The brightness of colour

PLoS ONE

Volumn 4, Issue 3, 2009, Pages

  Corney, David ^a   Haynes, John Dylan ^b   Rees, Geraint ^c,d   Lotto, R Beau ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b BERNSTEIN CENTER FOR COMPUTATIONAL NEUROSCIENCE   (Germany)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BAYESIAN LEARNING; BRAIN FUNCTION; BRIGHTNESS; COLOR VISION; CONTROLLED STUDY; EVOKED VISUAL RESPONSE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; ILLUSION; MOLECULAR EVOLUTION; NORMAL HUMAN; PHOTORECEPTOR; RETINA; SPECTRAL SENSITIVITY; VISUAL CORTEX; VISUAL STIMULATION; VISUAL SYSTEM; BIOLOGICAL MODEL; BRAIN MAPPING; CONTRAST SENSITIVITY; ILLUMINATION; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY;

BRAIN MAPPING; COLOR PERCEPTION; CONTRAST SENSITIVITY; HUMANS; LIGHTING; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL;

EID: 63749084618     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0005091     Document Type: Article

References (53)

1. Fairchild MD (1998) Color Appearance Models. 1st ed. Reading, MS: Addison Wesley.
2. Sharpe LT, Stockman A, Jagla W, Jägle H (2005) A luminous efficiency function, V*(lambda), for daylight adaptation. J Vis 5: 948-68.
3. Lennie P, Pokorny J, Smith VC (1993) Luminance. J Opt Soc Am A 10: 1283-1293.
4. Osorio D, Vorobyev M (2005) Photoreceptor spectral sensitivities in terrestrial animals: adaptations for luminance and colour vision. Philos Trans R Soc Lond B Biol Sci 272: 1745-1752.
5. Pridmore RW (2007) Effects of luminance, wavelength and purity on the color attributes: Brief review with new data and perspectives. Color Research & Application 32: 208-222.
6. von Helmholtz HLF (1867/1924) Treatise on Physiological Optics (1924 Southall translation). Rochester, NY: The Optical Society of America.
7. Wyszecki G (1967) Correlate for lightness in terms of CIE chromaticity coordinates and luminous reflectance. J Opt Soc Am 57: 254-257.
8. Nayatani Y (1998) A colorimetric explanation of the Helmholtz-Kohlrausch effect. Color Res Appl 23: 374-378.
9. Ayama M, Ikeda M (1998) Brightness-to-luminance ratio of colored light in the entire chromaticity diagram. Color Res Appl 23: 274-287.
10. Knill DC, Richards W (1996) Perception as Bayesian Inference. Cambridge: CUP.
11. Purves D, Lotto RB (2003) Why we see what we do. Sunderland, MA: Sinauer Associates.
12. Long F, Purves D (2003) Natural scene statistics as the universal basis of color context effects. Proc Natl Acad Sci USA 100: 15190-15193.
13. Howe CQ, Purves D (2005) Natural-scene geometry predicts the perception of angles and line orientation. Proc Natl Acad Sci USA 102: 1228-1233.
14. Gurney K (2007) Neural networks for perceptual processing: from simulation tools to theories. Philos Trans R Soc Lond B Biol Sci 362: 339-53.
15. Corney DPA, Lotto RB (2007) What Are Lightness Illusions and Why Do We See Them? PLoS Comput Biol 3: e180. doi: 10.1371/journal.pcbi.0030180.
16. Geisler WS (2003) Ideal Observer analysis. In The Visual Neurosciences. Chalupa L, Werner J, eds. Boston: MIT press. pp 825-837.
17. Boots B, Nundy S, Purves D (2007) Evolution of visually guided behavior in artificial agents. Network: Comput Neural Syst 18: 11-34.
18. Regan BC, Julliot C, Simmen B, Viénot F, Charles-Dominique P, et al. (2001) Fruits, foliage and the evolution of primate colour vision. Philosophical Transactions of the Royal Society of London Series B 356(1407): 229-283. doi: 10.1098/rstb.2000.0773.
19. Thomson EE, Kristan WB (2005) Quantifying Stimulus Discriminability: A Comparison of Information Theory and Ideal Observer Analysis. Neural Comp 17: 741-778.
20. Brainard DH, Williams DR, Hofer H (2008) Trichromatic reconstruction from the interleaved cone mosaic: Bayesian model and the color appearance of small spots. Journal of Vision 8: 1-23.
21. Maloney LT (1986) Evaluation of linear models of surface spectral reflectance with small numbers of parameters. J Opt Soc Am A Opt Image Sci Vis 3: 1673-1683.
22. Wachtler T, Lee T, Sejnowski TJ (2001) Chromatic structure of natural scenes. J Opt Soc Am A Opt Image Sci Vis 18: 65-77.
23. Oxtoby EK, Foster DH (2005) Perceptual limits on low-dimensional models of Munsell reflectance spectra. Perception 34: 961-966.
24. Foster DH, Amano K, Nascimento SMC, Foster MJ (2006) Frequency of metamerism in natural scenes. J Opt Soc Am A Opt Image Sci Vis 23: 2359-2372.
