Top-down versus bottom-up attentional control: A failed theoretical dichotomy

Trends in Cognitive Sciences

Volumn 16, Issue 8, 2012, Pages 437-443

  Awh, Edward ^a   Belopolsky, Artem V ^b   Theeuwes, Jan ^b  

^a UNIVERSITY OF OREGON   (United States)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE FRAMEWORK; SELECTION BIAS; TOPDOWN;

COGNITIVE SYSTEMS;

MODELS;

ATTENTION; BRAIN FUNCTION; COGNITION; HUMAN; NERVE STIMULATION; REVIEW; REWARD; THEORY;

ATTENTION; DISCRIMINATION (PSYCHOLOGY); HUMANS; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; PSYCHOLOGICAL THEORY;

EID: 84864034017     PISSN: 13646613     EISSN: 1879307X     Source Type: Journal    
DOI: 10.1016/j.tics.2012.06.010     Document Type: Review

References (82)

1. Posner M.I. Orienting of attention. Q. J. Exp. Psychol. 1980, 32:3-25.
2. Jonides J. Voluntary versus automatic control over the mind's eye's movement. Attention and Performance IX 1981, 187-203. Lawrence Erlbaum Associates. J.B. Long, A.D. Baddeley (Eds.).
3. Posner M.I., Petersen S.E. The attention system of the human brain. Annu. Rev. Neurosci. 1990, 13:25-42.
4. Folk C.L., et al. Involuntary covert orienting is contingent on attentional control settings. J. Exp. Psychol. Hum. Percept. Perform. 1992, 18:1030-1044.
5. Wolfe J.M., et al. Guided search: an alternative to the feature integration model for visual search. J. Exp. Psychol. Hum. Percept. Perform. 1989, 15:419-433.
6. Desimone R., Duncan J. Neural mechanisms of selective visual attention. Annu. Rev. Neurosci. 1995, 18:193-222.
7. Egeth H.E., Yantis S. Visual attention: control, representation, and time course. Annu. Rev. Psychol. 1997, 48:269-297.
8. Itti L., Koch C. A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Res. 2000, 40:1489-1506.
9. Kastner S., Ungerleider L.G. Mechanisms of visual attention in the human cortex. Annu. Rev. Neurosci. 2000, 23:315-341.
10. Corbetta M., Shulman G.L. Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 2002, 3:201-215.
11. Eriksen C., Hoffman J. The extent of processing of noise elements during selective encoding from visual displays. Atten. Percept. Psychophys. 1973, 14:155-160.
12. Wolfe J.M., et al. Changing your mind: on the contributions of top-down and bottom-up guidance in visual search for feature singletons. J. Exp. Psychol. Hum. Percept. Perform. 2003, 29:483-502.
13. Found A., Müller H. Searching for unknown feature targets on more than one dimension: Investigating a 'dimension-weighting' account. Atten. Percept. Psychophys. 1996, 58:88-101.
14. Bundesen C. A theory of visual attention. Psychol. Rev. 1990, 97:523-547.
15. Serences J.T., Boynton G.M. Feature-based attentional modulations in the absence of direct visual stimulation. Neuron 2007, 55:301-312.
16. Duncan J., Humphreys G.W. Visual search and stimulus similarity. Psychol. Rev. 1989, 96:433-458.
17. Maljkovic V., Nakayama K. Priming of pop-out: I. Role of features. Mem. Cogn. 1994, 22:657-672.
18. Eimer M., et al. Priming of pop-out modulates attentional target selection in visual search: behavioural and electrophysiological evidence. Vision Res. 2010, 50:1353-1361.
19. Kristjansson A., Campana G. Where perception meets memory: a review of repetition priming in visual search tasks. Atten. Percept. Psychophys. 2010, 72:5-18.
20. Brascamp J.W., et al. Deciding where to attend: priming of pop-out drives target selection. J. Exp. Psychol. Hum. Percept. Perform. 2011, 37:1700-1707.
21. Theeuwes J., Van der Burg E. On the limits of top-down control of visual selection. Atten. Percept. Psychophys. 2011, 73:2092-2103.
22. Hillstrom A.P. Repetition effects in visual search. Percept. Psychophys. 2000, 62:800-817.
23. Kristjansson A., et al. The role of priming in conjunctive visual search. Cognition 2002, 85:37-52.
24. Maljkovic V., Nakayama K. Priming of pop-out: II. The role of position. Percept. Psychophys. 1996, 58:977-991.
