Perceptual learning, aging, and improved visual performance in early stages of visual processing

Journal of Vision

Volumn 10, Issue 13, 2010, Pages 1-13

  Andersen, George J ^a   Ni, Rui ^a   Bower, Jeffrey D ^a   Watanabe, Takeo ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b BOSTON UNIVERSITY   (United States)

Author keywords

Aging; Improved visual performance; Perceptual learning

Indexed keywords

AGED; AGING; DISCRIMINATION LEARNING; FEMALE; HUMAN; MALE; NERVE CELL PLASTICITY; PATTERN RECOGNITION; PERCEPTIVE THRESHOLD; PHOTOSTIMULATION; PHYSIOLOGY; PROCEDURES; VISUAL CORTEX; VISUAL FIELD; YOUNG ADULT;

AGED; AGING; DISCRIMINATION LEARNING; FEMALE; FORM PERCEPTION; HUMANS; MALE; NEURONAL PLASTICITY; PHOTIC STIMULATION; SENSORY THRESHOLDS; VISUAL CORTEX; VISUAL FIELDS; YOUNG ADULT;

EID: 79952279313     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/10.13.4     Document Type: Article

References (79)

1. Ahissar, M., & Hochstein, S. (1997). Task difficulty and the specificity of perceptual learning. Nature, 387, 401-406.
2. Andersen, G. J., & Atchley, P. (1995). Age-related differences in the detection of three-dimensional surfaces from optic flow. Psychology and Aging, 10, 650-658.
3. Andersen, G. J., Cisneros, J., Atchley, P., & Saidpour, A. (1999). Speed, size, and edge-rate information for the detection of collision events. Journal of Experimental Psychology: Human Perception and Performance, 25, 256-269.
4. Andersen, G. J., & Enriquez, A. (2006). Aging and the detection of observer and moving object collisions. Psychology and Aging, 21, 74-85.
5. Atchley, P., & Andersen, G. J. (1998). The effects of age, retinal eccentricity, and speed on the detection of optic flow components. Psychology and Aging, 13, 297-308.
6. Atchley, P., & Hoffman, L. (2004). Aging and visual masking: Sensory and attentional factors. Psychology and Aging, 19, 57-67.
7. Ball, K., & Owsley, C. (1993). The useful field of view test: A new technique for evaluating age-related declines in visual function. Journal of the American Optometric Association, 64, 71-79.
8. Ball, K., & Sekuler, R. (1987). Direction-specific improvement in motion discrimination. Vision Research, 27, 953-965.
9. Ball, K., Beard, B. L., Roenker, D. L., Miller, R. L., & Griggs, D. S. (1988). Age and visual search: Expanding the useful field of view. Journal of the Optical Society of America A, Optics and Image Science, 5, 2210-2219.
10. Bennett, P. J., Sekuler, R., & Sekuler, A. B. (2007). The effects of aging on motion detection and direction identification. Vision Research, 47, 799-809.
11. Betts, L. R., Sekuler, A. B., & Bennett, P. J. (2007). The effects of aging on orientation discrimination. Vision Research, 47, 1769-1780.
12. Betts, L. R., Taylor, C. P., Sekuler, A. B., & Bennett, P. J. (2005). Aging reduces center-surround antagonism in visual motion processing. Neuron, 45, 361-366.
13. Censor, N., Karni, A., & Sagi, D. (2006). A link between perceptual learning, adaptation, and sleep. Vision Research, 46, 4071-4074.
14. Chapanis, A. (1950). Relationships between age, visual acuity and color vision. Human Biology, 22, 1-33.
15. Derefeldt, G., Lennerstrand, G., & Lundh, B. (1979). Age variations in normal human contrast sensitivity. Acta Ophthalmologica, 57, 679-690.
16. Ding, J., & Levi, D. (2010). Recovery of stereopsis in human adults with strabismus [Abstract]. Journal of Vision, 10(7):1124, 1124a, http://www.journalofvision.org/content/10/7/1124, doi:10.1167/10.7.1124.
