Perceptual learning through optimization of attentional weighting: Human versus optimal Bayesian learner

Journal of Vision

Volumn 4, Issue 12, 2004, Pages 1006-1019

  Eckstein, Miguel P ^a   Abbey, Craig K ^a   Pham, Binh T ^a   Shimozaki, Steven S ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Attention; Bayesian; Efficiency; Ideal observer; Noise; Perceptual learning

Indexed keywords

ADAPTIVE BEHAVIOR; ALGORITHM; ARTICLE; ASSOCIATION; ATTENTION; BAYES THEOREM; CONTROLLED STUDY; DECISION MAKING; HUMAN; HUMAN EXPERIMENT; LEARNING; MATHEMATICAL MODEL; NORMAL DISTRIBUTION; OBSERVATION; PERCEPTIVE DISCRIMINATION; PSYCHOLOGICAL THEORY; RANDOMIZATION; SAMPLING; SENSORY SYSTEM; TASK PERFORMANCE; VISUAL DISCRIMINATION; VISUAL ORIENTATION; ADULT; FEMALE; MALE; NASA DISCIPLINE SPACE HUMAN FACTORS; NON-NASA CENTER; PERCEPTIVE THRESHOLD; PHYSIOLOGY; PSYCHOLOGICAL MODEL; VISION;

NASA DISCIPLINE SPACE HUMAN FACTORS; NON-NASA CENTER;

ADULT; BAYES THEOREM; FEMALE; HUMANS; LEARNING; MALE; MODELS, PSYCHOLOGICAL; SENSORY THRESHOLDS; VISUAL PERCEPTION;

EID: 26044471722     PISSN: 15347362     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/4.12.3     Document Type: Article

References (45)

