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Related Concept Videos

Vision01:24

Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Visual System01:26

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
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Depth Perception and Spatial Vision01:15

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Association Areas of the Cortex01:21

Association Areas of the Cortex

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
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Motor and Sensory Areas of the Cortex01:14

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The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
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Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane
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Decreasing predictability of visual motion enhances feed-forward processing in visual cortex when stimuli are

Thilo Kellermann1,2, Ruben Scholle3,4, Frank Schneider3,4

  • 1Department of Psychiatry, Psychotherapy and Psychosomatics, Uniklinik RWTH Aachen, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany. tkellermann@ukaachen.de.

Brain Structure & Function
|June 24, 2016
PubMed
Summary

Unpredictable visual motion enhances brain communication, specifically the forward connection from V1 to V5, when a motor response is required. This supports hierarchical predictive processing and offers insights into psychiatric disorders like schizophrenia.

Keywords:
Dynamic causal modeling (DCM)Effective connectivityHierarchical processingPrediction errorPredictive coding

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychology

Background:

  • The human brain operates on a hierarchical structure, underpinning functional hierarchies.
  • Hierarchical predictive processing suggests higher brain levels predict lower-level activity, with prediction errors transmitted upward.

Purpose of the Study:

  • To investigate how unpredictable visual motion modulates forward connections in the visual cortex.
  • To test the role of hierarchical predictive processing in response to visual uncertainty.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used on 35 healthy volunteers.
  • Participants viewed a moving ball under varying predictability conditions, with and without a motor response task.
  • Dynamic causal modeling (DCM) analyzed connectivity within a network including V1, V5, and posterior parietal cortex.

Main Results:

  • Decreasing predictability of visual motion significantly enhanced the forward connection from V1 to V5.
  • This enhancement was particularly pronounced in the condition requiring a motor response.
  • Results align with hierarchical predictive processing, showing increased bottom-up error transmission under uncertainty.

Conclusions:

  • The study supports hierarchical predictive processing by demonstrating augmented bottom-up prediction error transmission with increased visual uncertainty.
  • Findings suggest potential neural mechanisms underlying conditions like schizophrenia, where aberrant prediction error signaling is implicated.