Perceptual paradox

A Perceptual paradox illustrates the failure of a theoretical prediction. Theories of perception are supposed to help a researcher predict what will be perceived when senses are stimulated.

A theory usually comprises a Mathematical model (formula), rules for collecting physical measurements for input into the model, and rules for collecting physical measurements to which model outputs should map. When arbitrarily choosing valid input data, the model should reliably generate output data that is indistinguishable from that which is measured in the system being modeled.

Although each theory may be useful for some limited predictions, theories of vision, hearing, touch, smell, and taste are not typically reliable for comprehensive modeling of perception based on sensory inputs. A paradox illustrates where a theoretical prediction fails. Sometimes, even in the absence of a predictive theory, the characteristics of perception seem nonsensical.

This page lists some paradoxes and seemingly impossible properties of perception. When an animal is not named in connection with the discussion, human perception should be assumed since the majority of perceptual research data applies to humans.

Terminology

 * $$SUN_{white}$$ light: Normal white sunlight is black-body radiation containing a broad and largely featureless spectrum covering the entire range of human vision.
 * $$RGB_{white}$$ light: Televisions and computer screens fool the eye by generating photons of three narrow wavelength bands where the proportion of photons from industry standard (but improperly named) R (red), G (green), and B (blue) sources is known to be perceived as white.

Definition
A perceptual paradox, in its purest form is a statement illustrating the failure of a formula to predict what we perceive from what our senses transduce.

A seemingly nonsensical characteristic is a statement of factual observation that is sufficiently intractable that no theory has been proposed to account for it.

Mathematical modeling
One branch of research into perception attempts to explain what we perceive by applying formulae to sensory inputs and expecting outputs similar to that which we perceive. For example: what we measure with our eyes should be predicted by applying formulae to what we measure with instruments that imitate our eye.

Past researchers have made formulae that predict some, but not all, perceptual phenomena from their sensory origins. Modern researchers continue to make formulae to overcome the shortcomings of earlier formulae.

Some formulae are carefully constructed to mimic actual structures and functions of sensory mechanisms. Other formulae are constructed by great leaps of faith about similarity in mathematical curves.

No perceptual formulae have been raised to the status of "natural law" in the way that the laws of gravitation and electrical attraction have. So, perceptual formulae continue to be an active area of development as scientists strive towards the great insight required of a law.

History
Some Nobel laureates have paved the way with clear statements of good practice:

In the preface to his Histology Santiago Ramón y Cajal wrote that "Practitioners will only be able to claim that a valid explanation of a histological observation has been provided if three questions can be answered satisfactorily: what is the functional role of the arrangement in the animal; what mechanisms underlie this function; and what sequence of chemical and mechanical events during evolution and development gave rise to these mechanisms?"

Allvar Gullstrand described the problems that arise when approaching the optics of the eye as if they were as predictable as camera optics.

Charles Scott Sherrington, considered the brain to be the "crowning achievement of the reflex system", (which can be interpreted as opening all aspects of perception to simple formulae expressed over complex distributions).

Sensory Observations

 * See:Visual
 * Hear:Auditory
 * Touch:Tactile
 * Smell:Olfactory
 * Taste:Gustatory
 * Electric

Perceptual Observations

 * See:Visual
 * Hear:Auditory
 * Touch:Tactile
 * Smell:Olfactory
 * Taste:Gustatory
 * Electric

See:Visual
Contrast Invariance

Boundaries between brighter and darker areas appear to remain of constant relative contrast when the ratio of logarithms of the two intensities remains constant:

$$Contrast \propto \frac{log I_a}{log I_b}$$

But the use of logarithms is forbidden for values that can become zero such as $$I_a\,$$, and division is forbidden by values that can become zero such as $$log I_b\,$$.

No published neuroanatomical model predicts the perception of contrast invariance.

10 Decade Transduction

Local Contrast

Color Constancy

When observing objects in a scene, colors appears constant. An apple looks red regardless of where it is viewed. In bright direct sunshine, under a blue sky with the sun obscured, during a colorful sunset, under a canopy of green leaves, and even under most man-made light sources, the color of the apple remains unchanging.

Color perception appears to be independent of light wavelength. Edwin Land demonstrated this by illuminating a room with two wavelengths of light of approximately 500nm and 520nm (both improperly called "green"). The room was perceived in full color, with all colors appearing unattenuated, like red, orange, yellow, blue, and purple, despite the absence of photons other than two close to 510nm. Note that $$RGB_{white}$$ light misuses the terminology RGB since color is a perception and there are no such things as Red, Green, or Blue photons.

Jerome Lettvin wrote an article in the Scientific American illustrating the importance of boundaries and vertices in the perception of color.

Yet, no published formula predicts the perceived color of objects in a single image of arbitrary scene illumination.

Transverse Chromatic Deaberration

Light that goes through a simple lens such as found in an eye undergoes refraction, splitting colors. An $$RGB_{white}$$ point-source that is off-center to the eye projects to a pattern where with color separation along a line radial to the central axis of the eye. The color separation can be many photoreceptors wide.

Yet, an $$RGB_{white}$$ pixel on a television or computer screen appears white even when seen sidelong.

No published neuroanatomical model predicts the perception of the eccentric white pixel.

Longitudinal Chromatic Deaberration

As in Transverse Chromatic Deaberration, color splitting projects also projects the R, G, and B components of the $$RGB_{white}$$ pixel to different focal lengths, resulting in a bulls-eye-like color distribution of light even at the center of vision.

No published neuroanatomical model predicts the perception of the centered white pixel.

Spherical Deaberration

Eyes have corneas and lenses that are imperfectly spherical. This inhomogeneous shape results in a non-circular distribution of photons on the retina.

No published neuroanatomical model predicts the perception of the non-circularly distributed white pixel.

Hyperacuity

People report discrimination much finer than can be predicted by interpolating sense data between photosensors. High performing hyperacute vision in some people has been measured to less than a tenth the radius of a single photoreceptor. Among measures of hyperacuity are the vernier discrimination of two adjacent lines and the discrimination of two stars in a night sky.

No published neuroanatomical model predicts the discrimination of the two white pixels closer together than a single photoreceptor.

Pupil Size Inversion

When pupils are narrowed to around 1mm for reading fine print, the size of the central "Airy" disk increases to a diameter of 10 photoreceptors. The so-called "blur" is increased for reading. When pupils are widened for fight/flight response, the size of the central "Airy" disk decreases to a diameter of about 1.5 photoreceptors. The so-called "blur" is decreased in anticipation of large movements.

No published neuroanatomical model predicts that discrimination improves when pupils are narrowed.

Pupil Shape Inversion

Eyes have pupils (apertures) that cause diffraction. A point-source of light is distributed on the retina. The distribution for a perfectly circular aperture is known by the name "Airy rings".

Human pupils are rarely perfectly circular. Cat pupils range from almost circular to a vertical slit. Goat pupils tend to be horizontal rectangular with rounded corners. Gecko pupils range from circular, to a slit, to a series of pinholes. Cuttlefish pupils have complex shapes.

No published neuroanatomical model predicts the perception of the various pupil shape distributed white pixel.