An integrated reweighting theory of perceptual learning

Proceedings of the National Academy of Sciences of the United States of America

Volumn 110, Issue 33, 2013, Pages 13678-13683

  Dosher, Barbara Anne ^a,b   Jeter, Pamela ^a,b   Liu, Jiajuan ^a   Lu, Zhong Lin ^c  

^a Department of Cognitive Sciences ^*  (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c OHIO STATE UNIVERSITY   (United States)

Author keywords

Hebbian models; Reweighting models

Indexed keywords

ARTICLE; LEARNING; NOISE; PERCEPTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; VISUAL ORIENTATION; VISUAL STIMULATION; VISUAL SYSTEM;

HEBBIAN MODELS; REWEIGHTING MODELS;

DISCRIMINATION LEARNING; HUMANS; MODELS, PSYCHOLOGICAL; ORIENTATION; PHOTIC STIMULATION; PSYCHOMOTOR PERFORMANCE; RETINA; SPACE PERCEPTION; TRANSFER (PSYCHOLOGY); VISUAL PERCEPTION;

EID: 84882442949     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1312552110     Document Type: Article

References (50)

1. Ball K, Sekuler R (1987) Direction-specific improvement in motion discrimination. Vision Res 27(6):953-965.
2. Fahle M, Morgan M (1996) No transfer of perceptual learning between similar stimuli in the same retinal position. Curr Biol 6(3):292-297.
3. Fiorentini A, Berardi N (1980) Perceptual learning specific for orientation and spatial frequency. Nature 287(5777):43-44.
4. Ramachandran V, Braddick O (1973) Orientation-specific learning in steropsis. Perceptn 2(3):371-376.
5. AhissarM, Hochstein S (1997) Task difficulty and the specificity of perceptual learning. Nature 387(6631):401-406.
6. Karni A, Sagi D (1991) Where practice makes perfect in texture discrimination: Evidence for primary visual cortex plasticity. Proc Natl Acad Sci USA 88(11):4966-4970.
7. Schoups AA, Vogels R, Orban GA (1995) Human perceptual learning in identifying the oblique orientation: Retinotopy, orientation specificity and monocularity. J Physiol 483(Pt 3):797-810.
8. Shiu LP, Pashler H (1992) Improvement in line orientation discrimination is retinally local but dependent on cognitive set. Percept Psychophys 52(5):582-588.
9. Dill M (2002) Specificity versus invariance of perceptual learning: The example of position. Perceptual Learning, eds Fahle M, Poggio T (The MIT Press, Cambridge, MA), 219-231.
10. Dosher BA, Lu ZL (1998) Perceptual learning reflects external noise filtering and internal noise reduction through channel reweighting. Proc Natl Acad Sci USA 95(23): 13988-13993.
11. Dosher BA, Lu ZL (1999) Mechanisms of perceptual learning. Vision Res 39(19): 3197-3221.
12. Dosher BA, Lu ZL (2009) Hebbian reweighting on stable representations in perceptual learning. Learning & Perception 1(1):37-58.
13. Petrov AA, Dosher BA, Lu ZL (2005) The dynamics of perceptual learning: An incremental reweighting model. Psychol Rev 112(4):715-743.
14. Petrov AA, Dosher BA, Lu ZL (2006) Perceptual learning without feedback in nonstationary contexts: Data and model. Vision Res 46(19):3177-3197.
15. Jeter PE, Dosher BA, Petrov A, Lu ZL (2009) Task precision at transfer determines specificity of perceptual learning. J Vis 9(3):1-13.
16. Jeter PE, Dosher BA, Liu SH, Lu ZL (2010) Specificity of perceptual learning increases with increased training. Vision Res 50(19):1928-1940.
17. Crist RE, Kapadia MK, Westheimer G, Gilbert CD (1997) Perceptual learning of spatial localization: Specificity for orientation, position, and context. J Neurophysiol 78(6): 2889-2894.
18. Dosher BA, Lu ZL (2005) Perceptual learning in clear displays optimizes perceptual expertise: Learning the limiting process. Proc Natl Acad Sci USA 102(14):5286-5290.
19. Dosher BA, Lu ZL (2007) The functional form of performance improvements in perceptual learning: Learning rates and transfer. Psychol Sci 18(6):531-539.
20. Liu Z, Weinshall D (2000) Mechanisms of generalization in perceptual learning. Vision Res 40(1):97-109.
21. Xiao LQ, et al. (2008) Complete transfer of perceptual learning across retinal locations enabled by double training. Curr Biol 18(24):1922-1926.
22. Zhang JY, et al. (2008) Stimulus coding rules for perceptual learning. PLoS Biol 6(8): e197.
