Training top-down attention improves performance on a triple-conjunction search task

PLoS ONE

Volumn 5, Issue 2, 2010, Pages

  Baluch, Farhan ^a   Itti, Laurent ^a,b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b University of Southern California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BEHAVIOR; COGNITION; COLOR VISION; CONTROLLED STUDY; DEPTH PERCEPTION; FEMALE; GAZE; HUMAN; MALE; PERCEPTION; SACCADIC EYE MOVEMENT; TASK PERFORMANCE; TRAINING; VISION; VISUAL STIMULATION; ALGORITHM; ANALYSIS OF VARIANCE; ATTENTION; CLINICAL TRIAL; PATTERN RECOGNITION; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE; REACTION TIME; STATISTICAL MODEL;

ADULT; ALGORITHMS; ANALYSIS OF VARIANCE; ATTENTION; COLOR PERCEPTION; FEMALE; HUMANS; LOGISTIC MODELS; MALE; PATTERN RECOGNITION, VISUAL; PSYCHOMOTOR PERFORMANCE; REACTION TIME; SACCADES; VISUAL PERCEPTION; YOUNG ADULT;

EID: 77949529291     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0009127     Document Type: Article

References (49)

1. Kellman P, Garrigan P (2009) Perceptual learning and human expertise. Physics of Life Reviews 6: 53-84.
2. Lesgold A, Rubinson H, Feltovich P, Glaser R, Klopfer D, et al. (1988) Expertise in a complex skill: Diagnosing x-ray pictures. The nature of expertise. pp 311-342.
3. McCarley J, Kramer A, Wickens C, Vidoni E, Boot W (2004) Visual skills in airport-security screening. Psychological Science 15: 302-306.
4. Bellenkes AH, Wickens CD, Kramer AF (1997) Visual scanning and pilot expertise: the role of attentional flexibility and mental model development. Aviat Space Environ Med 68: 569-79.
5. Ferrari V, Didierjean A, Marmèche E (2008) Effect of expertise acquisition on strategic perception: the example of chess. Q J Exp Psychol (Colchester) 61: 1265-80.
6. Desimone R, Duncan J (1995) Neural mechanisms of selective visual attention. Annual Review of Neuroscience 18: 193-222.
7. Dosher BA, Lu ZL (2000) Noise exclusion in spatial attention. Psychological Science 11: 139-146.
8. Treue S, Maunsell JH (1996) Attentional modulation of visual motion processing in cortical areas mt and mst. Nature 382: 539-541.
9. Yeshurun Y, Carrasco M (1998) Attention improves or impairs visual performance by enhancing spatial resolution. Nature 396: 72-75.
10. Reynolds JH, Pasternak T, Desimone R (2000) Attention increases sensitivity of v4 neurons. Neuron 26: 703-714.
11. McKee S, Westheimer G (1978) Improvement in vernier acuity with practice. Perception & Psychophysics 24: 258-62.
12. Vogels R, Orban GA (1985) The effect of practice on the oblique effect in line orientation judgments. Vision Research 25: 1679-1687.
13. Karni A, Sagi D (1991) Where practice makes perfect in texture discrimination: evidence for primary visual cortex plasticity. Proceedings of the National Academy of Sciences 88: 4966-4970.
14. Li W, Piech V, Gilbert CD (2004) Perceptual learning and top-down influences in primary visual cortex. Nature Neuroscience 7: 651-657.
15. Ahissar M, Hochstein S (1996) Learning pop-out detection: specificities to stimulus characteristics. Vision Research 36: 3487-3500.
16. Schoups A, Orban GA (1996) Interocular transfer in perceptual learning of a pop-out discrimination task. Proceedings of the National Academy of Sciences 93: 7358-7362.
17. Schoups A, Vogels R, Qian N, Orban G (2001) Practising orientation identification improves orientation coding in v1 neurons. Nature 412: 549-553.
18. Ghose G, Yang T, Maunsell J (2002) Physiological correlates of perceptual learning in monkey V1 and V2. Journal of Neurophysiology 87: 1867-1888.
19. Dosher BA, Lu ZL (1998) Perceptual learning reflects external noise filtering and internal noise reduction through channel reweighting. Proceedings of the National Academy of Sciences 95: 13988-13993.
20. Ahissar M, Hochstein S (2004) The reverse hierarchy theory of visual perceptual learning. Trends In Cognitive Science 8: 457-464.
