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Related Concept Videos

Vision01:24

Vision

60.3K
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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Restorative Care01:19

Restorative Care

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Restorative care is provided once a patient has been discharged from a healthcare facility and requires additional services. The additional services include home care, rehabilitation programs, and extended care. Restorative care centers help the patient regain their previous level of functioning or acquire a new level of functioning due to the incapacitating effects of a disease or a disability. It aims to assist patients in enhancing their quality of life by encouraging independence,...
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Color Vision01:24

Color Vision

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Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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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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Neural Regulation01:37

Neural Regulation

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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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Neural Circuits01:25

Neural Circuits

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
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Related Experiment Video

Updated: Feb 14, 2026

Subjective Refraction Test Using a Smartphone for Vision Screening
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Neural Vision Restoration in Ophthalmology.

Jainam Shah1, Sachin Pathuri2,3, Joshua Ong4

  • 1Albert Einstein College of Medicine, Bronx, NY, USA. jainam.shah@einsteinmed.edu.

Annals of Biomedical Engineering
|February 13, 2026
PubMed
Summary
This summary is machine-generated.

Neural vision restoration uses implants and brain-computer interfaces (BCIs) to restore sight. Future systems aim for more natural vision, integrating AI and considering ethical implications for broader applications.

Keywords:
Adaptive stimulationArtificial intelligenceBrain-computer interfacesClosed-loop systemsCortical stimulationMachine learningNeural interfacesNeuroplasticityOphthalmologyRetinal prosthesesVisual neuroprosthesesVisual rehabilitation

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Area of Science:

  • Neuroscience
  • Bioengineering
  • Ophthalmology

Background:

  • Neural vision restoration is a multidisciplinary field aiming to restore sight.
  • Current technologies offer basic visual perception but differ significantly from natural vision.

Purpose of the Study:

  • To review emerging strategies for neural vision restoration.
  • To outline challenges and opportunities in neural ophthalmology.

Main Methods:

  • Review of retinal prostheses, optic nerve and thalamic implants.
  • Exploration of cortical brain-computer interfaces (BCIs), optogenetics, and non-invasive stimulation.
  • Discussion of AI, machine learning, neural plasticity, and perceptual learning.

Main Results:

  • Initial experiments show primitive visual abilities like light and motion detection.
  • Artificial vision is cognitively demanding and distinct from natural vision.
  • AI and machine learning can enhance artificial vision systems.

Conclusions:

  • Multidisciplinary approaches are needed for visual rehabilitation.
  • Ethical and regulatory considerations are crucial for responsible implementation.
  • Future vision restoration requires hardware compatible with brain plasticity and patient experience.