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Optical illusion
Optical illusion
from Wikipedia

The checker shadow illusion. Although square A appears a darker shade of gray than square B, in the image the two have exactly the same luminance.
Drawing a connecting bar between the two squares breaks the illusion and shows that they are the same shade.
Gregory's categorization of illusions[1]
In this animation, Mach bands exaggerate the contrast between edges of the slightly differing shades of gray as soon as they come in contact with one another.

In visual perception, an optical illusion (also called a visual illusion[2]) is an illusion caused by the visual system and characterized by a visual percept that arguably appears to differ from reality. Illusions come in a wide variety; their categorization is difficult because the underlying cause is often not clear[3] but a classification[1][4] proposed by Richard Gregory is useful as an orientation. According to that, there are three main classes: physical, physiological, and cognitive illusions, and in each class there are four kinds: Ambiguities, distortions, paradoxes, and fictions.[4] A classical example for a physical distortion would be the apparent bending of a stick half immersed in water; an example for a physiological paradox is the motion aftereffect (where, despite movement, position remains unchanged).[4] An example for a physiological fiction is an afterimage.[4] Three typical cognitive distortions are the Ponzo, Poggendorff, and Müller-Lyer illusion.[4] Cognitive visual illusions are the result of unconscious inferences and are perhaps those most widely known.[4]

Pathological visual illusions arise from pathological changes in the physiological visual perception mechanisms causing the aforementioned types of illusions; they are discussed e.g. under visual hallucinations.

Optical illusions, as well as multi-sensory illusions involving visual perception, can also be used in the monitoring and rehabilitation of some psychological disorders, including phantom limb syndrome[5] and schizophrenia.[6]

Physical visual illusions

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A familiar phenomenon and example for a physical visual illusion is when mountains appear to be much nearer in clear weather with low humidity (Foehn) than they are. This is because haze is a cue for depth perception,[7] signalling the distance of far-away objects (Aerial perspective).

The classical example of a physical illusion is when a stick that is half immersed in water appears bent. This phenomenon was discussed by Ptolemy (c. 150)[8] and was often a prototypical example for an illusion.

Physiological visual illusions

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Physiological illusions, such as the afterimages[9] following bright lights, or adapting stimuli of excessively longer alternating patterns (contingent perceptual aftereffect), are presumed to be the effects on the eyes or brain of excessive stimulation or interaction with contextual or competing stimuli of a specific type—brightness, color, position, tile, size, movement, etc. The theory is that a stimulus follows its individual dedicated neural path in the early stages of visual processing and that intense or repetitive activity in that or interaction with active adjoining channels causes a physiological imbalance that alters perception.

The Hermann grid illusion and Mach bands are two illusions that are often explained using a biological approach. Lateral inhibition, where in receptive fields of the retina receptor signals from light and dark areas compete with one another, has been used to explain why we see bands of increased brightness at the edge of a color difference when viewing Mach bands. Once a receptor is active, it inhibits adjacent receptors. This inhibition creates contrast, highlighting edges. In the Hermann grid illusion, the gray spots that appear at the intersections at peripheral locations are often explained to occur because of lateral inhibition by the surround in larger receptive fields.[10] However, lateral inhibition as an explanation of the Hermann grid illusion has been disproved.[11][12][13][14][15] More recent empirical approaches to optical illusions have had some success in explaining optical phenomena with which theories based on lateral inhibition have struggled.[16]

Cognitive illusions

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"The Organ Player" – Pareidolia phenomenon in Neptune's Grotto stalactite cave (Alghero, Sardinia)

Cognitive illusions are assumed to arise by interaction with assumptions about the world, leading to "unconscious inferences", an idea first suggested in the 19th century by the German physicist and physician Hermann Helmholtz.[17] Cognitive illusions are commonly divided into ambiguous illusions, distorting illusions, paradox illusions, or fiction illusions.

Specific examples of typical cognitive illusions include:

  • The Ponzo illusion, where two parallel lines of the same length appear to be different sizes due to their placement within converging lines that create a false sense of depth.
  • The Poggendorff illusion, where two straight lines partially obsecured by an intervening shape, typically a rectangle, appears misaligned when, in fact, they are collinear.
  • The Müller-Lyer illusion, where two lines of the same length appear to be different lengths due to the outward or inward pointing arrow-like fins attached to their ends.[4]

Explanation of cognitive illusions

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Perceptual organization

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Reversible figures and vase, or the figure-ground illusion
Rabbit–duck illusion

To make sense of the world it is necessary to organize incoming sensations into information which is meaningful. Gestalt psychologists believe one way this is done is by perceiving individual sensory stimuli as a meaningful whole.[21] Gestalt organization can be used to explain many illusions including the rabbit–duck illusion where the image as a whole switches back and forth from being a duck then being a rabbit and why in the figure–ground illusion the figure and ground are reversible.[citation needed]

In this there is no "Drawn" White Triangle. Click caption for an explanation.
Kanizsa's triangle

In addition, gestalt theory can be used to explain the illusory contours in the Kanizsa's triangle. A floating white triangle, which does not exist, is seen. The brain has a need to see familiar simple objects and has a tendency to create a "whole" image from individual elements.[21] Gestalt means "form" or "shape" in German. However, another explanation of the Kanizsa's triangle is based in evolutionary psychology and the fact that in order to survive it was important to see form and edges. The use of perceptual organization to create meaning out of stimuli is the principle behind other well-known illusions including impossible objects. The brain makes sense of shapes and symbols putting them together like a jigsaw puzzle, formulating that which is not there to that which is believable.[citation needed]

The gestalt principles of perception govern the way different objects are grouped. Good form is where the perceptual system tries to fill in the blanks in order to see simple objects rather than complex objects. Continuity is where the perceptual system tries to disambiguate which segments fit together into continuous lines. Proximity is where objects that are close together are associated. Similarity is where objects that are similar are seen as associated. Some of these elements have been successfully incorporated into quantitative models involving optimal estimation or Bayesian inference.[22][23]

The double-anchoring theory, a popular but recent theory of lightness illusions, states that any region belongs to one or more frameworks, created by gestalt grouping principles, and within each frame is independently anchored to both the highest luminance and the surround luminance. A spot's lightness is determined by the average of the values computed in each framework.[24]

Monocular depth and motion perception

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The vertical–horizontal illusion where the vertical line is thought to be longer than the horizontal
The Yellow lines are the same length. Click on the name at bottom of picture for an explanation.
Ponzo illusion

Illusions can be based on an individual's ability to see in three dimensions even though the image hitting the retina is only two dimensional. The Ponzo illusion is an example of an illusion which uses monocular cues of depth perception to fool the eye. But even with two-dimensional images, the brain exaggerates vertical distances when compared with horizontal distances, as in the vertical–horizontal illusion where the two lines are exactly the same length.

