1972). Visual processing capacity and attentional control. Journal of Experimental Psychology, 93, 72-82.
319. Schubö, A., Schroöger, E., Meinecke, C., & Muöller, H. J. (2007). Attentional resources and pop-out detection in search displays. Neuroreport, 18, 1589-1593.
320. Schall, J. D. (2004). On the role of frontal eye field in guiding attention and saccades. Vision Research, 44, 1453-1467.
321. Schacter, D., & Tulving, E. (1994). Memory systems. Cambridge, MA: MIT Press.