Enhancing visual working memory encoding: The role of target novelty

Visual Cognition

Volumn 19, Issue 7, 2011, Pages 863-885

  Mayer, Jutta S ^a   Kim, Jejoong ^b   Park, Sohee ^a  

^a VANDERBILT UNIVERSITY   (United States)

^b Seoul National University   (South Korea)

Author keywords

Attention; Encoding; Novelty; Salience; Spatial working memory

Indexed keywords

ACCURACY; ADULT; ARTICLE; CONTROLLED STUDY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; PERCEPTION; PERFORMANCE; PRIORITY JOURNAL; REACTION TIME; SPATIAL MEMORY; STIMULUS; VISUAL MEMORY; WORKING MEMORY;

EID: 80052157241     PISSN: 13506285     EISSN: 14640716     Source Type: Journal    
DOI: 10.1080/13506285.2011.594459     Document Type: Article

References (80)

1. Alvarez, G. A., & Cavanagh, P. (2004). The capacity of visual short-term memory is set both by visual information load and by number of objects. Psychological Science, 15, 106-111.
2. Anderson, D. E., Vogel, E. K., & Awh, E. (2011). Precision in visual working memory reaches a stable plateau when individual item limits are exceeded. Journal of Neuroscience, 31, 1128-1138.
3. Awh, E., & Jonides, J. (2001). Overlapping mechanisms of attention and spatial working memory. Trends in Cognitive Science, 5, 119-126.
4. Awh, E., Jonides, J., & Reuter-Lorenz, P. A. (1998). Rehearsal in spatial working memory. Journal of Experimental Psychology: Human Perception and Performance, 24, 780-790.
5. Awh, E., Vogel, E. K., & Oh, S. H. (2006). Interactions between attention and working memory. Neuroscience, 139, 201-208.
6. Bacon, W. F., & Egeth, H. E. (1994). Overriding stimulus-driven attentional capture. Perception and Psychophysics, 55, 485-496.
7. Bays, P. M., Catalao, R. F. G., & Husain, M. (2009). The precision of visual working memory is set by allocation of a shared resource. Journal of Vision, 7, 1-11.
8. Bays, P. M., & Husain, M. (2008). Dynamic shifts of limited working memory resources in human vision. Science, 321, 851-854.
9. Brainard, D. H. (1997). The psychophysics toolbox. Spatial Vision, 10, 443-446.
10. Bundesen, C. (1990). A theory of visual attention. Psychological Review, 97, 523-547.
11. Chen, D., Eng, H. Y., & Jiang, Y. (2006). Visual working memory for trained and novel polygons. Visual Cognition, 14, 37-54.
12. Corbetta, M., Kincade, J. M., & Shulman, G. L. (2002). Neural systems for visual orienting and their relationships to spatial working memory. Journal of Cognitive Neuroscience, 14, 508-523.
13. Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 3, 201-215.
14. Courtney, S. M. (2004). Attention and cognitive control as emergent properties of information representation in working memory. Cognitive, Affective, and Behavioral Neuroscience, 4, 501-516.
15. Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24, 87-114.
16. Cowan, N., & Morey, C. C. (2007). How can dual-task working memory retention limits be investigated? Psychological Science, 18, 686-688.
17. Curby, K. M., & Gauthier, I. (2007). A visual short-term memory advantage for faces. Psychonomic Bulletin and Review, 14, 620-628.
18. Curby, K. M., Glazek, K., & Gauthier, I. (2009). A visual short-term memory advantage for objects of expertise. Journal of Experimental Psychology: Human Perception and Performance, 35, 94-107.
19. Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review Neuroscience, 18, 193-222.
20. Duncan, J., & Humphreys, G. W. (1989). Visual search and stimulus similarity. Psychological Review, 96, 433-458.
21. Egeth, H. E., & Yantis, S. (1997). Visual attention: Control, representation, and time course. Annual Reviews Psychology, 48, 269-297.
22. Fantz, R. L. (1964). Visual experience in infants: Decreased attention to familiar patterns relative to novel ones. Science, 146, 668-670.
23. Fine, M. S., & Minnery, B. S. (2009). Visual salience affects performance in a working memory task. Journal of Neuroscience, 29, 8016-8021.
24. 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.
25. Frith, U. (1974). A curious effect with reversed letters explained by a theory of schema. Perception and Psychophysics, 16, 113-116.
26. Fukuda, K., Vogel, E., Mayr, U., & Awh, E. (2010). Quantity, not quality: The relationship between fluid intelligence and working memory capacity. Psychonomic Bulletin and Review, 17, 673-679.
