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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

Visual System

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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

Depth Perception and Spatial Vision

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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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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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Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

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The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
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Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

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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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Related Experiment Video

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Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
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Visual perceptual learning enhances functional connectivity in retinotopic space.

Vikranth R Bejjanki, Nicholas B Turk-Browne

    Biorxiv : the Preprint Server for Biology
    |December 15, 2025
    PubMed
    Summary

    Perceptual learning enhances visual detection by strengthening connections between brain areas V1 and V4. This increased functional connectivity in visual cortex improves the brain's processing of relevant information.

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    Area of Science:

    • Neuroscience
    • Cognitive Science
    • Visual Perception

    Background:

    • Perceptual learning, the improvement in behavioral performance with repeated task exposure, is a key aspect of cognitive function.
    • Neural mechanisms underlying perceptual learning are debated, with theories including plasticity in cortical connectivity.

    Purpose of the Study:

    • To test the hypothesis that perceptual learning enhances functional connectivity between visual cortical areas (V1 and V4) at task-relevant retinotopic locations.
    • To investigate if changes in functional connectivity predict behavioral improvements.

    Main Methods:

    • Functional magnetic resonance imaging (fMRI) was used to measure brain activity and connectivity.
    • Participants learned to detect novel visual shapes in different visual quadrants.
    • Connectivity between V1 and V4 voxels responsive to specific retinotopic locations was analyzed before and after training.

    Main Results:

    • Behavioral sensitivity significantly improved for the trained shape compared to a control shape.
    • Functional connectivity between V1 and V4 at the trained retinotopic location selectively increased post-training.
    • The magnitude of increased functional connectivity correlated with the degree of behavioral improvement.

    Conclusions:

    • Perceptual learning in humans involves increased functional connectivity between visual processing areas.
    • These findings support computational models suggesting that enhanced information transmission through altered network dynamics underlies perceptual learning.
    • The study demonstrates a direct link between neural network plasticity and behavioral gains in visual perception.