23. Lu ZL, Chu W, Dosher BA (2006) Perceptual learning of motion direction discrimination in fovea: Separable mechanisms. Vision Res 46(15):2315-2327.
24. Mollon JD, Danilova MV (1996) Three remarks on perceptual learning. Spat Vis 10(1): 51-58.
25. Hua T, et al. (2010) Perceptual learning improves contrast sensitivity of V1 neurons in cats. Curr Biol 20(10):887-894.
26. Herzog MH, Fahle M (1997) The role of feedback in learning a vernier discrimination task. Vision Res 37(15):2133-2141.
27. Sotiropoulos G, Seitz AR, Seriès P (2011) Perceptual learning in visual hyperacuity: A reweighting model. Vision Res 51(6):585-599.
28. Huang CB, Lu ZL, Dosher B (2012) Co-learning analysis of two perceptual learning tasks with identical input stimuli supports the reweighting hypothesis. Vision Res 61: 25-32.
29. Poggio T, Fahle M, Edelman S (1992) Fast perceptual learning in visual hyperacuity. Science 256(5059):1018-1021.
30. Liu J, Lu Z-L, Dosher B (2011) Multi-location augmented hebbian reweighting accounts for transfer of perceptual learning following double training. J Vis 11(11):992.
31. Ghose GM, Yang T, Maunsell JHR (2002) Physiological correlates of perceptual learning in monkey V1 and V2. J Neurophysiol 87(4):1867-1888.
32. Crist RE, Li W, Gilbert CD (2001) Learning to see: Experience and attention in primary visual cortex. Nat Neurosci 4(5):519-525.
33. Gilbert CD, Sigman M, Crist RE (2001) The neural basis of perceptual learning. Neuron 31(5):681-697.
34. Schoups A, Vogels R, Qian N, Orban G (2001) Practising orientation identification improves orientation coding in V1 neurons. Nature 412(6846):549-553.
35. Yang T, Maunsell JHR (2004) The effect of perceptual learning on neuronal responses in monkey visual area V4. J Neurosci 24(7):1617-1626.
36. Li W, Piëch V, Gilbert CD (2004) Perceptual learning and top-down influences in primary visual cortex. Nat Neurosci 7(6):651-657.
37. Law CT, Gold JI (2008) Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area. Nat Neurosci 11(4):505-513.
38. Bejjanki VR, Beck JM, Lu Z-L, Pouget A (2011) Perceptual learning as improved probabilistic inference in early sensory areas. Nat Neurosci 14(5):642-648.
39. Bles M, Schwarzbach J, De Weerd P, Goebel R, Jansma BM (2006) Receptive field sizedependent attention effects in simultaneously presented stimulus displays. Neuroimage 30(2):506-511.
40. DiCarlo JJ, Maunsell JHR (2003) Anterior inferotemporal neurons of monkeys engaged in object recognition can be highly sensitive to object retinal position. J Neurophysiol 89(6):3264-3278.
41. Dill M, Fahle M (1997) The role of visual field position in pattern-discrimination learning. Proc Biol Sci 264(1384):1031-1036.
42. Li N, DiCarlo JJ (2008) Unsupervised natural experience rapidly alters invariant object representation in visual cortex. Science 321(5895):1502-1507.
43. Pollen DA, Przybyszewski AW, Rubin MA, Foote W (2002) Spatial receptive field organization of macaque V4 neurons. Cereb Cortex 12(6):601-616.
44. Smith AT, Singh KD, Williams AL, Greenlee MW (2001) Estimating receptive field size from fMRI data in human striate and extrastriate visual cortex. Cereb Cortex 11(12): 1182-1190.
45. Lamme VA, Roelfsema PR (2000) The distinct modes of vision offered by feedforward and recurrent processing. Trends Neurosci 23(11):571-579.
46. Dehaene S, Changeux J-P, Naccache L, Sackur J, Sergent C (2006) Conscious, preconscious, and subliminal processing: A testable taxonomy. Trends Cogn Sci 10(5): 204-211.
47. Jacobs RA (2009) Adaptive precision pooling of model neuron activities predicts the efficiency of human visual learning. J Vis 9(4):1-15.
48. Vaina LM, Sundareswaran V, Harris JG (1995) Learning to ignore: Psychophysics and computational modeling of fast learning of direction in noisy motion stimuli. Brain Res Cogn Brain Res 2(3):155-163.
49. Weiss Y, Edelman S, Fahle M (1993) Models of perceptual learning in vernier hyperacuity. Neural Comput 5(5):695-718.
50. Zhaoping L, Herzog MH, Dayan P (2003) Nonlinear ideal observation and recurrent preprocessing in perceptual learning. Network 14(2):233-247.