27. Gao, D., & Vasconcelos, N. (2005). Discriminant saliency for visual recognition from cluttered scenes. In L. K. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in neural information processing systems (Vol. 17, pp. 481-488). Cambridge, MA: MIT Press.
28. Goldman-Rakic, P. S. (1987). Circuitry of the prefrontal cortex and the regulation of behavior by representational memory. In V. B. Mountcastle (Ed.), Handbook of neurobiology (pp. 373-417). Bethesda, MD: American Physiological Society.
29. Gordon, R. D. (2004). Attentional allocation during the perception of scenes. Journal of Experimental Psychology: Human Perception and Performance, 30, 760-777.
30. Itti, L., & Koch, C. (2001). Computational modeling of visual attention. Nature Reviews Neuroscience, 2, 194-203.
31. Jackson, M. C., & Raymond, J. E. (2008). Familiarity enhances visual working memory for faces. Journal of Experimental Psychology: Human Perception and Performance, 34, 556-568.
32. Jiang, Y., Castello, P., & He, S. (2007). Processing of invisible stimuli. Psychological Science, 18, 349-355.
33. Jolicœur, P., & Dell'Acqua, R. (1998). The demonstration of short-term consolidation. Cognitive Psychology, 36, 138-202.
34. Jolicœur, P., & Dell'Acqua, R. (1999). Attentional and structural constraints on visual encoding. Psychological Research, 62, 154-164.
35. Kuehn, S. M., & Jolicœur, P. (1994). Impact of quality of the image, orientation, and similarity of the stimuli on visual search for faces. Perception, 23, 95-122.
36. Lepsien, J., & Nobre, A. C. (2007). Attentional modulation of object representations in working memory. Cerebral Cortex, 17(9), 2072-2083.
37. Luck, S. J., & Vogel, E. K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390, 279-281.
38. Ma, W. J., & Huang, W. (2009). No capacity limit in attentional tracking: Evidence for probabilistic inference under a resource constraint. Journal of Vision, 9, 1-30.
39. Mayer, J. S., Bittner, R., Nikolić, D., Bledowski, C., Goebel, R., & Linden, D. E. J. (2007). Common neural substrates for visual working memory and attention. Neuroimage, 36, 441-453.
40. Miller, E. K., & Desimone, R. (1994). Parallel neuronal mechanisms for short-term memory. Science, 263, 520-522.
41. Munk, M. H., Linden, D. E., Muckli, L., Lanfermann, H., Zanella, F. E., Singer, W., et al. (2002). Distributed cortical systems in visual short-term memory revealed by event-related functional magnetic resonance imaging. Cerebral Cortex, 12, 866-876.
42. Nobre, A. C., Coull, J. T., Maquet, P., Frith, C. D., Vandenberghe, R., & Mesulam, M. M. (2004). Orienting attention to locations in perceptual versus mental representations. Journal of Cognitive Neuroscience, 16, 363-373.
43. Nothdurft, H. C. (1993a). Saliency effects across dimensions in visual search. Vision Research, 33(5-6),839-844.
44. Nothdurft, H. C. (1993b). Faces and facial expressions do not pop out. Perception, 22, 1287-1298.
45. Oh, S. H., & Kim, M. S. (2004). The role of spatial working memory in visual search efficiency. Psychonomic Bulletin and Review, 11, 275-281.
46. Olson, I., & Jiang, Y. (2004). Visual short-term memory is not improved by training. Memory and Cognition, 32, 1326-1332.
47. Pashler, H. (1988). Familiarity and visual change detection. Perception and Psychophysics, 44, 369-378.
48. Pashler, H. (1994). Divided attention: Storing and classifying briefly presented objects. Psychonomic Bulletin and Review, 1, 115-118.
49. Pelli, D. G. (1997). The video toolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437-442.
50. Phillips, W. A. (1974). On the distinction between sensory storage and short-term visual memory. Perception and Psychophysics, 16, 283-290.
51. Posner, M. I. (1980). Orienting of attention, the VIIth Sir Frederic Bartlett lecture. Quarterly Journal of Experimental Psychology, 32, 3-25.
52. Posner, M. I., Snyder, C. R. R., & Davidson, B. J. (1980). Attention and the detection of signals. Journal of Experimental Psychology, 109, 160-174.
53. Purcell, D. G., & Stewart, A. L. (1986). The face detection effect. Bulletin of the Psychonomic Society, 24, 118-120.
