MadSci Network: Neuroscience
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Re: How exactly do optical illusions work?

Date: Wed Mar 17 22:45:29 1999
Posted By: S. A. Ruest, Grad student, BioMedical Technologies, MGH Institute
Area of science: Neuroscience
ID: 920667497.Ns
Message:

Many of the visual illusions are characterized by misperception of size. Example of two of the better known size illusions are the Muller-Lyer illusion and the Ponzo illusion . In each case, one portion of the figure appears larger than its partner, even though they are both identical in size. Almost everyone experiences these size illusions and always in the same way. For over a century, psychologists have been fascinated by these illusions and have focused a great deal of research on testing various theories concerning their origins (A good summary of these theories is Coren and Girgus, 1978).

The most popular theory of size illusions attributes errors in perceived size to the operation of monocular cues (Gregory 1970). Let's call this the depth theory. Consider the Muller-Lyer illusion, according to the depth theory, the arrowheads on the ends of the horizontal lines can be seen as angles formed by two intersecting surfaces. The horizontal line represents the point of intersection, or the corner formed by two surfaces. When the arrowheads point outward, the two surfaces are seen as slanted toward you; when they point inward, the surfaces are seen as receding away from you. According to the depth theory, because of the perspective cues supplied by the arrowheads, the receding corner appears farther away than the approaching corner. At the same time, the retinal images of the two corners are identical in size. Now there is only one way objects at different distances can cast images of equal size: the farther object must be larger. The depth theory attributes size illusion to errors in perceived distance (Gregory 1970). The theory is based on the observation that perceived size remains constant despite differences in distance from the viewer and, hence, changes in the size of the retinal image cast. In other words, perceived size is scaled in terms of perceived distance, a process known as size constancy. We call size constancy a scaling process because one unit of measure (retinal image size) is converted, or scaled, into another (perceived size). Because the retina of the eye is mapped onto the visual cortex in a distorted manner; the number of cortical cells devoted to a given region of the retina varies with retinal eccentricity. The central retinal area, especially the fovea, commands a disproportionately large number of cortical cells. This means, for instance, that a vertical line of constant length engages fewer and fewer cortical cells as it is imaged farther and farther into the periphery of the retina. This relation between retinal eccentricity and number of affected cortical cells defines cortical magnification, which plays a key role in size constancy. For example, Road maps typically include scales that transform centimeters into kilometers; similarly, the visual system contains a mechanism that scales image size into object size. Without size scaling, one would always be confused about the height of people, the width of doorways, the size of cars, and so on. Size constancy seems to occur automatically. This is evidenced by the fact that people are rarely aware of the size of their retinal image.

At present, it can only be guessed how the visual system actually performs this scaling process of size constancy. Visual neurons, don't exhibit the properties required of such a process. These neurons do encode size information, by virtue of the limited spatial extent of their receptive fields. But this information refers to the size of the retina, not the invariant size of the object itself. If at all involved in size perception, the activity of these neurons must somehow be integrated with depth information before size constancy can be realized. At best, the connection between illusion and size constancy may involve a more global, or widespread, neuronal operation that transcends individual neurons.

References

Coren, S and Girgus, J.S (1978) Visual Illusion Handbook of Sensory physiology, vol 8. Berlin

Gregory, R. L. (1970) The intelligent eye. New york: Mcgraw-Hill

Schwartz, E. L. (1980) Computational anatomy and functional architecture of striate cortex. Vision Research, 20, 645-669


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