Opponent process

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Opponent colors based on an experiment. Deuteranopes see little difference between the two colors in the central column.
Diagram of the opponent process

The color opponent process was developed by Ewald Hering, it is a color theory that states that the human visual system interprets information about color by processing signals from cone cells and rod cells in an antagonistic manner. There is some overlap in the wavelengths of light to which the three types of cones (L for long-wave, M for medium-wave, and S for short-wave light) respond, so it is more efficient for the visual system to record differences between the responses of cones, rather than each type of cone's individual response. The opponent color theory suggests that there are three opponent channels the cone photoreceptors are linked together to form three opposing color pairs: red versus green, blue versus yellow, and black versus white (the last type is achromatic and detects light-dark variation, or luminance).[1] When people stare at a bright color for too long, for example, red, and look away at a white field they will perceive a green color. Activation of one member of the pair inhibits activity in the other.  This theory also helps to explain some types of color vision deficiency.  For example, people with dichromatic deficiencies can match a test field using only two primaries.  Depending on the deficiency they will confuse either red and green or blue and yellow. The opponent-process theory explains color vision as a result of the way in which photoreceptors are interconnected neutrally. The opponent-process theory applies to different levels of the nervous system. Once the neutral system passes beyond the retina to the brain, the nature of the cell changes and the cell responds in an opponent fashion. For example, the green and red photoreceptor might each send a signal to the blue-red opponent cell farther along with the system. Responses to one color of an opponent channel are antagonistic to those to the other color. That is, opposite opponent colors are never perceived together – there is no "greenish red" or "yellowish blue".

While the trichromatic theory defines the way the retina of the eye allows the visual system to detect color with three types of cones, the opponent process theory accounts for mechanisms that receive and process information from cones. Though the trichromatic and opponent processes theories were initially thought to be at odds, it later came to be understood that the mechanisms responsible for the opponent process receive signals from the three types of cones and process them at a more complex level.[2]

Besides the cones, which detect light entering the eye, the biological basis of the opponent theory involves two other types of cells: bipolar cells, and ganglion cells. Information from the cones is passed to the bipolar cells in the retina, which may be the cells in the opponent process that transform the information from cones. The information is then passed to ganglion cells, of which there are two major classes: magnocellular, or large-cell layers, and parvocellular, or small-cell layers. Parvocellular cells, or P cells, handle the majority of information about color and fall into two groups: one that processes information about differences between the firing of L and M cones, and one that processes differences between S cones and a combined signal from both L and M cones. The first subtype of cells is responsible for processing red–green differences, and the second process blue–yellow differences. P cells also transmit information about the intensity of light (how much of it there is) due to their receptive fields.[citation needed]

History[edit]

Johann Wolfgang von Goethe first studied the physiological effect of opposed colors in his Theory of Colours in 1810.[3] Goethe arranged his color wheel symmetrically "for the colours diametrically opposed to each other in this diagram are those which reciprocally evoke each other in the eye. Thus, yellow demands purple; orange, blue; red, green; and vice versa: Thus again all intermediate gradations reciprocally evoke each other."[4][5]

Ewald Hering proposed opponent color theory in 1892.[6] He thought that the colors red, yellow, green, and blue are special in that any other color can be described as a mix of them, and that they exist in opposite pairs. That is, either red or green is perceived and never greenish-red: Even though yellow is a mixture of red and green in the RGB color theory, the eye does not perceive it as such. In 1957, Leo Hurvich and Dorothea Jameson provided quantitative data for Hering's color-opponent theory. Their method was called hue cancellation. Hue cancellation experiments start with a color (e.g. yellow) and attempt to determine how much of the opponent color (e.g. blue) of one of the starting color's components must be added to eliminate any hint of that component from the starting color.[7][8] In 1959, Svaetichin and MacNichol[9] recorded from the retina of fish and reported of three distinct types of cells: one responded with hyperpolarization to all light stimuli regardless of wavelength and was termed a luminosity cell. A second cell responded with hyperpolarization at short wavelengths and with depolarization at mid-to-long wavelengths. This was termed a chromaticity cell. A third cell, also a chromaticity cell, responded with hyperpolarization at fairly short wave- lengths, peaking about 490 nm, and with depolarization at wavelengths longer than about 610 nm. Svaetichin and MacNichol called the chromaticity cells Yellow- Blue and Red-Green opponent color cells. Similar chromatically or spectrally opposed cells, often incorporating spatial-opponency (e.g. red "on" center and green "off" surround), were found in the vertebrate retina and lateral geniculate nucleus (LGN) through the 1950s and 1960s by De Valois et al.,[10] Wiesel and Hubel,[11] and others.[12][13][14][15] After Svaetichin's lead, the cells were widely called opponent colour cells, Red-Green and Yellow-Blue. Over the next three decades, spectrally opposed cells continued to be reported in primate retina and LGN.[16][17][18][19] A variety of terms are used in the literature to describe these cells, including chromatically opposed or -opponent, spectrally opposed or -opponent, opponent colour, colour opponent, opponent response, and simply, opponent cell.

