Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-28T04:26:28.119Z Has data issue: false hasContentIssue false
  • English
  • Français

Chromatic adaptation, perceived location, and color tuning properties

Published online by Cambridge University Press:  05 April 2005

D.J. McKEEFRY ,
P.V. McGRAW ,
C. VAKROU  and
D. WHITAKER
D.J. McKEEFRY
Affiliation:
Department of Optometry, University of Bradford, Bradford, UK
P.V. McGRAW
Affiliation:
Department of Optometry, University of Bradford, Bradford, UK
C. VAKROU
Affiliation:
Department of Optometry, University of Bradford, Bradford, UK
D. WHITAKER
Affiliation:
Department of Optometry, University of Bradford, Bradford, UK
Get access Rights & Permissions [Opens in a new window]

Abstract

We have studied the influence of chromatic adaptation upon the perceived visual position of a test stimulus using a Vernier alignment task. Maximum and minimum offsets in spatial position are generated when the adapting and test stimuli lie on the same and orthogonal axes in MBDKL color space, respectively. When the test stimuli lie on intermediate color axes, the measured positional shifts decrease as a function of the angular separation in color space (φ) from the adapting stimulus. At low stimulus contrasts, these shifts follow a sinusoidal function of φ and exhibit broad chromatic tuning and can be accounted for by a model in which the centroid is extracted from the linear combination of after-image, formed by the adapting stimulus, and the test stimulus. Such linear, broadband behavior is consistent with the response properties of chromatic neurons in the precortical visual pathway. At high contrast, and when adaptation gets closer to the S/(L+M) axis, the tuning functions become narrower and require sinusoids raised to increasingly higher exponents in order to describe the data. This narrowing of chromatic tuning is consistent with the tuning properties of chromatic neurons in the striate cortex, and implies the operation of a nonlinear mechanism in the combination of cone outputs.

