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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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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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The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
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Perceptual Constancy01:12

Perceptual Constancy

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Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
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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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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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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.
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Related Experiment Video

Updated: Jul 22, 2025

Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex
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Representations in human primary visual cortex drift over time.

Zvi N Roth1, Elisha P Merriam2

  • 1Laboratory of Brain and Cognition, National Institute of Mental Health, NIH, Bethesda, MD, USA. zvi.roth@nih.gov.

Nature Communications
|July 21, 2023
PubMed
Summary
This summary is machine-generated.

Neural representations in the human visual cortex (V1) drift over time, contrary to prior beliefs of stability. This drift originates from changes in neural responsivity, not representational content.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Visual Processing

Background:

  • Primary sensory regions are traditionally thought to maintain stable neural representations.
  • Recent rodent studies challenge this notion, suggesting representations may drift over time.

Purpose of the Study:

  • To investigate the stability of sensory representations in the human visual cortex.
  • To determine if neural representations in human V1 exhibit temporal drift.

Main Methods:

  • Analysis of a large longitudinal dataset of functional magnetic resonance imaging (fMRI) responses.
  • Fitting fMRI responses using an image-computable encoding model.
  • Testing model generalization across different experimental sessions.

Main Results:

  • Systematic changes in encoding model fits were observed, indicating cumulative drift over months.
  • Convergent analyses identified changes in neural responsivity as the source of this drift.
  • Population-level representational dissimilarities remained unchanged, suggesting stable stimulus content.

Conclusions:

  • Neural representations within human V1 exhibit cumulative drift over time.
  • This drift is attributed to changes in neural responsivity, not alterations in the representational content itself.
  • Downstream cortical areas may still access a stable representation despite V1 drift.