In the Ponzo illusion the converging parallel lines tell the brain that the image higher in the visual field is farther away, therefore, the brain perceives the image to be larger, although the two images hitting the retina are the same size. The optical illusion seen in a diorama/false perspective also exploits assumptions based on monocular cues of depth perception. The M.C. Escher painting Waterfall exploits rules of depth and proximity and our understanding of the physical world to create an illusion. Like depth perception, motion perception is responsible for a number of sensory illusions. Film animation is based on the illusion that the brain perceives a series of slightly varied images produced in rapid succession as a moving picture. Likewise, when we are moving, as we would be while riding in a vehicle, stable surrounding objects may appear to move. We may also perceive a large object, like an airplane, to move more slowly than smaller objects, like a car, although the larger object is actually moving faster. The phi phenomenon is yet another example of how the brain perceives motion, which is most often created by blinking lights in close succession.

The ambiguity of direction of motion due to lack of visual references for depth is shown in the spinning dancer illusion. The spinning dancer appears to be moving clockwise or counterclockwise depending on spontaneous activity in the brain where perception is subjective. Recent studies show on the fMRI that there are spontaneous fluctuations in cortical activity while watching this illusion, particularly the parietal lobe because it is involved in perceiving movement.[25]

Binocular illusions

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Illusions in binocular vision refer to situations which are exclusive for binocular viewing.

Illusory disparities

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Binocular depth information is abstracted from binocular disparities. In general this information is more trustworthy than monocular depth information.

Disparity illusion

Two identical objects behind each other have the same retinal images as two similar objects next to each other. At a small distance between A and B the brain chooses to see option C,D. This results in an illusion if the real objects are present at positions A,B and not at C,D (double-nail illusion).

This illusion illustrates binocular ghost images and has many Variants and conflicts with tactile, motor and monocular cues (multi-modal illusion).

Edge detection

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Midsagittal-strip illusion. In 3D plane CD is seen, AB is not.

When a thin object like a razor blade is held in the midsagittal plane, then it is seen at a right angle to the viewing direction (Midsagittal-strip illusion).

This illusion suggests that the visual system detects the disparity of edges (rims) with equal contrast sign only.

Depth of surfaces

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Ambiguous surfaces in 3D: cone vs disc

When a black disc is present hovering in front of a white disc, then this can be perceived as it physically is, or as a truncated white cone. If a physical white cone with a black top is presented, then this can be perceived as it physically is, or as a black disc hovering above a white disc. In other words, the observer cannot distinguish between seeing a disc on a pin above a white background, and a white truncated cone with a black top-plane (Ambiguous 3D-surfaces).

This illusion suggests that the visual system detects the disparity (depth) of equal-sign edges and fills in the orientation of surfaces in between.

Delayed signals

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A denotes the actual position of the pendule, A′ its previous position (as perceived by the darkened eye) and A* its apparent position; similarly for B and C.

When viewing the swinging movement of the rain wiper of a car, and holding a grey filter or dark sunglass in front of one of the eyes, the pendulum appears to make an elliptical movement in depth. It even appears to move through the glass. (Pulfrich illusion).

This is suggests that the signals of the covered eye are processed with a delay.

Interaction with monocular depth cues

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When stereoimages are swapped (pseudoscopy) binocular depth is inversed and conflicts with monocular depth cues. Perceived depth appears to correspond with the inversed disparity, but the apparent size of objects looks different. Nearby objects appear bigger and far objects appear smaller than normal.

Color and brightness constancies

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Simultaneous contrast illusion. The background is a color gradient and progresses from dark gray to light gray. The horizontal bar appears to progress from light grey to dark grey, but is in fact just one color.

Perceptual constancies are sources of illusions. Color constancy and brightness constancy are responsible for the fact that a familiar object will appear the same color regardless of the amount of light or color of light reflecting from it. An illusion of color difference or luminosity difference can be created when the luminosity or color of the area surrounding an unfamiliar object is changed. The luminosity of the object will appear brighter against a black field (that reflects less light) than against a white field, even though the object itself did not change in luminosity. Similarly, the eye will compensate for color contrast depending on the color cast of the surrounding area.

In addition to the gestalt principles of perception, water-color illusions contribute to the formation of optical illusions. Water-color illusions consist of object-hole effects and coloration. Object-hole effects occur when boundaries are prominent where there is a figure and background with a hole that is 3D volumetric in appearance. Coloration consists of an assimilation of color radiating from a thin-colored edge lining a darker chromatic contour. The water-color illusion describes how the human mind perceives the wholeness of an object such as top-down processing. Thus, contextual factors play into perceiving the brightness of an object.[26]

Object

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"Shepard tables" deconstructed. The two tabletops appear to be different, but they are the same size and shape.

Just as it perceives color and brightness constancies, the brain has the ability to understand familiar objects as having a consistent shape or size. For example, a door is perceived as a rectangle regardless of how the image may change on the retina as the door is opened and closed. Unfamiliar objects, however, do not always follow the rules of shape constancy and may change when the perspective is changed. The Shepard tables illusion[27] is an example of an illusion based on distortions in shape constancy.

Future perception

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[dubiousdiscuss]

Researcher Mark Changizi of Rensselaer Polytechnic Institute in New York has a more imaginative take on optical illusions, saying that they are due to a neural lag which most humans experience while awake. When light hits the retina, about one-tenth of a second goes by before the brain translates the signal into a visual perception of the world. Scientists have known of the lag, yet they have debated how humans compensate, with some proposing that our motor system somehow modifies our movements to offset the delay.[28]

Changizi asserts that the human visual system has evolved to compensate for neural delays by generating images of what will occur one-tenth of a second into the future. This foresight enables humans to react to events in the present, enabling humans to perform reflexive acts like catching a fly ball and to maneuver smoothly through a crowd.[29] In an interview with ABC Changizi said, "Illusions occur when our brains attempt to perceive the future, and those perceptions don't match reality."[30] For example, an illusion called the Hering illusion looks like bicycle spokes around a central point, with vertical lines on either side of this central, so-called vanishing point.[31] The illusion tricks us into thinking we are looking at a perspective picture, and thus according to Changizi, switches on our future-seeing abilities. Since we are not actually moving and the figure is static, we misperceive the straight lines as curved ones. Changizi said:

Evolution has seen to it that geometric drawings like this elicit in us premonitions of the near future. The converging lines toward a vanishing point (the spokes) are cues that trick our brains into thinking we are moving forward—as we would in the real world, where the door frame (a pair of vertical lines) seems to bow out as we move through it—and we try to perceive what that world will look like in the next instant.[29]

Pathological visual illusions (distortions)

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A pathological visual illusion is a distortion of a real external stimulus[32] and is often diffuse and persistent. Pathological visual illusions usually occur throughout the visual field, suggesting global excitability or sensitivity alterations.[33] Alternatively visual hallucination is the perception of an external visual stimulus where none exists.[32] Visual hallucinations are often from focal dysfunction and are usually transient.