17. Domey, R. G., McFarland, R. A., & Chadwick, E. (1960). Dark adaptation as a function of age and time. II. A derivation. Journal of Gerontology, 15, 267-279.
18. 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 United States of America, 95, 13988-13993.
19. Fahle, M., & Edelman, S. (1993). Long-term learning in vernier acuity: Effects of stimulus orientation, range and of feedback. Vision Research, 33, 397-412.
20. Fahle, M., & Poggio, T. (2002). Perceptual learning. Boston, MA: MIT Press.
21. Fiorentini, A., & Berardi, N. (1980). Perceptual learning specific for orientation and spatial frequency. Nature, 287, 43-44.
22. Furmanski, C. S., Schluppeck, D., & Engel, S. A. (2004). Leaning strengthens the response of primary visual cortex to simple patterns. Current Biology, 14, 573-578.
23. Ghose, G. M. (2004). Learning in mammalian sensory cortex. Current Opinion in Neurobiology, 14, 513-518.
24. Ghose, G. M., Yang, T., & Maunsell, J. H. (2002). Physiological correlates of perceptual learning in monkey V1 and V2. Journal of Neurophysiology, 87, 1867-1888.
25. Gilmore, G. C., Wenk, H. E., Naylor, L. A., & Stuve, T. A. (1992). Motion perception and aging. Psychology and Aging, 7, 654-660.
26. Hua, T., Li, X., He, L., Zhou, Y., Wang, Y., & Leventhal, A. G. (2006). Functional degradation of visual cortical cells in old cats. Neurobiology of Aging, 27, 155-162.
27. Kahn, H. A., Leibowitz, H. M., Ganley, J. P., Kini, M. M., Colton, T., Nickerson, R. S., et al. (1977). The Framingham Eye Study. I. Outline and major prevalence findings. American Journal of Epidemiology, 106, 17-32.
28. 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 of the United States of America, 88, 4966-4970.
29. Karni, A., & Sagi, D. (1993). The time course of learning a visual skill. Nature, 365, 250-252.
30. Karni, A., Tanne, D., Rubenstein, B. S., Askenasy, J. J., & Sagi, D. (1994). Dependence on REM sleep of overnight improvement of a perceptual skill. Science, 265, 603-604.
31. Keltner, J. L., & Johnson, C. A. (1986). Current status of automated perimetry. Is the ideal automated perimeter available? Archives of Ophthalmology, 104, 347-349.
32. Kramer, A. F., & Madden, D. J. (2008). Attention. In F. Craik & T. Salthouse (Eds.), The handbook of aging and cognition (3rd ed., pp. 189-249). New York: Psychology Press.
33. Law, C. T., & Gold, J. I. (2009). Reinforcement learning can account for associative and perceptual learning on a visual-decision task. Nature Neuroscience, 12, 655-663.
34. Leventhal, A. G., Wang, Y., Pu, M., Zhou, Y., & Ma, Y. (2003). GABA and its agonists improved visual cortical function in senescent monkeys. Science, 300, 812-815.
35. Levi, D. M., & Li, R. W. (2009). Perceptual learning as a potential treatment for amblyopia: A mini-review. Vision Research, 49, 2535-2549.
36. Long, G. M., & Crambert, R. F. (1990). The nature and basis of age-related changes in dynamic visual acuity. Psychology and Aging, 5, 138-143.
37. Mayhew, S. D., Li, S., Storrar, J. K., Tsvetanov, J. A., & Kourtzi, Z. (2010). Learning shapes the representation of visual categories in the aging human brain. Journal of Cognitive Neuroscience, 22, 2899-2912.
38. McFarland, R. A., Domey, R. G., Warren, A. B., & Ward, D. C. (1960). Dark adaptation as a function of age: I. A statistical analysis. Journal of Gerontology, 15, 149-154.
39. McKee, S. P., & Westheimer, G. (1978). Improvement in vernier acuity with practice. Perception & Psychophysics, 24, 258-262.