25. Wang D., et al. Efficient visual search without top-down or bottom-up guidance. Atten. Percept. Psychophys. 2005, 67:239-253.
26. Van der Stigchel S., et al. The limits of top-down control of visual attention. Acta Psychol. (Amst.) 2009, 132:201-212.
27. Theeuwes J., Van der Burg E. The role of spatial and nonspatial information in visual selection. J. Exp. Psychol. Hum. Percept. Perform. 2007, 33:1335-1351.
28. Zhang W., Luck S.J. Feature-based attention modulates feedforward visual processing. Nat. Neurosci. 2009, 12:24-25.
29. Saenz M., et al. Global effects of feature-based attention in human visual cortex. Nat. Neurosci. 2002, 5:631-632.
30. Theeuwes J., et al. Visual search for featural singletons: No top-down modulation, only bottom-up priming. Vis. Cogn. 2006, 14:466-489.
31. Leonard C.J., Egeth H.E. Attentional guidance in singleton search: An examination of top-down, bottom-up, and intertrial factors. Vis. Cogn. 2008, 16:1078-1091.
32. Thorndike E.L. Animal Intelligence 1911, Macmillan.
33. Shuler M.G., Bear M.F. Reward timing in the primary visual cortex. Science 2006, 311:1606-1609.
34. Della Libera C., Chelazzi L. Learning to attend and to ignore is a matter of gains and losses. Psychol. Sci. 2009, 20:778-784.
35. Della Libera C., Chelazzi L. Visual selective attention and the effects of monetary rewards. Psychol. Sci. 2006, 17:222-227.
36. Dayan P., Balleine B.W. Reward, motivation, and reinforcement learning. Neuron 2002, 36:285-298.
37. Seitz A.R., et al. Rewards evoke learning of unconsciously processed visual stimuli in adult humans. Neuron 2009, 61:700-707.
38. Raymond J.E., O'Brien J.L. Selective visual attention and motivation: the consequences of value learning in an attentional blink task. Psychol. Sci. 2009, 20:981-988.
39. Ikeda T., Hikosaka O. Reward-dependent gain and bias of visual responses in primate superior colliculus. Neuron 2003, 39:693-700.
40. Kiss M., et al. Reward priority of visual target singletons modulates event-related potential signatures of attentional selection. Psychol. Sci. 2009, 20:245-251.
41. Peck C.J., et al. Reward modulates attention independently of action value in posterior parietal cortex. J. Neurosci. 2009, 29:11182-11191.
42. Small D.M., et al. Monetary incentives enhance processing in brain regions mediating top-down control of attention. Cereb. Cortex 2005, 15:1855-1865.
43. Kristjánsson Á., et al. Fortune and reversals of fortune in visual search: reward contingencies for pop-out targets affect search efficiency and target repetition effects. Atten. Percept. Psychophys. 2010, 72:1229-1236.
44. Navalpakkam V., et al. Optimal reward harvesting in complex perceptual environments. Proc. Natl. Acad. Sci. U.S.A. 2010, 107:5232-5237.
45. Maunsell J.H. Neuronal representations of cognitive state: reward or attention?. Trends Cogn. Sci. 2004, 8:261-265.
46. Colby C.L., Goldberg M.E. Space and attention in parietal cortex. Annu. Rev. Neurosci. 1999, 22:319-349.
47. Bisley J.W. The neural basis of visual attention. J. Physiol. 2011, 589:49-57.
48. Bisley J.W., Goldberg M.E. Attention, intention, and priority in the parietal lobe. Annu. Rev. Neurosci. 2010, 33:1-21.
49. Goldberg M.E., et al. Saccades, salience and attention: the role of the lateral intraparietal area in visual behavior. Prog. Brain Res. 2006, 155:157-175.
50. Gottlieb J.P., et al. The representation of visual salience in monkey parietal cortex. Nature 1998, 391:481-484.
51. Dorris M.C., Glimcher P.W. Activity in posterior parietal cortex is correlated with the relative subjective desirability of action. Neuron 2004, 44:365-378.
52. Louie K., et al. Reward value-based gain control: divisive normalization in parietal cortex. J. Neurosci. 2011, 31:10627-10639.
53. Sugrue L.P., et al. Matching behavior and the representation of value in the parietal cortex. Science 2004, 304:1782-1787.