The opponent color theory can be applied to computer vision and implemented as the Gaussian color model[20] and the natural-vision-processing model.[21][22][23]

Others have applied the idea of opposing stimulations beyond visual systems, described in the article on opponent-process theory. In 1967, Rod Grigg extended the concept to reflect a wide range of opponent processes in biological systems.[24] In 1970, Solomon and Corbit expanded Hurvich and Jameson's general neurological opponent process model to explain emotion, drug addiction, and work motivation.[25][26]

Criticism and the complementary color cells[edit]

There is a lot of controversy over whether Opponent-processing theory is the best way to explain the color vision. There have been a few experiments involving image stabilization (where you experience border loss) that produced results that suggest participants have seen “impossible” colors, or color combinations we shouldn't be able to see under the Opponent-processing theory; However, many criticize that this may just be illusionary experiences. Critics and researchers have instead started to turn to explain color vision through references to retinal mechanisms, rather than opponent processing, which happens in the brain's visual cortex.

As recordings from single cell accumulated, it became clear to many physiologists and psychophysicists that opponent colors did not satisfactorily account for single cell spectrally opposed responses. For instance, Jameson and D’Andrade[27] analyzed opponent-colors theory and found the unique hues did not match the spectrally opposed responses. De Valois himself[28] summed it up: “Although we, like others, were most impressed with finding opponent cells, in accord with Hering’s suggestions, when the Zeitgeist at the time was strongly opposed to the notion, the earliest recordings revealed a discrepancy between the Hering-Hurvich-Jameson opponent perceptual channels and the response characteristics of opponent cells in the macaque lateral geniculate nucleus.” Valberg[29] recalls that “it became common among neurophysiologists to use colour terms when referring to opponent cells as in the notations ‘red-ON cells’, ‘green-OFF cells’ .... In the debate .... some psychophysicists were happy to see what they believed to be opponency confirmed at an objective, physiological level. Consequently, little hesitation was shown in relating the unique and polar color pairs directly to cone opponency. Despite evidence to the contrary .... textbooks have, up to this day, repeated the misconception of relating unique hue perception directly to peripheral cone opponent processes. The analogy with Hering's hypothesis has been carried even further so as to imply that each color in the opponent pair of unique colors could be identified with either excitation or inhibition of one and the same type of opponent cell.” Webster et al.[30] and Wuerger et al.[31] have conclusively re-affirmed that single cell spectrally opposed responses do not align with unique-hue opponent colours.

In 2013, Pridmore[32] argued that most Red-Green cells reported in the literature in fact code the Red-Cyan colors. Thus, the cells are coding complementary colors instead of opponent colors. Pridmore reported also of Green-Magenta cells in the retina and V1. He thus argued that the Red-Green and Blue-Yellow cells should be instead called "Green-magenta", "Red-cyan" and "Blue-yellow" complementary cells. An example of the complementary process can be experienced by staring at a red (or green) square for forty seconds, and then immediately looking at a white sheet of paper. The observer then perceives a cyan (or magenta) square on the blank sheet. This complementary color afterimage is more easily explained by the trichromatic color theory than the traditional RYB color theory; in the opponent-process theory, fatigue of pathways promoting red produce the illusion of a cyan square.[33]

Combinations of opponent colors[edit]

See also[edit]

References[edit]