21. Law C, Gold JI (2008) Neural correlates of perceptual learning in a sensorymotor, but not a sensory, cortical area. Nature Neuroscience 11: 505-513.
22. Yang T, Maunsell J (2004) The effect of perceptual learning on neuronal responses in monkey visual area V4. Journal of Neuroscience 24: 1617-1626.
23. Raiguel S, Vogels R, Mysore SG, Orban GA (2006) Learning to see the difference specifically alters the most informative v4 neurons. Journal of Neuroscience 26: 6589-6602.
24. Fahle M (2005) Perceptual learning: specificity versus generalization. Current Opinion in Neurobiology 15: 154-160.
25. Sireteanu R, Rettenbach R (1995) Perceptual learning in visual search: fast, enduring, but non-specific. Vision Research 35: 2037-2043.
26. Logan G (1988) Toward an instance theory of automatization. Psychological review 95: 492-527.
27. Shiffrin R, Schneider W (1977) Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theory. Psychological review 84: 127-190.
28. Goldstone RL (1998) Perceptual learning. Annual Review of Psychology 49: 585-612.
29. Navalpakkam V, Itti L (2006) Top-down attention selection is fine grained. Journal of Vision 6: 1180-1193.
30. Itti L (2005) Quantifying the contribution of low-level saliency to human eye movements in dynamic scenes. Visual Cognition 12: 1093-1123.
31. Motter BC, Belky EJ (1998) The guidance of eye movements during active visual search. Vision Research 38: 1805-1815.
32. Bichot NP, Schall JD (1999) Effects of similarity and history on neural mechanisms of visual selection. Nature Neuroscience 2: 549-554.
33. Rutishauser U, Koch C (2007) Probabilistic modeling of eye movement data during conjunction search via feature-based attention. Journal of Vision 7: 5.
34. Treisman AM, Gelade G (1980) A feature-integration theory of attention. Cognitive Psychology 12: 97-136.
35. 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: 6.
36. Navalpakkam V, Itti L (2007) Search goal tunes visual features optimally. Neuron 53: 605-617.
37. Wolfe J (1994) Guided search 2. 0. A revised model of visual search. Psychonomic Bulletin & Review 1: 202-238.
38. Hillyard SA, Vogel EK, Luck SJ (1998) Sensory gain control (amplification) as a mechanism of selective attention: electrophysiological and neuroimaging evidence. Philosophical Transactions of the Royal Society B: Biological Sciences 353: 1257-1270.
39. Phillips MH, Edelman JA (2008) The dependence of visual scanning performance on saccade, fixation, and perceptual metrics. Vision Research 48: 926-936.
40. Hooge IT, Erkelens CJ (1999) Peripheral vision and oculomotor control during visual search. Vision Research 39: 1567-1575.
41. Luria SM, Strauss MS (1975) Eye movements during search for coded and uncoded targets. Perception & Psychophysics 17: 303-308.
42. Zelinsky GJ (1996) Using eye saccades to assess the selectivity of search movements. Vision Research 36: 2177-2187.
43. Engel FL (1971) Visual conspicuity, directed attention and retinal locus. Vision Research 11: 563-576.
44. Courtney AJ, Chan HS (1986) Visual lobe dimensions and search performance for targets on a competing homogeneous background. Perception & Psychophysics 40: 39-44.
45. Findlay J, Gilchrist I (2003) Active vision: The psychology of looking and seeing Oxford University Press Oxford.
46. Motter BC (1994) Neural correlates of feature selective memory and pop-out in extrastriate area v4. Journal of Neuroscience 14: 2190-2199.
47. Motter BC (1994) Neural correlates of attentive selection for color or luminance in extrastriate area v4. Journal of Neuroscience 14: 2178-2189.
48. Wolfe JM, Horowitz TS (2004) What attributes guide the deployment of visual attention and how do they do it? Nature Reviews Neuroscience 5: 495-501.
49. Herzog M, Fahle M (1998) Modeling perceptual learning: Difficulties and how they can be overcome. Biological Cybernetics 78: 107-117.