Types of visual illusions include oscillopsia, halos around objects, illusory palinopsia (visual trailing, light streaking, prolonged indistinct afterimages), akinetopsia, visual snow, micropsia, macropsia, teleopsia, pelopsia, metamorphopsia, dyschromatopsia, intense glare, blue field entoptic phenomenon, and purkinje trees.

These symptoms may indicate an underlying disease state and necessitate seeing a medical practitioner. Etiologies associated with pathological visual illusions include multiple types of ocular disease, migraines, hallucinogen persisting perception disorder, head trauma, and prescription drugs. If a medical work-up does not reveal a cause of the pathological visual illusions, the idiopathic visual disturbances could be analogous to the altered excitability state seen in visual aura with no migraine headache. If the visual illusions are diffuse and persistent, they often affect the patient's quality of life. These symptoms are often refractory to treatment and may be caused by any of the aforementioned etiologies, but are often idiopathic. There is no standard treatment for these visual disturbances.

Connections to psychological disorders

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The rubber hand illusion (RHI)

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A visual representation of what an amputee with phantom limb syndrome senses

The rubber hand illusion (RHI), a multi-sensory illusion involving both visual perception and touch, has been used to study how phantom limb syndrome affects amputees over time.[5] Amputees with the syndrome actually responded to RHI more strongly than controls, an effect that was often consistent for both the sides of the intact and the amputated arm.[5] However, in some studies, amputees actually had stronger responses to RHI on their intact arm, and more recent amputees responded to the illusion better than amputees who had been missing an arm for years or more.[5] Researchers believe this is a sign that the body schema, or an individual's sense of their own body and its parts, progressively adapts to the post-amputation state.[5] Essentially, the amputees were learning to no longer respond to sensations near what had once been their arm.[5] As a result, many have suggested the use of RHI as a tool for monitoring an amputee's progress in reducing their phantom limb sensations and adjusting to the new state of their body.[5]

Other research used RHI in the rehabilitation of amputees with prosthetic limbs.[34] After prolonged exposure to RHI, the amputees gradually stopped feeling a dissociation between the prosthetic (which resembled the rubber hand) and the rest of their body.[34] This was thought to be because they adjusted to responding to and moving a limb that did not feel as connected to the rest of their body or senses.[34]

RHI may also be used to diagnose certain disorders related to impaired proprioception or impaired sense of touch in non-amputees.[34]

Illusions and schizophrenia

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Top-down processing involves using action plans to make perceptual interpretations and vice versa. (This is impaired in schizophrenia.)

Schizophrenia, a mental disorder often marked by hallucinations, also decreases a person's ability to perceive high-order optical illusions.[6] This is because schizophrenia impairs one's capacity to perform top-down processing and a higher-level integration of visual information beyond the primary visual cortex, V1.[6] Understanding how this specifically occurs in the brain may help in understanding how visual distortions, beyond imaginary hallucinations, affect schizophrenic patients.[6] Additionally, evaluating the differences between how schizophrenic patients and unaffected individuals see illusions may enable researchers to better identify where specific illusions are processed in the visual streams.[6]

An example of the peripheral drift illusion: alternating lines appear to be moving horizontally left or right.
An example of the hollow face illusion which makes concave masks appear to be jutting out (or convex)
An example of motion induced blindness: while fixating on the flashing dot, the stationary dots may disappear due to the brain prioritizing motion information. This is called the Troxler Effect.

One study on schizophrenic patients found that they were extremely unlikely to be fooled by a three dimensional optical illusion, the hollow face illusion, unlike non-affected volunteers.[35] Based on fMRI data, researchers concluded that this resulted from a disconnection between their systems for bottom-up processing of visual cues and top-down interpretations of those cues in the parietal cortex.[35] In another study on the motion-induced blindness (MIB) illusion (pictured right), schizophrenic patients continued to perceive stationary visual targets even when observing distracting motion stimuli, unlike non schizophrenic controls, who experienced motion induced blindness.[36] The schizophrenic test subjects demonstrated impaired cognitive organization, meaning they were less able to coordinate their processing of motion cues and stationary image cues.[36]

In art

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Artists who have worked with optical illusions include M. C. Escher,[37] Bridget Riley, Salvador Dalí, Giuseppe Arcimboldo, Patrick Bokanowski, Marcel Duchamp, Jasper Johns, Oscar Reutersvärd, Victor Vasarely and Charles Allan Gilbert. Contemporary artists who have experimented with illusions include Jonty Hurwitz, Sandro del Prete, Octavio Ocampo, Dick Termes, Shigeo Fukuda, Patrick Hughes, István Orosz, Rob Gonsalves, Gianni A. Sarcone, Ben Heine and Akiyoshi Kitaoka. Optical illusion is also used in film by the technique of forced perspective.

Op art is a style of art that uses optical illusions to create an impression of movement, or hidden images and patterns. Trompe-l'œil uses realistic imagery to create the optical illusion that depicted objects exist in three dimensions.

Tourists attractions employing large-scale illusory art allowing visitors to photograph themselves in fantastic scenes have opened in several Asian countries, such as the Trickeye Museum and Hong Kong 3D Museum.[38][39]

Cognitive processes hypothesis

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The hypothesis claims that visual illusions occur because the neural circuitry in our visual system evolves, by neural learning, to a system that makes very efficient interpretations of usual 3D scenes based in the emergence of simplified models in our brain that speed up the interpretation process but give rise to optical illusions in unusual situations. In this sense, the cognitive processes hypothesis can be considered a framework for an understanding of optical illusions as the signature of the empirical statistical way vision has evolved to solve the inverse problem.[40]

Research indicates that 3D vision capabilities emerge and are learned jointly with the planning of movements.[41] That is, as depth cues are better perceived, individuals can develop more efficient patterns of movement and interaction within the 3D environment around them.[41] After a long process of learning, an internal representation of the world emerges that is well-adjusted to the perceived data coming from closer objects. The representation of distant objects near the horizon is less "adequate".[further explanation needed] In fact, it is not only the Moon that seems larger when we perceive it near the horizon. In a photo of a distant scene, all distant objects are perceived as smaller than when we observe them directly using our vision.