  1. ^ Michael Foster (1891). A Text-book of physiology. Lea Bros. & Co. p. 921. Archived from the original on 2017-01-18.
  2. ^ Kandel ER, Schwartz JH and Jessell TM, 2000. Principles of Neural Science, 4th ed., McGraw–Hill, New York. pp. 577–80.
  3. ^ "Goethe's Color Theory". Vision science and the emergence of modern art. Archived from the original on 2008-09-16.
  4. ^ Goethe, Johann (1810). Theory of Colours, paragraph #50.
  5. ^ "Goethe on Colours". The Art-Union. 2 (18): 107. July 15, 1840. Archived from the original on December 21, 2017.
  6. ^ Hering E, 1964. Outlines of a Theory of the Light Sense. Cambridge, Mass: Harvard University Press.
  7. ^ Hurvich, Leo M.; Jameson, Dorothea (November 1957). "An opponent-process theory of color vision". Psychological Review. 64 (6, Part I): 384–404. doi:10.1037/h0041403. PMID 13505974.
  8. ^ Wolfe, Kluender, & Levi, (2009)
  9. ^ Svaetichin, Gunnar; MacNichol, Edward F. (1958). "Retinal Mechanisms for Chromatic and Achromatic Vision". Annals of the New York Academy of Sciences. 74 (2): 385–404. doi:10.1111/j.1749-6632.1958.tb39560.x. ISSN 1749-6632. PMID 13627867.
  10. ^ De Valois, R. L.; Smith, C. J.; Kitai, S. T.; Karoly, A. J. (1958-01-31). "Response of Single Cells in Monkey Lateral Geniculate Nucleus to Monochromatic Light". Science. 127 (3292): 238–239. doi:10.1126/science.127.3292.238. ISSN 0036-8075.
  11. ^ Wiesel, T N; Hubel, D H (November 1966). "Spatial and chromatic interactions in the lateral geniculate body of the rhesus monkey". Journal of Neurophysiology. 29 (6): 1115–1156. doi:10.1152/jn.1966.29.6.1115. ISSN 0022-3077. PMID 4961644.
  12. ^ Wagner, H. G.; MacNichol, E. F.; Wolbarsht, M. L. (1960-04-29). "Opponent Color Responses in Retinal Ganglion Cells". Science. 131 (3409): 1314. doi:10.1126/science.131.3409.1314. ISSN 0036-8075. PMID 17784397.
  13. ^ Naka, K. I.; Rushton, W. A. H. (1966-08-01). "S-potentials from colour units in the retina of fish (Cyprinidae)". The Journal of Physiology. 185 (3): 536–555. doi:10.1113/jphysiol.1966.sp008001. ISSN 0022-3751. PMC 1395833. PMID 5918058.
  14. ^ Daw, N. W. (1967-11-17). "Goldfish Retina: Organization for Simultaneous Color Contrast". Science. 158 (3803): 942–944. doi:10.1126/science.158.3803.942. ISSN 0036-8075.
  15. ^ Byzov, A.L.; Trifonov, Ju.A. (July 1968). "The response to electric stimulation of horizontal cells in the carp retina". Vision Research. 8 (7): 817–822. doi:10.1016/0042-6989(68)90132-6. ISSN 0042-6989.
  16. ^ Gouras, P.; Zrenner, E. (January 1981). "Color coding in primate retina". Vision Research. 21 (11): 1591–1598. doi:10.1016/0042-6989(81)90039-0. ISSN 0042-6989.
  17. ^ Derrington, A M; Krauskopf, J; Lennie, P (1984-12-01). "Chromatic mechanisms in lateral geniculate nucleus of macaque". The Journal of Physiology. 357 (1): 241–265. doi:10.1113/jphysiol.1984.sp015499. ISSN 0022-3751. PMC 1193257.
  18. ^ Reid, R. Clay; Shapley, Robert M. (April 1992). "Spatial structure of cone inputs to receptive fields in primate lateral geniculate nucleus". Nature. 356 (6371): 716–718. doi:10.1038/356716a0. ISSN 0028-0836. PMID 1570016.
  19. ^ Lankheet, Martin J.M.; Lennie, Peter; Krauskopf, John (January 1998). "Distinctive characteristics of subclasses of red–green P-cells in LGN of macaque". Visual Neuroscience. 15 (1). CiteSeerX 10.1.1.553.5684. doi:10.1017/s0952523898151027. ISSN 0952-5238.
  20. ^ Geusebroek, J.-M.; van den Boomgaard, R.; Smeulders, A.W.M.; Geerts, H. (December 2001). "Color invariance". IEEE Transactions on Pattern Analysis and Machine Intelligence. 23 (12): 1338–1350. doi:10.1109/34.977559.
  21. ^ Barghout, Lauren. (2014). "Visual taxometric approach to image segmentation using fuzzy-spatial taxon cut yields contextually relevant regions". Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer International Publishing.
  22. ^ Barghout, Lauren, & Lee, Lawrence. (2004-03-25). Perceptual information processing system. Patent US20040059754.
  23. ^ Barghout, Lauren. (2014). Vision: Global Perceptual Context Changes Local Contrast Processing, Updated to include computer vision techniques. Scholars' Press, (21 February 2014).
  24. ^ Grigg, E. R. N. (1967). Biologic Relativity. Chicago: Amaranth Books.
  25. ^ Solomon, R. L.; Corbit, J. D. (1973). "An Opponent-process theory of motivation: II. Cigarette addiction". Journal of Abnormal Psychology. 81 (2): 158–171. doi:10.1037/h0034534.
  26. ^ Solomon, R. L.; Corbit, J. D. (1974). "An Opponent-process theory of motivation: I. Temporal dynamics of affect". Psychological Review. 81 (2): 119–145. CiteSeerX 10.1.1.468.2548. doi:10.1037/h0036128.
  27. ^ Jameson, Kimberly; D'Andrade, Roy G. (1997), "It's not really red, green, yellow, blue: an inquiry into perceptual color space", Color Categories in Thought and Language, Cambridge University Press, pp. 295–319, doi:10.1017/cbo9780511519819.014, ISBN 9780511519819
  28. ^ De Valois, Russell L.; De Valois, Karen K. (May 1993). "A multi-stage color model". Vision Research. 33 (8): 1053–1065. doi:10.1016/0042-6989(93)90240-w. ISSN 0042-6989.
  29. ^ Valberg, Arne (September 2001). "Corrigendum to "Unique hues: an old problem for a new generation"". Vision Research. 41 (21): 2811. doi:10.1016/s0042-6989(01)00243-7. ISSN 0042-6989.
  30. ^ Webster, Michael A.; Miyahara, Eriko; Malkoc, Gokhan; Raker, Vincent E. (2000-09-01). "Variations in normal color vision II Unique hues". Journal of the Optical Society of America A. 17 (9): 1545. doi:10.1364/josaa.17.001545. ISSN 1084-7529.
  31. ^ Wuerger, Sophie M.; Atkinson, Philip; Cropper, Simon (November 2005). "The cone inputs to the unique-hue mechanisms". Vision Research. 45 (25–26): 3210–3223. doi:10.1016/j.visres.2005.06.016. ISSN 0042-6989. PMID 16087209.
  32. ^ Pridmore, Ralph W. (2012-10-16). "Single cell spectrally opposed responses: opponent colours or complementary colours?". Journal of Optics. 42 (1): 8–18. doi:10.1007/s12596-012-0090-0. ISSN 0972-8821.
  33. ^ Griggs, R. A. (2009). "Sensation and perception". Psychology: A Concise Introduction (2 ed.). Worth Publishers. p. 92. ISBN 978-1-4292-0082-0. OCLC 213815202. color information is processed at the post-receptor cell level (by bipolar, ganglion, thalamic, and cortical cells) according to the opponent-process theory.