40. Mendelson, J. R., & Wells, E. F. (2002). Age-related changes in the visual cortex. Vision Research, 42, 695-703.
41. Mollon, J. D., & Danilova, M. V. (1996). Three remarks on perceptual learning. Spatial Vision, 10, 51-58.
42. Nishina, S., Seitz, A. R., Kawato, M., & Watanabe, T. (2007). Effect of spatial distance to the task stimulus on taskirrelevant perceptual learning of static Gabors. Journal of Vision, 7(13):2, 1-10, http://www.journalofvision.org/content/7/13/2, doi:10.1167/7.13.2.
43. Norman, J. F., Crabtee, C. E., Bartholomew, A. N., & Ferrell, E. L. (2009). Aging and the perception of slant from optical texture, motion parallax, and binocular disparity. Attention, Perception & Psychophysics, 71, 116-130.
44. Norman, J. F., Norman, H. F., Craft, A. E., Walton, C. L., Bartholomew, A. N., Burton, C. L., et al. (2008). Stereopsis and aging. Vision Research, 48, 2456-2465.
45. Owsley, C., Ball, K., McGwin, G., & Slaon, M. E. (1998). Visual processing impairment and risk of motor vehicle crash among older adults. Journal of the American Medical Association, 279, 1083-1088.
46. Owsley, C., & Sloane, M. E. (1990). Vision and aging. In R. D. Nebes & S. Corkin (Eds.), Handbook of neuropsychology (vol. 4, pp. 229-249). New York: Elsevier Science.
47. Peelle, J. E., & Wingfield, A. (2005). Dissociations in perceptual learning revealed by adult age differences in adaptation to time-compressed speech. Journal of Experimental Psychology: Human Perception & Performance, 31, 1315-1330.
48. Pelli, D. G., Robson, J. G., & Wilkins, A. J. (1988). Designing a new letter chart for measuring contrast sensitivity. Clinical Visual Sciences, 2, 187-199.
49. Pentland, A. (1980). Maximum likelihood estimation: The best PEST. Perception & Psychophysics, 28, 377-379.
50. Peters, A., Feldman, M. L., & Vaughan, D. W. (1983). The effect of aging on the neuronal population within area 17 of adult rat cerebral cortex. Neurobiology of Aging, 4, 273-282.
51. Peters, A., Nigro, N. J., & McNally, K. J. (1997). A further evaluation of the effect of age on striate cortex of the rhesus monkey. Neurobiology of Aging, 18, 29-36.
52. Petrov, A. A., Dosher, B. A., & Lu, Z. L. (2005). The dynamics of perceptual learning: An incremental reweighting model. Psychological Review, 112, 715-743.
53. Poggio, T., Fahle, M., & Edelman, S. (1992). Fast perceptual learning in visual hyperacuity. Science, 256, 1018-1021.
54. Polat, U., Ma-Naim, T., Belkin, M., & Sagi, D. (2004). Improving vision in adult amblyopia by perceptual learning. Proceedings of the National Academy of Sciences of the United States of America, 101, 6692-6697.
55. Polat, U., Ma-Naim, T., & Spierer, A. (2009). Treatment of children with amblyopia by perceptual learning. Vision Research, 49, 2599-2603.
56. Ratcliff, R., Thapar, A., & McKoon, G. (2006). Aging, practice, and perceptual tasks: A diffusion model analysis. Psychology and Aging, 21, 353-371.
57. Richards, E., Bennett, P. J., & Sekuler, A. B. (2006). Age related differences in learning with the useful field of view. Vision Research, 46, 4217-4231.
58. Richards, O. W. (1977). Effects of luminance and contrast on visual acuity, ages 16 to 90 years. American Journal of Optometry and Physiological Optics, 54, 178-184.
59. Roberts, M. J., Zinke, W., Guo, K., Robertson, R., McDonald, J. S., & Thiele, A. (2005). Acetylcholine dynamically controls spatial integration in marmoset primary visual cortex. Journal of Neurophysiology, 93, 2062-2072.