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See also

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Media related to Optical illusion at Wikimedia Commons

Notes

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
An optical illusion is a visually perceived or that differs from objective , tricking the eyes and into misinterpreting sensory input. These illusions arise from discrepancies between the physical stimulus and the 's perceptual processing, influenced by factors such as attention and expectations, current mood or emotional state, prior experience, and age, involving regions like the visual cortex and prefrontal cortex for integrating sensory input and switching between interpretations, often highlighting the constructive nature of vision where the fills in gaps or applies assumptions based on prior experience. Optical illusions can be categorized into three main types: literal illusions, which depict objects that are physically impossible or depict hidden elements; physiological illusions, resulting from overstimulation of the such as repetitive patterns causing afterimages; and cognitive illusions, where the brain's interpretation of ambiguous or conflicting cues leads to erroneous judgments of size, shape, or motion. Notable examples include the , where lines of equal length appear unequal due to arrowhead orientations, and the , which distorts perceived circle sizes through surrounding context. These phenomena demonstrate how visual processing involves not just the eyes but integrated neural mechanisms that prioritize efficiency over perfect accuracy. The study of optical illusions dates back to the , with Johann Joseph Oppel coining the term "" in 1855 to describe spatial distortions in perceived size and shape. In and , illusions serve as tools to probe the mechanisms of , revealing how the brain constructs reality and adapts to environmental cues, with applications in understanding disorders like or autism where perceptual processing may be altered. Beyond science, optical illusions have influenced art and design, from ancient cave paintings to modern , engaging viewers by challenging fixed perceptions.

Types of Optical Illusions

Physical Illusions

Physical illusions arise from the physical properties of in the environment, such as , reflection, or , creating apparent distortions independent of the observer's biological or cognitive processes. These phenomena occur due to variations in the medium through which travels, like changes in air or gravitational fields, leading to bent paths that misrepresent object positions or appearances. Unlike physiological illusions, which stem from sensory overstimulation, physical illusions can be fully explained by optical physics and are observable even by instruments without neural involvement. One of the earliest recorded observations of a physical illusion is the , described by around 350 BCE as an resulting from interacting with droplets in the atmosphere. In rainbow formation, white undergoes upon entering a raindrop, internal reflection off the drop's inner surface, and a second upon exiting, dispersing the into its spectral colors due to wavelength-dependent bending angles. This process follows of , mathematically expressed as n1sinθ1=n2sinθ2n_1 \sin \theta_1 = n_2 \sin \theta_2, where nn represents the of the medium and θ\theta the angles of incidence and , allowing precise modeling of the paths without biological factors. Primary rainbows exhibit red on the outer edge and violet on the inner, while secondary rainbows, formed by two internal reflections, appear fainter and inverted. Mirages exemplify physical illusions through caused by temperature gradients altering air density and thus the . Inferior mirages, common in hot deserts, occur when light from a distant object bends upward in cooler air near the ground, creating the illusion of a shimmering "" pool as the appears reflected below the horizon. Superior mirages, observed over surfaces like polar seas, bend light downward, making distant objects appear elevated or distorted, sometimes as towering, elongated forms known as Fata Morgana—a complex variant involving multiple layered that can transform a flat horizon into illusory castles or cliffs. These effects are governed by the same principles of as rainbows, with ray tracing models predicting image displacements based on vertical temperature profiles. In aviation, the looming effect—a subtype of superior mirage—poses hazards by making ships or landmasses appear abnormally large and closer due to strong upward refraction in stable cold air layers, potentially leading pilots to misjudge distances during low-altitude flights over water. Atmospheric haze similarly distorts depth perception through scattering of shorter blue wavelengths, causing distant objects to appear faded and bluish, which enhances natural cues for estimating range but can exaggerate distances in uneven terrain or fog, as light attenuation follows an exponential decay with distance per the Beer-Lambert law. On cosmic scales, gravitational lensing serves as a natural physical illusion, where massive objects like galaxy clusters bend spacetime, curving light paths from background sources to produce multiple images, arcs, or Einstein rings, mimicking optical distortions but predicted by general relativity rather than classical refraction. These phenomena underscore how environmental physics alone can deceive perception, with mathematical models like ray optics or geodesic equations enabling accurate predictions.

Physiological Illusions

Physiological illusions result from the physiological limits or overstimulation of the , particularly in the and early visual pathways, leading observers to perceive images or patterns that are not present in the physical stimulus due to , , or saturation of sensory neurons. These differ from physical illusions, which arise solely from the properties of light propagation without involving biological responses. A classic example is afterimages, where prolonged fixation on a stimulus produces a lingering percept after the stimulus is removed; negative afterimages invert the colors to their complements due to opponent-process in cones, while positive afterimages retain the original colors and often occur in low-light conditions following bright exposure. The represents a more persistent form, an orientation-contingent color aftereffect where black-and-white gratings appear tinted based on prior to colored, oriented patterns, lasting from hours to months owing to cortical in orientation-selective neurons. Key examples include , where sharp brightness gradients appear exaggerated at edges of uniform regions, creating illusory light and dark halos due to enhanced contrast detection. The Hermann grid illusion produces illusory dark spots at the intersections of white lines on a black background, despite no such spots existing in the stimulus. Motion aftereffects, such as the waterfall illusion, occur after viewing prolonged downward motion (e.g., cascading water), causing stationary scenes to appear to drift upward as a result of in direction-selective neurons. The underlying physiological basis involves retinal ganglion cells, which feature center-surround receptive fields characterized by excitatory responses in the center and inhibitory responses in the surrounding area, mediated by among neighboring neurons to sharpen edges and enhance contrast. This mechanism amplifies differences in light intensity, contributing to illusions like and the Hermann grid by over-inhibiting activity at boundaries or intersections. These illusions can be reliably demonstrated in settings using controlled visual stimuli, such as grids or moving patterns on screens, with persistence varying by type—afterimages typically lasting seconds to minutes, while effects like the McCollough can endure for months.