Further reading[edit]

  • Baccus, S. A. (2007). "Timing and computation in inner retinal circuitry". Annual Review of Physiology. 69: 271–90. doi:10.1146/annurev.physiol.69.120205.124451. PMID 17059359.
  • Masland, R. H. (2001). "Neuronal diversity in the retina". Current Opinion in Neurobiology. 11 (4): 431–6. doi:10.1016/S0959-4388(00)00230-0. PMID 11502388.
  • Masland, R. H. (2001). "The fundamental plan of the retina". Nature Neuroscience. 4 (9): 877–86. doi:10.1038/nn0901-877. PMID 11528418.
  • Sowden, P. T.; Schyns, P. G. (2006). "Channel surfing in the visual brain". Trends in Cognitive Sciences. 10 (12): 538–45. doi:10.1016/j.tics.2006.10.007. PMID 17071128.
  • Wässle, H. (2004). "Parallel processing in the mammalian retina". Nature Reviews Neuroscience. 5 (10): 747–57. doi:10.1038/nrn1497. PMID 15378035.
  • Manzotti, R. (2017). A Perception-Based Model of Complementary Afterimages. SAGE Open,7(1), 215824401668247. doi:10.1177/2158244016682478
  • Yurtoğlu, N. (2018). Http://www.historystudies.net/dergi//birinci-dunya-savasinda-bir-asayis-sorunu-sebinkarahisar-ermeni-isyani20181092a4a8f.pdf. History Studies International Journal of History,10(7), 241-264. doi:10.9737/hist.2018.658
  • Brogaard, B., & Gatzia, D. E. (2016). Cortical Color and the Cognitive Sciences. Topics in Cognitive Science,9(1), 135-150. doi:10.1111/tops.12241