25. Stockman A, Sharpe LT (2000) The spectral sensitivities of the middle- and long-wavelength-sensitive cones derived from measurements in observers of known genotype. Vision Res 40: 1711-1737.
26. Bowmaker JK, Heath LA, Wilkie SE, Hunt DM (1997) Visual pigments and oil droplets from six classes of photoreceptor in the retinas of birds. Vision Research 37: 2183-94.
27. MacEvoy SP, Paradiso MA (2001) Lightness constancy in primary visual cortex. Proc Natl Acad Sci 98: 8827-8831.
28. Haynes JD, Lotto RB, Rees G (2004) Responses of human visual cortex to uniform surfaces. Proc Natl Acad Sci USA 101: 4286-4291.
29. Cornelissen FW, Wade AR, Vladusich T, Dougherty RF, Wandell BA (2006) No Functional Magnetic Resonance Imaging Evidence for Brightness and Color Filling-In In Early Human Visual Cortex. J Neurosci 26: 3634-3641.
30. Roe AW, Lu HD, Hung CP (2005) Cortical processing of a brightness illusion. Proc Natl Acad Sci U S A Mar 8;102: 3869-74.
31. Boyaci H, Fang F, Murray SO, Kersten D (2007) Responses to lightness variations in early human visual cortex. Curr Biol Jun 5;17(11): 989-93.
32. Mullen KT, Dumoulin SO, McMahon KL, Zubicaray GID, Hess RF (2007) Selectivity of human retinotopic visual cortex to S-cone-opponent, L/ M-cone-opponent and achromatic stimulation. European Journal of Neuroscience 25: 491-502.
33. Andrews TJ, Lotto RB (2004) Fusion and Rivalry Are Dependent on the Perceptual Meaning of Visual Stimuli. Curr Biol 14: 418-423.
34. Lotto RB, Chittka L (2005) Seeing the light: Illumination as a contextual cue to color choice behavior in bumblebees. Proc Natl Acad Sci USA 102: 3852-3856.
35. Lotto RB, Wicklein M (2005) Bees encode behaviorally significant spectral relationships in complex scenes to resolve stimulus ambiguity. Proc Natl Acad Sci USA 102: 16870-16874.
36. Schlessinger E, Bentley PJ, Lotto RB (2005) Evolving Visually Guided Agents in an Ambiguous Virtual World. In Proceedings of the Genetic and Evolutionary Computation Conference GECCO'05, Washington DC. pp 115-120.
37. Kaiser PK, Boynton RM (1996) Human color vision. Washington, DC: Optical Society of America.
38. Lewis A, Zhaoping L (2006) Are cone sensitivities determined by natural color statistics? J Vision 6: 285-302.
39. Webster MA, Mollon JD (1997) Adaptation and the color statistics of natural images. Vision Res 37: 3283-3298.
40. von der Twer T, Macleod DIA (2001) Optimal nonlinear codes for the perception of natural colours. Network: Comput Neural Syst 12: 395-407.
41. Long F, Yang Z, Purves D (2006) Spectral statistics in natural scenes predict hue, saturation, and brightness. Proc Natl Acad Sci USA 103: 6013-6018.
42. Brainard DH, Freeman WT (1997) Bayesian color constancy. J Opt Soc Am A Opt Image Sci Vis 14: 1393-411.
43. Hung CP, Ramsden BM, Chen LM, Roe AW (2001) Building surfaces from borders in Areas 17 and 18 of the cat. Vision Res 41: 1389-1407.
44. Stockman A, Plummer DJ (2005) Long-wavelength adaptation reveals slow, spectrally opponent inputs to the human luminance pathway. J Vis 5: 702-716.
45. Stockman A, Plummer DJ (2005) Spectrally opponent inputs to the human luminance pathway: slow+ L and-M cone inputs revealed by low to moderate long-wavelength adaptation. J Physiol 566: 77-91.
46. Stockman A, Plummer DJ, Montag ED (2005) Spectrally opponent inputs to the human luminance pathway: slow+ M and-L cone inputs revealed by intense long-wavelength adaptation. J Physiol 566: 61-76.
47. Lennie P, Krauskopf J, Sclar G (1990) Chromatic mechanisms in striate cortex of macaque. J Neurosci 10: 649-69.
48. Conway BR (2001) Spatial structure of cone inputs to color cells in alert macaque primary visual cortex (V-1). J Neurosci 21: 2768-2783.
49. Johnson EN, Hawken MJ, Shapley R (2004) Cone Inputs in Macaque Primary Visual Cortex. J Neurophysiol 91: 2501-2514.
50. Murray SO, Boyaci H, Kersten D (2006) The representation of perceived angular size in human primary visual cortex. Nat Neurosci 9: 429-434.
51. Foster DH, Nascimento SMC, Amano K (2004) Information limits on neural identification of colored surfaces in natural scenes. Visual neuroscience 21: 331-6.
52. Wandell BA, Chial S, Backus BT (2000) Visualization and measurement of the cortical surface. J Cog Neurosci 12: 739-752.
53. Friston KJ, Holmes AP, Worsley KJ, Poline JP, Frith CD, et al. (1995) Statistical Parametric Maps in Functional Imaging: A General Linear Approach. Hum Brain Mapp 2: 189-210.