Cognitive Illusions

Cognitive illusions arise from the misapplication of learned perceptual rules and contextual inferences by the , leading to systematic errors in interpreting visual stimuli based on prior about the world. Unlike lower-level sensory distortions, these illusions involve higher cognitive processes where the constructs a about the scene that conflicts with the actual input, often drawing on assumptions about depth, size, or object constancy. A classic demonstration is found in ambiguous figures, such as the , where a two-dimensional of a spontaneously reverses in perceived depth, alternating between two valid three-dimensional interpretations as the shifts its perceptual . Similarly, the illustrates bistable , flipping between viewing a vase and two facing profiles, highlighting how top-down expectations influence figure-ground organization. Prominent examples include the , in which two lines of equal length appear unequal due to the orientation of arrowheads at their ends—the inward-pointing arrows making the line seem longer, as the brain misapplies rules associating such configurations with depth in angular environments. The exploits size-distance scaling, where parallel lines converging like railroad tracks cause a circle at the top to appear larger than an identical one at the bottom, reflecting the brain's assumption of perspective-based distance. Another striking case is the , where a concave mask rotates to appear convex, overriding direct binocular cues because facial expectations strongly bias perception toward convexity. These illusions demonstrate how cognitive priors, such as expectations of object regularity, lead to compelling misperceptions. Cognitive illusions also encompass paradoxes and contextual effects, such as the , an that appears as a coherent three-dimensional triangle despite violating geometric rules, tricking the into local interpretations that cannot form a global whole. The further illustrates contextual size perception, where a central circle seems smaller when surrounded by larger circles, as the uses surrounding elements to infer relative size in a scene. These illusions typically persist even when individuals are fully aware of the , affecting the vast majority of observers and underscoring the involuntary nature of these cognitive processes. For instance, susceptibility to the Müller-Lyer effect varies culturally, with reduced impact in populations from non-angular, rural environments compared to those in urban, carpentered settings, suggesting experience shapes perceptual assumptions. Overall, such illusions affect most sighted individuals, revealing universal yet adaptable cognitive mechanisms in visual interpretation.

Mechanisms of Optical Illusions

Factors Influencing Perception

Perception in optical illusions is modulated by several key factors, including attention, expectations, current mood or emotional state, prior experience, age, and specific brain regions. Attention directs the visual system's focus, influencing how illusions are interpreted; for instance, selective attention can enhance or diminish the salience of illusory elements in geometrical distortions. Expectations, shaped by prior beliefs, bias the brain toward probable interpretations via Bayesian integration, leading to perceptual biases in ambiguous stimuli. Current mood and emotional states also play a role, with negative emotions like guilt strengthening illusions such as the Ebbinghaus effect through prefrontal-dependent mechanisms that alter early visual processing. Prior experience and age contribute via biases like the own-age effect, where individuals perceive ambiguous figures as closer to their own age group, reflecting accumulated social exposure. Older adults may exhibit distinct emotional influences on perception, such as greater overestimation of time intervals with positive stimuli due to positivity bias. Brain regions involved include the visual cortex for basic processing and the prefrontal cortex for higher-order switching between interpretations, particularly in bistable illusions.

Perceptual Organization

Perceptual organization refers to the brain's tendency to group visual elements into meaningful wholes, often resulting in optical illusions where the perceived structure overrides the actual sensory input. This process is fundamentally explained by Gestalt principles, which describe how humans perceive patterns and simplify complex images by organizing elements based on innate perceptual rules. These principles demonstrate that the whole is more than the sum of its parts, leading to illusory patterns even when no physical boundaries or features exist in the stimulus. The core Gestalt principles include proximity, where elements positioned close together are perceived as a unified group; similarity, where elements sharing attributes like shape, color, or size are grouped regardless of spatial separation; closure, where the mind completes incomplete shapes to form a coherent figure; and continuity, where smooth, continuous lines or patterns are preferred over abrupt interruptions, guiding the perceptual flow along the least complex path. These principles were first systematically outlined by in his 1923 paper "Laws of Organization in Perceptual Forms," marking a foundational contribution to , which was pioneered in the early 20th century by Wertheimer, , and . Illustrative examples highlight how these principles generate illusions. The Kanizsa triangle, introduced by Gaetano Kanizsa in 1955, relies on closure and illusory contours: three pac-man-shaped inducers positioned at the corners of an prompt the perception of a bright, white triangular figure with defined edges, despite no explicit lines being present. Similarly, the , discovered by Wertheimer in 1912, exemplifies temporal proximity and continuity in perceiving apparent motion: sequential flashes of static lights at adjacent positions create the illusion of a single light moving smoothly between them, overriding the discrete nature of the stimuli. In applications to illusions, perceptual organization often supersedes local features, as seen in the Ehrenstein illusion, first described by Walter Ehrenstein in 1941. Here, four radial line segments arranged in a square-like configuration induce the perception of a bright illusory disk at their intersection, completed via closure and continuity despite the absence of or contrast in that central area. evidence supports these mechanisms, with (fMRI) studies revealing activation in the early (V1) for illusory contours, such as those in Kanizsa figures, indicating that low-level neural processing contributes to contour completion before higher-order interpretation.

Depth and Motion Perception

Monocular cues to provide the with essential information about spatial layout using a single eye, but these cues can be manipulated to create compelling illusions when the misinterprets ambiguous signals. Linear perspective, where converge toward a , signals increasing , as seen in railroad tracks appearing to meet on the horizon. Relative assumes that objects of known dimensions appear smaller when farther away, allowing the to infer depth from comparative scales. Texture gradient reveals depth through the progressive coarsening of surface details, with finer textures indicating greater , such as pebbles on a receding path. Occlusion, or interposition, occurs when one object partially blocks another, designating the blocker as nearer. These cues often operate in concert, but distortions in their application can lead to perceptual errors. A classic example is the illusion, where a trapezoidal chamber with slanted walls and floors exploits linear perspective and relative size to make a person at one end appear gigantic while another at the opposite end seems diminutive, despite equal actual heights. This distortion tricks the into interpreting the irregular space as a normal rectangular room, overriding accurate size judgments based on familiar cues. Motion perception relies on monocular cues to detect movement and derive depth, but illusions arise when these signals conflict or are incomplete. , a key depth cue, involves the relative shift of objects during observer movement, where nearer items displace faster than distant ones, as demonstrated in early studies showing it independently elicits depth impressions. Induced motion occurs when a stationary object appears to move due to the motion of surrounding elements, such as stars seeming to rotate around a fixed amid drifting clouds, because the attributes motion to the less expected target. The problem further complicates motion detection, as limited visual fields create ambiguity in direction for extended stimuli, like a moving plaid pattern viewed through a small , where only the component to the edge is discernible. Peripheral motion illusions, such as the rotating snakes pattern, exploit these cues through static, high-contrast spirals that induce apparent rotation via asymmetric luminance gradients and eye movements, creating a drift effect strongest at the periphery. These phenomena highlight how the resolves motion under uncertainty. Optical illusions in depth and motion often stem from processes, where the brain combines sensory evidence with prior expectations to interpret ambiguous inputs, such as assuming slow speeds or stable environments, leading to biased s when priors override veridical cues. For instance, models show that motion illusions like induced motion arise from probabilistic weighting of retinal signals against learned assumptions about scene dynamics. Binocular cues can enhance these interpretations but are not essential for the core illusions described.