Keywords

PsychophysicsColorAdaptation
Type
Research Article
Information
Visual Neuroscience , Volume 21 , Issue 3 , May 2004 , pp. 275 - 282
Copyright
© 2004 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Albrecht, D.G. & Geisler, W.S. (1991). Motion selectivity and the contrast-response function of simple cells in the visual cortex. Visual Neuroscience 7, 531–546.CrossRefGoogle Scholar
Clifford, C.W.G., Spehar, B., Solomon, S.G., Martin, P.R., & Zaidi, Q. (2003). Interactions between colour and luminance in the perception of orientation. Journal of Vision 3, 106–115.Google Scholar
Derrington, A.M., Krauskopf, J., & Lennie P. (1984). Chromatic mechanisms in lateral geniculate nucleus of macaque. Journal of Physiology 357, 241–256.CrossRefGoogle Scholar
DeValois, R.L. & DeValois, K.K. (1993). A multi-stage color model. Vision Research 33, 1053–1065.CrossRefGoogle Scholar
DeValois, R.L., Abramov, I., & Jacobs G.H. (1966). Analysis of the response patterns of LGN cells. Journal of the Optical Society of America 56, 966–977.Google Scholar
DeValois, R.L., DeValois, K.K., Switkes, E., & Mahon, L. (1997). Hue scaling of isoluminant and cone specific lights. Vision Research 37, 885–897.CrossRefGoogle Scholar
DeValois, R.L., DeValois, K.K., & Mahon, L.E. (2000a). Contribution of S opponent cells to color appearance. Proceedings of the National Academy of Sciences of the U.S.A. 97, 512–517.Google Scholar
DeValois, R.L., Cottaris, N.P., Elfar, S.D., Mahon, L.E., & Wilson, J.A. (2000b). Some transformations of color information from lateral geniculate nucleus to striate cortex. Proceedings of the National Academy of Sciences of the U.S.A. 97, 4997–5002.Google Scholar
D'Zmura, M. & Knoblauch, K. (1998). Spectral bandwidths for the detection of color. Vision Research 38, 3117–3128.CrossRefGoogle Scholar
Ferster, D. & Miller, K.D. (2000). Neural mechanisms of orientation selectivity in the visual cortex. Annual Review of Neuroscience 23, 441–471.Google Scholar
Gegenfurtner, K.R., Kiper, D.C., & Levitt, J.B. (1997). Functional properties of neurons in macaque area V3. Journal of Neurophysiology 77, 1906–1923.Google Scholar
Giulianini, F. & Eskew, R.T. (1998). Chromatic masking in the (ΔL/L, ΔM/M) plane of cone-contrast space reveals only two detection mechanisms. Vision Research 38, 3913–3926.Google Scholar
Goda, N. & Fujii, M. (2001). Sensitivity to modulation of color distribution in multi-colored textures. Vision Research 41, 2475–2485.Google Scholar
Johnson, E.N., Hawken, M.J., & Shapley, R. (2001). The spatial transformation of color in the primary visual cortex of the macaque monkey. Nature Neuroscience 4, 409–416.CrossRefGoogle Scholar
Kiper, D.C., Fenstermaker, S.B., & Gegenfurtner, K.R. (1997). Chromatic properties of neurons in macaque area V2. Visual Neuroscience 14, 1061–1072.CrossRefGoogle Scholar
Komatsu, H., Ideura, Y., Kaji, S., & Yamane, S. (1992). Color selectivity of neurons in the inferior temporal cortex of the awake macaque monkey. Journal of Neuroscience 12, 408–424.Google Scholar
Krauskopf, J., Williams, D.R., Mandler, M.B., & Brown, A.M. (1986). Higher order color mechanisms. Vision Research 26, 26–32.Google Scholar
Lennie, P., Krauskopf, J., & Sclar, G. (1990). Chromatic mechanisms in the striate cortex of the macaque. Journal of Neuroscience 10, 649–669.Google Scholar
Li, A. & Lennie, P. (1997). Mechanisms underlying segmentation of colored textures. Vision Research 37, 83–97.CrossRefGoogle Scholar
MacLeod, D.I. & Boynton, R.M. (1979). Chromaticity diagram showing cone excitation by stimuli of equal luminance. Journal of the Optical Society of America A 69, 1183–1186.Google Scholar
McGraw, P.V., Whitaker, D., & McKeefry, D.J. (2001). Positional adaptation reveals independent suprathreshold luminance and chromatic mechanisms. Perception 30, S15.Google Scholar
McGraw, P.V., McKeefry, D.J., Whitaker, D., & Vakrou, C. (2004). Positional adaptation reveals multiple chromatic mechanisms in human vision. Journal of Vision (in press).Google Scholar
McKeefry, D.J., McGraw, P.V., & Whitaker, D. (2002). The influence of chromatic adaptation on perceived location. Perception 31, S16.Google Scholar
Mollon, J.D. (1982). Color Vision. Annual Review of Psychology 33, 41–85.CrossRefGoogle Scholar
Mullen, K.T. & Losada, M.A. (1994). Evidence for separate pathways for color and luminance detection mechanisms. Journal of the Optical Society of America A 11, 3136–3151.CrossRefGoogle Scholar
Smith, V.C. & Pokorny, J. (1975). Spectral sensitivity of the foveal cone photopigments between 400 and 500 nm. Vision Research 15, 161–171.Google Scholar
Thorell, L.G., DeValois, R.L., & Albrecht, D.G. (1984). Spatial mapping of monkey V1 cells with pure color and luminance stimuli. Vision Research 24, 751–769.CrossRefGoogle Scholar
Troyer, T.W., Krukowski, A.E., Priebe, N.J., & Miller, K.D. (1998). Contrast-invariant orientation tuning in cat visual cortex thalamocortical input tuning and correlation based intracortical connectivity. Journal of Neuroscience 18, 5908–5927.Google Scholar
Vautin, R.G. & Dow, B.M. (1985). Color cell groups in foveal striate cortex of the behaving macaque. Journal of Neurophysiology 54, 273–292.Google Scholar
Webster, M.A. & Mollon, J.D. (1991). Changes in colour appearance following postreceptoral adaptation. Nature 349, 235–238.CrossRefGoogle Scholar
Webster, M.A. & Mollon, J.D. (1994). The influence of contrast adaptation on colour appearance. Vision Research 34, 1993–2020.CrossRefGoogle Scholar
Whitaker, D., McGraw, P.V., & Levi, D.M. (1997). The influence of adaptation on perceived visual location. Vision Research 37, 2207–2216.CrossRefGoogle Scholar
Wyszecki, G. & Stiles, W.S. (1982). Color Science: Concepts and Methods, Quantitative Data and Formulas. New York: John Wiley.
Zaidi, Q. & Halevy, D. (1993). Visual mechanisms that signal the direction of color changes. Vision Research 33, 1037–1051.Google Scholar