54. Ranganath, C., & Rainer, G. (2003). Neural mechanisms for detecting and remembering novel events. Nature Reviews Neuroscience, 4, 193-202.
55. Reicher, G. M., Snyder, C. R. R., & Richards, J. T. (1976). Familiarity of background characters in visual scanning. Journal of Experimental Psychology: Human Perception and Performance, 2,522-530.
56. Richards, J. T., & Reicher, G. M. (1978). The effect of background familiarity in visual search: An analysis of underlying factors. Perception and Psychophysics, 23, 499-505.
57. Schmidt, B. K., Vogel, E. K., Woodman, G. F., & Luck, S. J. (2002). Voluntary and automatic attentional control of visual working memory. Perception and Psychophysics, 64, 754-763.
58. Scolari, M., Vogel, E. K., & Awh, E. (2008). Perceptual expertise enhances the resolution but not the number of representations in working memory. Psychonomic Bulletin and Review, 15, 215-222.
59. Shen, J., & Reingold, E. M (2001). Visual search asymmetry: The influence of stimulus familiarity and low-level features. Perception and Psychophysics, 63(3), 464-475.
60. Shomstein, S., & Behrmann, M. (2006). Cortical systems mediating visual attention to both objects and spatial locations. Proceedings of the National Academy of Sciences, 103, 11387-11392.
61. Smith, E. E., Jonides, J., Koeppe, R. A., Awh, E., Schumacher, E. H., & Minoshima, S. (1995). Spatial versus object working memory: PET investigations. Journal of Cognitive Neuroscience, 7, 337-356.
62. Sokolov, E. N. (1963). Perception and the conditioned reflex. Oxford, UK: Pergamon Press.
63. Sperling, G. (1960). The information available in brief visual presentations. Psychological Monographs: General and Applied, 74, 1-29.
64. Stirk, J. A., & Underwood, G. (2007). Low-level visual saliency does not predict change detection in natural scenes. Journal of Vision, 7(10), 1-10.
65. Sun, J. Y., & Perona, P. (1996). Preattentive perception of elementary three-dimensional shapes. Vision Research, 36, 2515-2529.
66. Theeuwes, J., Kramer, A. F., & Irwin, D. E. (2011). Attention on our mind: The role of spatial attention in visual working memory. Acta Psychologica, 137(2), 248-251.
67. Todd, J. J., & Marois, R. (2004). Capacity limit of visual short-term memory in human posterior parietal cortex. Nature, 428, 751-754.
68. Tomonaga, M. (2007). Visual search for orientation of faces by a chimpanzee (Pan troglodytes): Face-specific upright superiority and the role of facial configural properties. Primates, 48, 1-12.
69. Tong, F., & Nakayama, K. (1999). Robust representations for faces: Evidence from visual search. Journal of Experimental Psychology: Human Perception and Performance, 25, 1016-1035.
70. Treisman, A., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12, 97-136.
71. Treisman, A., & Gormican, S. (1988). Feature analysis in early vision: Evidence from search asymmetries. Psychological Review, 1, 15-48.
72. Vogel, E. K., Luck, S. J., & Shapiro, K. L. (1998). Electrophysiological evidence for a postperceptual locus of suppression during the attentional blink. Journal of Experimental Psychology: Human Perception and Performance, 24(6), 1656-1674.
73. Vogel, E. K., McCollough, A. W., & Machizawa, M. G. (2005). Neural measures reveal individual differences in controlling access to working memory. Nature, 438, 500-503.
74. Wager, T. D., & Smith, E. E. (2003). Neuroimaging studies of working memory: A meta- analysis. Cognitive, Affective, and Behavioral Neuroscience, 3, 255-274.
75. Wang, Q., Cavanagh, P., & Green, M. (1994). Familiarity and pop-out in visual search. Perception and Psychophysics, 56, 495-500.
76. Wang, L., Zhang, K., He, S., & Jiang, Y. (2010). Searching for life motion signals: Visual search asymmetry in local but not global biological-motion processing. Psychological Science, 21, 1083-1089.
77. Wolfe, J. M. (2001). Asymmetries in visual search: An introduction. Perception and Psychophysics, 63(3), 381-389.
78. 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.
79. Woodman, G. F., & Luck, S. J. (2004). Visual search is slowed when visuospatial working memory is occupied. Psychonomic Bulletin and Review, 11, 269-274.
80. Yantis, S., & Serences, J. T. (2003). Cortical mechanisms of space-based and object-based attentional control. Current Opinion in Neurobiology, 13, 187-193.