Binocular Vision Effects

refers to the horizontal offset in the images projected onto the retinas of the two eyes due to their separation, which the exploits to perceive depth through . This cue arises because objects at different distances produce slightly different retinal projections, with nearer objects showing greater disparity. The integration of these disparate views enables the brain to compute relative depth, a process first systematically demonstrated by in his invention of the . A classic demonstration of illusory occurs in random-dot stereograms (RDS), where two images of uncorrelated random dots are presented to each eye, with a subset of dots in one image shifted horizontally relative to the other. When fused binocularly, the visual system matches corresponding dots despite the lack of monocular form cues, creating a coherent depth percept such as a floating square or cylinder emerging from a flat background. This illusion, pioneered by Béla Julesz, reveals that relies on low-level disparity detection rather than higher-level , as the uncorrelated dots form no discernible shape in either eye alone. The exemplifies how temporal delays between the eyes can induce illusory depth in motion. When a is placed over one eye, it slows the signal from that eye, causing a swinging viewed binocularly to appear distorted in depth, as if rotating in an elliptical path rather than linearly. Originally described by Carl Pulfrich, this illusion arises from the interocular latency difference mimicking a , transforming planar motion into perceived three-dimensional . Binocular rivalry emerges when the two eyes receive incompatible stimuli, such as orthogonal gratings, leading to alternating perceptual dominance where only one image is consciously seen at a time, suppressing the other. This competition highlights the visual system's inability to fuse irreconcilable inputs, with dominance durations influenced by stimulus contrast and size, as formalized in Levelt's propositions. Unlike , rivalry underscores the limits of binocular integration under conflict. In edge detection illusions like the , binocular viewing amplifies the perceptual ambiguity, causing spontaneous depth reversals between two possible three-dimensional interpretations of the wireframe. These flips occur because the cube's edges lack unique correspondence, allowing the to alternate between front-back assignments. Surface in such figures depends on solving the correspondence problem: matching homologous points across the retinas while rejecting false matches from ambiguous contours. David Marr and Tomaso Poggio's cooperative models this as a network that iteratively resolves ambiguities through continuity and uniqueness constraints. The horizontal disparity dd relates to perceived depth ZZ via the approximation Z=IfdZ = \frac{I \cdot f}{d}, where II is the interocular distance (typically 6.5 cm) and ff is the of the eyes. This stereo-based computation interacts with monocular cues like occlusion for robust depth, but relies primarily on disparity for fine-scale .

Color and Brightness Perception

Optical illusions involving color and brightness perception often arise from the brain's mechanisms to maintain perceptual stability under varying lighting conditions, leading to discrepancies between physical stimuli and subjective experience. refers to the visual system's ability to perceive an object's color as unchanging despite shifts in illumination, such as from daylight to indoor lighting, by estimating the object's intrinsic relative to its surroundings. Similarly, brightness constancy, also known as constancy, ensures that an object's perceived remains consistent even when or highlights alter the light reaching the eye, allowing viewers to discount transient lighting variations and focus on surface properties. These principles enable reliable object identification in diverse environments but can produce illusions when contextual cues mislead the compensation process. A classic example is the , introduced by Edward Adelson in 1995, where two squares on a pattern—one in shadow and one in light—appear dramatically different in shade despite having identical gray values, due to the brain's interpretation of surrounding contrasts as indicators of illumination. The , described by Tom Cornsweet in his 1970 work on , features an abrupt edge flanked by opposing gradients, causing physically uniform adjacent regions to appear as if one side is brighter overall, illustrating how local edge information propagates illusory brightness across broader areas. , a related , produces color aftereffects such as the , where prolonged exposure to oriented gratings in (e.g., red vertical and green horizontal lines) causes subsequent achromatic gratings to appear tinted in opposing hues, contingent on their orientation, as demonstrated in Celeste McCollough's 1965 experiments. Underlying these illusions is the Retinex theory, developed by Edwin Land in the 1960s, which proposes that the visual system computes color and lightness through multiple independent "retinex" channels—one for each long-, medium-, and short-wavelength sensitive cone—each estimating reflectance by comparing local contrasts across the image to segregate illumination from surface properties, without requiring a global average. Adelson's checkerboard demonstration further highlights contextual induction, where surrounding patterns bias perceived shade through lateral interactions in early visual processing. Such illusions expose the role of lateral inhibition in the primary visual cortex (V1), where excited neurons suppress neighboring activity to sharpen edges and contrasts, but this enhancement can amplify misleading gradients in brightness and color perception. These perceptual mechanisms contribute to by prioritizing stable surface attributes over variable lighting, though illusions underscore the approximations inherent in this process.

Object and Time Perception

Object illusions arise when the fails to accurately integrate or maintain representations of objects across eye movements or spatial scales, leading to misperceptions of identity or form. One prominent example is substitution masking during saccades, where an object can be replaced mid-eye movement without the observer noticing the change, due to the brain's suppression of visual input during rapid shifts in gaze. This phenomenon, often termed transsaccadic object substitution or overwriting, occurs because post-saccadic stimuli automatically replace pre-saccadic representations in , maintaining perceptual stability at the cost of detecting alterations. Another key object illusion involves hybrid images, which exploit differences in processing between central and peripheral vision; at close range or foveal fixation, high-frequency details dominate to reveal one (e.g., a face's sharp features), while at a distance or in the periphery, low-frequency components blend to show a different (e.g., a broader ). This dual perception highlights how the prioritizes coarse, global structure in low-acuity regions and fine details in high-acuity areas. Time perception in optical illusions often stems from the 's predictive mechanisms, which anticipate future states based on incomplete sensory data to compensate for neural delays. in visual processing involves the generating internal models to forecast motion trajectories, minimizing errors between expected and actual inputs; for instance, in perceiving moving objects, higher cortical areas send top-down predictions to refine sensory signals, creating the of seamless continuity. A classic temporal distortion is , or the stopped-clock , where the first tick of a clock after shifting appears delayed, as the attributes extra duration to the onset event to bridge the perceptual gap during saccadic suppression. Illustrative examples of these time-based illusions include the flash-lag effect, in which a briefly flashed stationary object aligned with a moving one appears to trail behind, because the extrapolates the mover's position ahead based on its ongoing trajectory to account for processing latencies. Similarly, the demonstrates discrete-frame mimicking reversed motion, as when a rotating wheel in film appears to rotate backward; this arises from the visual system's temporal sampling, where stroboscopic updates fail to match continuous motion, leading to aliased perceptions of direction. Neural underpinnings of these illusions are evident in predictive models within the middle temporal area (MT/V5), a key region for motion processing, where neurons encode anticipated trajectories by integrating feedforward sensory data with feedback predictions, revealing how mismatches produce illusory offsets or reversals. Additionally, the filled-duration illusion shows that intervals containing patterned or event-filled stimuli (e.g., textured patterns versus plain tones) are perceived as longer than empty ones of equal physical length, underscoring how attentional capture and internal event counting inflate subjective time estimates. These mechanisms tie into broader perceptual organization by grouping object features across space and time, though they can err when predictions outpace verification.