60. Saarinen, J., & Levi, D. M. (1995). Perceptual learning in vernier acuity: What is learned? Vision Research, 35, 519-527.
61. Sagi, D., & Tanne, D. (1994). Perceptual learning: Learning to see. Current Opinion in Neurobiology, 4, 195-199.
62. Schmolesky, M. T., Wang, Y., Pu, M., & Leventhal, A. G. (2000). Degradation of stimulus selectivity of visual cortical cells in senescent rhesus monkeys. Nature Neuroscience, 3, 384-390.
63. Schoups, A., Vogels, R., Qian, N., & Orban, G. (2001). Practising orientation identification improves orientation coding in V1 neurons. Nature, 412, 549-553.
64. Schoups, A. A., Vogels, R., & Orban, G. A. (1995). Human perceptual learning in identifying the oblique orientation: Retinotopy, orientation specificity and monocularity. The Journal of Physiology, 483, 797-810.
65. Schwartz, S., Maquet, P., & Frith, C. (2002). Neural correlates of perceptual learning: A functional MRI study of visual texture discrimination. Proceedings of the National Academy of Sciences of the United States of America, 99, 137-142.
66. Scialfa, C. T., Kline, D. W., & Lyman, B. J. (1987). Age differences in target identification as a function of retinal location and noise level: Examination of the useful field of view. Psychology and Aging, 2, 14-19.
67. Seitz, A. R., & Watanabe, T. (2003). Psychophysics: Is subliminal learning really passive? Nature, 422, 36.
68. Sekuler, R., Kline, D. W., Dismukes, K., & Adams, A. J. (1983). Some research needs in aging and visual perception. Vision Research, 23, 213-216.
69. Sekuler, R., Owsley, C., & Hutman, L. (1982). Assessing spatial vision of older people. American Journal of Optometry and Physiological Optics, 59, 961-968.
70. Shui, L. P., & Pashler, H. (1992). Improvement in line orientation discrimination is retinally local but dependent on cognitive set. Perception & Psychophysics, 52, 582-588.
71. Spear, P. D. (1993). Neural bases of visual deficits during aging. Vision Research, 33, 2589-2609.
72. Trick, G. L., & Silverman, S. E. (1991). Visual sensitivity to motion: Age-related changes and deficits in senile dementia of the Alzheimer type. Neurology, 41, 1437-1440.
73. Walker, M. P., & Stickgold, R. (2005). It's practice, with sleep, that makes perfect: Implications for sleepdependent learning and plasticity for skill performance. Clinical Sports Medicine, 24, 301-317.
74. Walker, M. P., Stickgold, R., Jolesz, F. A., & Yoo, S. S. (2005). The functional anatomy of sleep-dependent visual skill learning. Cerebral Cortex, 15, 1666-1675.
75. Watanabe, T., Nanez, J., and Sasaki, Y. (2001). Perceptual learning without perception, Nature, 413, 844-848.
76. Watanabe, T., Nanez, J. E., Koyoma, S., Mukai, I., Liederman, J., & Sasaki, Y. (2002). Greater plasticity in lower level than higher level visual motion processing in a passive perceptual learning task. Nature Neuroscience, 5, 1003-1009.
77. Xiao, L. Q., Zhang, J. Y., Wang, R., Klein, S. A., Levi, D. M., & Yu, C. (2008). Complete transfer of perceptual learning across retinal locations enabled by double training. Current Biology, 18, 1922-1926.
78. Yotsumoto, Y., Sasaki, Y., Chan, P., Vasios, C. E., Bonmassar, G., Ito, N., et al. (2009). Locationspecific cortical activation changes during sleep after perceptual training for perceptual learning. Current Biology, 19, 1278-1282.
79. Yotsumoto, Y., Watanabe, T., & Sasaki, Y. (2008). Different dynamics of performance and brain activation in the time course of perceptual learning. Neuron, 57, 827-833.