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Related Concept Videos

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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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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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle...
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The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
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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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Updated: Jul 31, 2025

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
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A Texture Statistics Encoding Model Reveals Hierarchical Feature Selectivity across Human Visual Cortex.

Margaret M Henderson1,2,3, Michael J Tarr4,2,3, Leila Wehbe4,2,3

  • 1Neuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213 mmhender@cmu.edu.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|May 1, 2023
PubMed
Summary
This summary is machine-generated.

Texture statistics models predict neural responses in human visual cortex, revealing widespread texture representations and increasing complexity in higher visual areas. This advances understanding of hierarchical visual processing.

Keywords:
encoding modelfMRImidlevel featuresspectral featurestexture statisticsvision

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Area of Science:

  • Neuroscience
  • Computational Vision
  • Cognitive Science

Background:

  • Midlevel visual features like texture link low-level and high-level processing.
  • The Portilla-Simoncelli (P-S) model is a candidate for predicting neural responses in early visual areas (V1-V4).
  • The model's efficacy in higher visual cortex for natural scenes remains unexplored.

Purpose of the Study:

  • To assess how well the P-S texture statistics model predicts neural responses in higher visual cortex to natural scenes.
  • To investigate the hierarchical emergence of midlevel feature representations in the human visual system.

Main Methods:

  • Constructed single-voxel encoding models using P-S texture statistics.
  • Fit models to functional magnetic resonance imaging (fMRI) data from human subjects viewing natural scenes.
  • Employed variance partitioning analyses to identify predictive features.

Main Results:

  • The P-S model successfully predicted voxel responses in both early retinotopic and higher-level category-selective areas.
  • Texture statistics representation is widespread across the visual cortex.
  • Higher-order texture features increasingly predict responses in ventral and lateral visual cortex.
  • Texture sensitivity patterns helped recover organizational axes, including semantic image content.

Conclusions:

  • Texture statistics are broadly represented throughout the visual system.
  • The complexity of texture representations increases hierarchically from early to higher visual areas.
  • This work provides insights into the role of texture in visual processing and hierarchical feature emergence.