54. Nakayama K., Martini P. Situating visual search. Vision Res. 2011, 51:1526-1537.
55. Pessoa L., Engelmann J.B. Embedding reward signals into perception and cognition. Front. Neurosci. 2010, 4. 17.
56. Hickey C., et al. Reward changes salience in human vision via the anterior cingulate. J. Neurosci. 2010, 30:11096-11103.
57. Hickey C., et al. Reward guides vision when it's your thing: trait reward-seeking in reward-mediated visual priming. PLoS ONE 2010, 5:e14087.
58. Anderson B.A., et al. Learned value magnifies salience-based attentional capture. PLoS ONE 2011, 6:e27926.
59. Anderson B.A., et al. Value-driven attentional capture. Proc. Natl. Acad. Sci. U.S.A. 2011, 108:10367-10371.
60. Theeuwes J. Top-down and bottom-up control of visual selection. Acta Psychol. (Amst.) 2010, 135:77-99.
61. Awh E., et al. Resolving visual interference during covert spatial orienting: online attentional control through static records of prior visual experience. J. Exp. Psychol. Gen. 2005, 134:192-206.
62. Chun M.M., Jiang Y. Contextual cueing: implicit learning and memory of visual context guides spatial attention. Cogn. Psychol. 1998, 36:28-71.
63. Crump M.J., et al. Context-specific learning and control: the roles of awareness, task relevance, and relative salience. Conscious. Cogn. 2008, 17:22-36.
64. Umemoto A., et al. Statistical learning induces discrete shifts in the allocation of working memory resources. J. Exp. Psychol. Hum. Percept. Perform. 2010, 36:1419-1429.
65. Itti L., Koch C. Computational modelling of visual attention. Nat. Rev. Neurosci. 2001, 2:194-203.
66. Fecteau J.H., Munoz D.P. Salience, relevance, and firing: a priority map for target selection. Trends Cogn. Sci. 2006, 10:382-390.
67. Logan G.D. An instance theory of attention and memory. Psychol. Rev. 2002, 109:376-400.
68. Logan G.D. Toward an instance theory of automatization. Psychol. Rev. 1988, 95:492-527.
69. Nothdurft H.C. Saliency effects across dimensions in visual search. Vision Res. 1993, 33:839-844.
70. Anderson A.K., Phelps E.A. Lesions of the human amygdala impair enhanced perception of emotionally salient events. Nature 2001, 411:305-309.
71. Most S.B., Wang L. Dissociating spatial attention and awareness in emotion-induced blindness. Psychol. Sci. 2011, 22:300-305.
72. Williams M., et al. Look at me, I'm smiling: Visual search for threatening and nonthreatening facial expressions. Vis. cogn. 2005, 12:29-50.
73. Hodsoll S., et al. Attentional capture by irrelevant emotional distractor faces. Emotion 2011, 11:346-353.
74. Jiang Y., et al. A gender- and sexual orientation-dependent spatial attentional effect of invisible images. Proc. Natl. Acad. Sci. U.S.A. 2006, 103:17048-17052.
75. Chapman B., Stryker M.P. Development of orientation selectivity in ferret visual cortex and effects of deprivation. J. Neurosci. 1993, 13:5251-5262.
76. Muller H.J., et al. Attentional capture by salient color singleton distractors is modulated by top-down dimensional set. J. Exp. Psychol. Hum. Percept. Perform. 2009, 35:1-16.
77. Geyer T., et al. Expectancies modulate attentional capture by salient color singletons. Vision Res. 2008, 48:1315-1326.
78. Anderson B.A., Folk C.L. Variations in the magnitude of attentional capture: testing a two-process model. Atten. Percept. Psychophys. 2010, 72:342-352.
79. Eimer M., Kiss M. Involuntary attentional capture is determined by task set: evidence from event-related brain potentials. J. Cogn. Neurosci. 2008, 20:1423-1433.
80. Belopolsky A.V., et al. What is top-down about contingent capture?. Atten. Percept. Psychophys. 2010, 72:326-341.
81. Rossi A.F., et al. Top down attentional deficits in macaques with lesions of lateral prefrontal cortex. J. Neurosci. 2007, 27:11306-11314.
82. Theeuwes J. Exogenous and endogenous control of attention: the effect of visual onsets and offsets. Percept. Psychophys. 1991, 49:83-90.