1. Abbey, C. K., Eckstein, M. P., & Shimozaki, S. S.(2001). The efficiency of perceptual learning in a visual detection task [Abstract]. Journal of Vision, 1(3), 28a, http://journalofvision.org/1/3/28/, doi:10.1167/1.3.28.
2. Atienza, M., Cantero, J. L., & Dominguez-Marin, E. (2002). The time course of neural changes underlying auditory perceptual learning. Learning and Memory, 9, 138-150.
3. Atkinson, R. C., Carterette, E. C., & Kinchla, R. A. (1962). Sequential phenomena in psychophysical judgments: A theoretical analysis. Institute of Radio Engineers Transactions on Information Theory, IT8, S155-162
4. Ball, K., & Sekuler, R. (1987). Direction-specific improvement in motion discrimination. Vision Research, 27, 953-965.
5. Barlow, H. B. (1980). The absolute efficiency of perceptual decisions. Philosophical Transactions of the Royal Society of London B, 290, 71-91.
6. Beard, B. L., & Ahumada, A. J., Jr.(1999). Detection in fixed and random noise in foveal and parafoveal vision explained by template learning. Journal of the Optical Society of America A, 16, 755-763.
7. Beard, B. L., Levi, D. M., & Reich, L. N. (1995). Perceptual-learning in parafoveal vision. Vision Research, 35, 1679-1690.
8. Burgess, A. E., Wagner, R. F., Jennings, R. J., & Barlow, H. B. (1981). Efficiency of human visual signal discrimination. Science, 2, 93-94.
9. Crist, R. E., Kapadia, M. K., Westheimer, G., & Gilbert, C. D. (1997). Perceptual learning of spatial localization: Specificity for orientation, position, and context. Journal of Neurophysiology, 78(6), 2889-2894.
10. Dosher, B. A., & Lu, Z. L. (1998). Perceptual learning reflects external noise filtering and internal noise reduction through channel reweighting. Proceedings of the National Academy of Sciences of the U.S.A., 95(23), 13988-13993.
11. 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), 25-45, http://journalofvision.org/2/1/3/, doi:10.1167/2.1.3.
12. Eckstein, M. P, Abbey, C. K., & Shimozaki, S. S. (2002). Short term negative learning produced by monitoring erroneous templates [Abstract]. Journal of Vision, 2(7), 560a, http://journalofvision.org/2/7/560/, doi:10.1167/2.7.560.
13. Eckstein, M. P., Ahumada, A., Jr., & Watson, A. B. (1997). Visual signal detection in structured backgrounds. II. Effect of contrast gain control, background variations and white noise. Journal of the Optical Society of America A, 14, 2406-2419.
14. Fahle, M., Edelman, S., & Poggio, T. (1995). Fast perceptual-learning in hyperacuity. Vision Research, 35(21), 3003-3013.
15. Fine, I., & Jacobs, R. A. (2002). Comparing perceptual learning tasks: A review. Journal of Vision, 2(2), 190-203, http://journalofvision.org/2/2/5/, doi:10.1167/2.2.5.
16. Geisler, W. S. (2003). Ideal Observer analysis. In L. Chalupa & J. Werner (Eds), The visual neurociences. Boston: MIT press.
17. Gibson, E. J. (1969). Principles of perceptual learning and development. Englewood Cliffs, NJ: Prentice-Hall.
18. Gibson, E. J. (2000). An ecological approach to perceptual learning and development. Oxford, NY: Oxford University Press.
19. Gold, J., Bennett, P. J., & Sekuler, A. B.(1999). Signal but not noise changes with perceptual learning. Nature, 402(6758), 176-178.
20. Gold, J. M. (2003). Dynamic classification images reveal the effects of perceptual learning in a hyperacuity task [Abstract]. Journal of Vision, 3(9), 162a, http://journalofvision.org/3/9/162/, doi:10.1167/3.9.162.
21. Goldstone, R. L. (1998). Perceptual learning. Annual Review of Psychology, 49, 585-612.
22. Green, D. M. (1964). Consistency of auditory detection judgments. Psychological Review, 71(5), 392-407.
23. Green, D. M., & Swets, J. A. (1966). Signal detection theory and Psychophysics. New York: Wiley.
24. Hurlbert, A. (2000). Visual perception: Learning to see through noise. Current Biology, 10, R231-R233.
25. Karni, A., & Sagi, D. (1993). The time course of learning a visual skill. Nature, 16, 250-252.
26. Kersten, D., Mamassian, P. & Yuille, A. (2004). Object perception as Bayesian inference. Annual Reviews of Psychology, 55, 271-304.
27. Kersten, D., & Yuille, A. (2003). Bayesian models of object perception. Current Opinion in Neurobiology, 13(2).
28. Kinchla, R. A. (1964). A learning factor in visual discrimination. In R. C. Atkinson (Ed.), Studies in mathematical psychology. Palo Alto: Stanford University Press.
29. Kinchla, R. A., Chen, Z., & Evert, D. (1995). Precue effects in visual search: Data or resource limited? Perception & Psychophysics, 57, 441-450.
30. Kullback, S. (1959), Information theory and statistics. New York: Wiley.
31. Li, R. W., Levi, D. M., & Klein, S. A. (2004). Perceptual learning improves efficiency by re-tuning the decision 'template' for position discrimination. Nature Neuroscience, 7(2), 178-183.
32. Liu, Z., Kersten, D., & Knill, D. C. (1999). Dissociating stimulus information from internal representation-a case study in object recognition. Vision Research, 39, 603-612.
33. Liu, Z., Knill, D. C., & Kersten, D. (1995). Object classification for human and ideal observers. Vision Research, 35, 549-568.
34. Lu, Z. L., & Dosher, B. A. (2004). Perceptual learning re-tunes the perceptual template in foveal orientation identification. Journal of Vision, 4(1), 44-56, http://journalofvision.org/4/1/5/, doi:10.1167/4.1.5.
35. Luck, S. J., & Vogel, E. K. (1997). The capacity of visual working memory for features and conjunctions, Nature, 390, 279-281.
36. Makeig, S., & Inlow, M. (1993). Lapses in alertness: Coherence of fluctuation in performance and EEG spectrum. Electroencephalography and Clinical Neurophysiology, 86, 23-35.
37. Matthews, Liu, Z., Geesaman, B. J., & Qian, N. (1999). Perceptual learning on orientation and direction discrimination. Vision Research, 39, 3692-3701.
38. McKee, S. P., & Westheimer, G.(1978). Improvement in vernier acuity with practice. Perception & Psychophysics, 24, 258-262.
39. Murray, R. F., Sekuler, A. B., & Bennett, P. J. (2003). A linear cue combination framework for under-standing selective attention. Journal of Vision, 3(2), 116-145, http://journalofvision.org/3/2/2/, doi:10.1167/3.2.2.
40. Pelli, D. G. (1985). Uncertainty explains many aspects of visual contrast detection and discrimination. Journal of the Optical Society of America A, 2, 1508-1532.
41. Peterson, W. W., Birdsall, T. G., & Fox, W. C. (1954). The theory of signal detectability. Transaction of the IRE P.G.I.T., 4, 171-212.
42. Shimozaki, S. S., Eckstein, M. P., & Abbey, C. K. (2003). Comparison of two weighted integration models for the cueing task: Linear and likelihood. Journal of Vision, 3(3), 209-229, http://journalofvision.org/3/3/3/, doi:10.1167/3.3.3.
43. Sur, M., Schummers, J., & Dragoi, V. (2002). Cortical plasticity: Time for a change. Current Biology, 12(5), R168-R170.
44. Tjan, B. S., Braje, W. L., Legge G. E., & Kersten, D. (1995). Human efficiency for recognizing 3-D objects in luminance noise. Vision Research, 35, 3053-3069.
45. Tjan, B. S., & Legge, G. E. (1999). The viewpoint complexity of an object-recognition task. Vision Research, 38, 2335-2350.