Pathological and Clinical Aspects

Visual Distortions in Pathology

Pathological visual distortions refer to perceptual anomalies arising from disorders of the , manifesting as illusions that differ from those experienced by individuals with intact vision. These distortions often serve as clinical symptoms indicating underlying neurological or ophthalmological conditions, such as migraines, diseases, or lesions, and can significantly impair daily functioning. Unlike normal optical illusions, which rely on healthy , pathological ones stem from structural or functional impairments in the , optic pathways, or . Common types of pathological visual distortions include and , where objects appear smaller or larger than they are, frequently occurring as part of during auras. , characterized by the perception of straight lines as wavy or bent, is a hallmark symptom in conditions like age-related , resulting from irregularities in the retinal surface. , involving the persistence or recurrence of visual afterimages after the stimulus is removed, is often linked to epileptic activity, particularly in seizures. These distortions arise from various causes, including retinal damage that creates central scotomas—blind spots in the —leading to illusory of missing information or perceptual completion around the lesion. Cortical lesions, such as those affecting the primary , can produce phenomena, where patients unconsciously detect stimuli in their blind field but may experience illusory awareness or motion perceptions without full conscious vision. Notable examples include syndrome, which features vivid, complex visual hallucinations in individuals with significant vision loss from conditions like , where the brain compensates for deafferented visual input by generating illusory scenes. Peduncular hallucinosis, associated with strokes, presents with Lilliputian figures—tiny, colorful illusions of people or animals—that are typically non-threatening and insight-preserving. Such distortions affect 10-20% of patients with low vision, highlighting their clinical relevance in and . Diagnosis often involves the , a simple tool where patients report distortions in a grid pattern to quantify or scotomas, aiding in early detection and monitoring of progression.

Connections to Psychological Disorders

Optical illusions, particularly those involving , have been linked to altered body experiences in psychological disorders such as . The rubber hand illusion (RHI), first described in 1998, occurs when synchronous visuotactile stimulation—typically involving simultaneous stroking of a visible rubber hand and the participant's hidden real hand—induces a sense of over the fake limb. This illusion is mediated by neural activity in the , where conflicting sensory inputs are integrated to update body representation. In , patients exhibit heightened susceptibility to the RHI compared to healthy individuals, with studies showing stronger illusory and proprioceptive drift toward the rubber hand, potentially reflecting disrupted sensory integration and self-boundary disturbances. This increased proneness underscores how perceptual instabilities in may amplify multisensory conflicts. Schizophrenia is also associated with atypical responses to purely visual illusions reliant on top-down processing, such as the hollow-mask illusion, where healthy individuals perceive a concave mask as a convex face due to prior expectations of facial structure. Patients with demonstrate reduced susceptibility to this illusion, correctly identifying the mask's hollow nature more often, which indicates a failure to apply top-down cues and greater reliance on bottom-up sensory data. A 2025 study confirms this reduced susceptibility in patients. This perceptual pattern aligns with the , wherein elevated striatal levels promote perceptual instability by underweighting predictive priors, leading to diminished illusion effects in contexts requiring contextual inference. Overall, research reveals reduced illusion magnitude in for such top-down dependent visuals, highlighting diagnostic potential for probing deficits. In autism spectrum disorder (ASD), studies on susceptibility to geometric illusions like the Müller-Lyer effect show mixed results, with some evidence of reduced susceptibility attributed to weaker contextual integration and detail-focused processing in individuals with higher autistic traits. However, a 2025 study found intact susceptibility to visual illusions, including size illusions, in autistic individuals compared to non-autistic controls. Similarly, alters illusions, such as those involving contrast suppression, where depressed individuals experience weaker illusory effects and perceive contrasts as stronger due to reduced cortical gain control in the visual pathway. These multisensory and interpretive alterations emphasize optical illusions as tools for understanding perceptual anomalies in psychiatric conditions.

Cultural and Artistic Uses

Illusions in Art

Optical illusions have been intentionally employed in since antiquity to manipulate perception and evoke wonder. In , artists like Zeuxis reportedly created effects so realistic that birds attempted to peck at painted grapes, demonstrating early mastery of illusionistic realism to deceive the eye. This technique, known as —French for "deceive the eye"—involves hyper-realistic rendering of objects to create the appearance of three-dimensionality on a flat surface, a practice that persisted through Roman frescoes and medieval woodwork. During the , emerged as a sophisticated method of distortion, where images appear warped from standard viewpoints but resolve into coherent forms from oblique angles or via mirrors. , derived from Greek roots meaning "to form anew," allowed artists to embed hidden messages or symbolic elements, enhancing the viewer's engagement through discovery. A prime example is Hans Holbein the Younger's The Ambassadors (1533), which features an elongated skull at the foreground that transforms into a clear symbol when viewed from the side, underscoring themes of mortality amid opulent Renaissance portraiture. In the 20th century, optical illusions became central to modern art movements, particularly Op art in the 1960s, which used geometric patterns to induce sensations of movement and vibration. British artist Bridget Riley pioneered this style with works like Movement in Squares (1961), employing wavy black-and-white lines to create pulsating illusions that challenge static perception and evoke kinetic energy. Similarly, M.C. Escher's lithographs explored impossible architectures, defying Euclidean geometry; his Relativity (1953) depicts staircases and figures in multiple gravitational orientations, blending mathematical precision with perceptual paradox to question spatial reality. Surrealist Salvador further integrated illusions with psychological depth in (1931), where melting pocket watches draped over landscapes distort conventional time perception, symbolizing the fluidity of dreams and subconscious states. Such artistic illusions not only captivate through visual trickery but also amplify emotional resonance by introducing surprise and , prompting viewers to confront the limits of their senses. These techniques have extended into , where interactive illusions build on traditional principles for immersive experiences.

