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MIT Encyclopedia of the Cognitive Sciences - Cryptome

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472 Limbic System<br />

Figure 2. Lightness could not be based on local edge ratios unless<br />

<strong>the</strong> edges were first classified. (After Adelson 1993.)<br />

account <strong>of</strong> our perception <strong>of</strong> <strong>the</strong> illumination, not just <strong>of</strong><br />

surface lightness.<br />

3. Computing absolute or specific shades <strong>of</strong> gray<br />

requires an anchoring rule, a rule that ties some locus on <strong>the</strong><br />

scale <strong>of</strong> perceived grays to some feature <strong>of</strong> <strong>the</strong> retinal<br />

image. One candidate rule, endorsed by Wallach (1948) and<br />

by Land and McCann (1971), says that <strong>the</strong> highest luminance<br />

is white, with lower luminances scaled relative to this<br />

standard. An alternative rule, implicit in concepts like <strong>the</strong><br />

gray world assumption and Helson’s adaptation-level <strong>the</strong>ory<br />

(1964), says that <strong>the</strong> average luminance is middle gray, with<br />

higher and lower values scaled relative to <strong>the</strong> average. When<br />

<strong>the</strong>se rules are tested by presenting a display consisting <strong>of</strong> a<br />

very restricted range <strong>of</strong> grays, it is found that <strong>the</strong> highest<br />

luminance appears white, but <strong>the</strong> average does not appear<br />

middle gray (Cataliotti and Gilchrist 1995; Li and Gilchrist<br />

in press). But relative area also plays an important role. An<br />

increase in <strong>the</strong> area <strong>of</strong> <strong>the</strong> darker regions at <strong>the</strong> expense <strong>of</strong><br />

<strong>the</strong> lighter causes <strong>the</strong> darker regions to lighten in gray value<br />

and <strong>the</strong> lightest region to appear self-luminous.<br />

These rules <strong>of</strong> anchoring by highest luminance and relative<br />

area apply to both simple visual displays and to frameworks<br />

or groups embedded within complex images. In<br />

complex images, however, perceived lightness can be predicted<br />

by a compromise between lightness values computed<br />

within <strong>the</strong>se relatively local frameworks and lightness values<br />

computed across <strong>the</strong> entire visual field. The weighting<br />

in this compromise increasingly shifts to <strong>the</strong> local framework<br />

as that becomes larger and more highly articulated. If<br />

<strong>the</strong> study <strong>of</strong> anchoring has undermined <strong>the</strong> portrait <strong>of</strong> a<br />

highly ratiomorphic lightness computation recovering veridical<br />

values <strong>of</strong> reflectance and illumination, it has never<strong>the</strong>less<br />

provided a remarkable account <strong>of</strong> perceptual errors.<br />

Emerging anchoring models portray a more rough-andready<br />

system (see MID-LEVEL VISION) that, while subject to<br />

apparently unnecessary errors, is never<strong>the</strong>less quite robust<br />

in <strong>the</strong> face <strong>of</strong> a wide variety <strong>of</strong> challenges to perceptual veridicality.<br />

See also COLOR VISION; DEPTH PERCEPTION; GESTALT<br />

PERCEPTION; STEREO AND MOTION PERCEPTION; TEXTURE;<br />

TRANSPARENCY<br />

—Alan Gilchrist<br />

References<br />

Adelson, E. (1993). Perceptual organization and <strong>the</strong> judgment <strong>of</strong><br />

brightness. Science 262: 2042–2044.<br />

Arend, L. E., J. N. Buehler, and G. R. Lockhead. (1971). Difference<br />

information in brightness perception. Perception and Psychophysics<br />

9: 367–370.<br />

Bergström, S. S. (1977). Common and relative components <strong>of</strong><br />

reflected light as information about <strong>the</strong> illumination, colour,<br />

and three-dimensional form <strong>of</strong> objects. Scandinavian Journal<br />

<strong>of</strong> Psychology 18: 180–186.<br />

Cataliotti, J., and A. L. Gilchrist. (1995). Local and global processes<br />

in lightness perception. Perception and Psychophysics<br />

57(2): 125–135.<br />

Cornsweet, T. N. (1970). Visual Perception. New York: Academic<br />

Press.<br />

Gilchrist, A. (1979). The perception <strong>of</strong> surface blacks and whites.<br />

Scientific American 240: 112–123.<br />

Gilchrist, A. (1988). Lightness contrast and failures <strong>of</strong> constancy: a<br />

common explanation. Perception and Psychophysics 43(5):<br />

415–424.<br />

Helmholtz, H. von. (1866/1924). Helmholtz’s Treatise on Physiological<br />

Optics. New York: Optical Society <strong>of</strong> America.<br />

Helson, H. (1964). Adaptation-Level Theory. New York: Harper<br />

and Row.<br />

Hurvich, L., and D. Jameson. (1966). The Perception <strong>of</strong> Brightness<br />

and Darkness. Boston: Allyn and Bacon.<br />

Land, E. H., and J. J. McCann. (1971). Lightness and retinex <strong>the</strong>ory.<br />

Journal <strong>of</strong> <strong>the</strong> Optical Society <strong>of</strong> America 61: 1–11.<br />

Li, X., and A. Gilchrist. (Forthcoming). Relative area and relative<br />

luminance combine to anchor surface lightness values. Perception<br />

and Psychophysics.<br />

Wallach, H. (1948). Brightness constancy and <strong>the</strong> nature <strong>of</strong> achromatic<br />

colors. Journal <strong>of</strong> Experimental Psychology 38: 310–324.<br />

Whittle, P., and P. D. C. Challands. (1969). The effect <strong>of</strong> background<br />

luminance on <strong>the</strong> brightness <strong>of</strong> flashes. Vision Research<br />

9: 1095–1110.<br />

Fur<strong>the</strong>r Readings<br />

Gilchrist, A., Ed. (1994). Lightness, Brightness, and Transparency.<br />

Hillsdale, NJ: Erlbaum.<br />

Gilchrist, A., C. Kossyfidis, F. Bonato, T. Agostini, J. Cataliotti, X.<br />

Li, B. Spehar, V. Annan, and E. Economou. (Forthcoming). An<br />

anchoring <strong>the</strong>ory <strong>of</strong> lightness perception. Psychological<br />

Review.<br />

Hurlbert, A. (1986). Formal connections between lightness algorithms.<br />

Journal <strong>of</strong> <strong>the</strong> Optical Society <strong>of</strong> America A. Optics and<br />

Image Science 3: 1684–1693.<br />

K<strong>of</strong>fka, K. (1935). Principles <strong>of</strong> Gestalt Psychology. New York:<br />

Harcourt, Brace, and World, pp. 240–264.<br />

MacLeod, R. B. (1932). An experimental investigation <strong>of</strong> brightness<br />

constancy. Archives <strong>of</strong> Psychology 135: 5–102.<br />

Wallach, H. (1976). On Perception. New York: Quadrangle/The<br />

New York Times Book Co.<br />

Limbic System<br />

Much as o<strong>the</strong>r systems with a historic origin (e.g., <strong>the</strong> reticular<br />

system), <strong>the</strong> limbic system (LS) is difficult to define as<br />

it has gone through numerous modifications, adaptations,<br />

refinements, and expansions during <strong>the</strong> more than 100 years<br />

<strong>of</strong> its existence. Fur<strong>the</strong>rmore, problems with its description<br />

arise from <strong>the</strong> facts that it is frequently composed <strong>of</strong> only

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