Illusions in Modern Media and Design

Optical illusions have become to modern media and , leveraging digital technologies to captivate audiences and enhance user experiences in , , and interactive platforms. In , animated GIFs exploit and motion aftereffects to create the illusion of movement from entirely static images, such as concentric rings that appear to rotate when viewed indirectly. Similarly, (AR) filters on platforms like use facial recognition and depth mapping to induce perceptual distortions, as seen in face-swap lenses that seamlessly blend features across users or objects, creating surreal depth effects that play on . In design applications, optical illusions inform practical innovations beyond entertainment. Military camouflage employs disruptive patterns, such as pixelated or motifs in uniforms like the U.S. Army's , which break up outlines and blend with environments to confound human shape recognition through edge disruption. In architecture and , techniques in produce 3D murals that simulate impossible depths or structures, like anamorphic pavement drawings that appear as bottomless pits from a specific viewpoint, enhancing public engagement in cityscapes. Media trends amplify these illusions' viral potential on social platforms, where content exploits individual perceptual variances for widespread sharing. The 2015 "" photograph, which divided viewers between perceiving it as blue-black or white-gold due to ambiguous lighting and , generated over 4.4 million tweets on within the first 24 hours, underscoring how such illusions reveal differences in visual processing. By 2025, has driven a surge in search interest for optical illusion books and puzzles, peaking in August 2025 ( score of 78) amid viral challenges like a July TikTok trend on emotional vulnerability, with the overall puzzle book market valued at $189 million. In (UX) design, illusions boost engagement; for instance, in apps moves background elements slower than foreground content, mimicking spatial depth to encourage prolonged interaction, as in infinite feeds on platforms like . Market data indicates a 32.6% growth in AR/VR hardware from 2024 to 2025, reflecting rising adoption of illusion-enhanced apps for immersive and .

Research and Hypotheses

Cognitive Processes Hypothesis

The cognitive processes hypothesis posits that optical illusions arise from the brain's inferential mechanisms, where integrates sensory inputs with internal expectations to form coherent interpretations of the visual world. Under this framework, illusions emerge when these computations prioritize prior knowledge or predictions over ambiguous sensory data, leading to systematic perceptual errors that are nonetheless adaptive for efficient environmental navigation. A central model within this hypothesis is the Bayesian brain framework, which describes as a form of probabilistic . Here, the combines likelihoods derived from current sensory evidence with priors—statistical expectations based on past experiences—to estimate the most of the input. Illusions occur when strong priors override veridical sensory signals; for instance, in the Adelson checker-shadow illusion, a prior assuming uniform illumination across shadowed regions causes a darker square to be perceived as lighter than it physically is, reflecting the 's bias toward lightness constancy in natural scenes. Complementing this is , a hierarchical process where the generates top-down predictions about sensory inputs based on higher-level models, with prediction errors propagating upward to refine those models. In motion-based illusions like the flash-lag effect, where a briefly flashed stationary object appears to trail a continuously moving one despite simultaneous onset, the extrapolates the moving object's position ahead in time using priors, minimizing errors in dynamic environments. This approach traces back to Hermann von Helmholtz's 19th-century concept of , which argued that perceptions are involuntary conclusions drawn from incomplete retinal data using learned assumptions about the world. A classic example is the Helmholtz square illusion, where identical squares filled with vertical versus horizontal lines appear distorted in width or height due to contextual cues implying tilted orientations, illustrating how implicit geometric knowledge shapes form perception. These models find unified support in Karl Friston's free-energy principle from the 2000s, which formalizes the as minimizing variational free energy—a bound on surprise or prediction error—to maintain . By treating illusions as outcomes of energy-minimizing inferences, this explains their persistence as evolutionarily advantageous shortcuts for rapid, reliable decisions under . Recent studies have provided empirical backing for these predictive mechanisms in healthy observers.

Recent Developments in Illusion Research

Recent research in optical illusions has introduced novel stimuli that elicit strong physiological responses, bridging perception with autonomic reactions. The expanding hole illusion, first described in 2022, gained further attention through 2023 studies examining its impact on pupil dilation. In one investigation, participants exposed to illusory dark tunnels showed pupil expansions comparable to those triggered by actual forward motion into darkness, indicating that the brain's predictive mechanisms treat the illusion as a real environmental threat. This response was quantified by measuring pupil diameter changes, which correlated with the perceived depth and expansion rate of the hole, mimicking the in low-light conditions. Advancements in 2025 highlighted illusions leveraging contrast for without dynamic elements. The Static Spin illusion, awarded first prize in the Best Illusion of the Year by the Neural Correlates Society, uses subtle edge shifts in a static image to induce a compelling sense of 3D , exploiting gradients to fool the visual system's motion detectors. This winner exemplifies a trend toward AI-assisted , with 2025 entries increasingly incorporating machine-generated depth cues to enhance illusory effects, such as variable motion speeds based on perceived distance. Similarly, the 2023 featured innovations like the Platform 9 3/4s illusion, which manipulated perspective to create impossible spatial penetrations, underscoring ongoing interest in rivalry between visual cues. Empirical studies have explored how expertise modulates illusion susceptibility, revealing training's role in perceptual accuracy. A 2025 experiment found that professionals, such as radiologists, exhibited significantly higher resistance to classic illusions like the Müller-Lyer compared to novices, attributing this to years of analyzing complex grayscale images that hone low-level feature detection. Participants with expertise showed significantly higher accuracy in detecting length differences, with experts achieving 96% accuracy compared to 87% for novices in the Müller-Lyer task, suggesting that domain-specific visual training overrides default Bayesian priors in perception. In , the Allen Institute's OpenScope initiative extended projects from 2023 to 2024, using two-photon in mice to probe predictive processing underlying illusions; these efforts identified cortical cells in visual areas that generate illusory shapes by minimizing prediction errors, with laser-targeted confirming their role in non-veridical . Contemporary work has also addressed , particularly through variants of the rubber hand illusion (RHI), filling gaps in understanding body ownership under conflicting inputs. A 2025 study demonstrated that RHI induction reduces perceived from stimuli by integrating visuotactile cues, with participants reporting lower intensity ratings for heat-induced when the illusion was active compared to control conditions, linked to altered somatosensory processing. Building on 2023 findings, research showed individual differences in visual dominance during RHI, where stronger visual biases predicted greater embodiment across age groups, advancing models of how disrupt self-perception. These developments tie briefly to cognitive hypotheses by illustrating how integrates sensory predictions across modalities.

References

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