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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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Updated: Mar 14, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
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Gradual Development of Visual Texture-Selective Properties Between Macaque Areas V2 and V4.

Gouki Okazawa1,2,3,4, Satohiro Tajima5, Hidehiko Komatsu1,2

  • 1Division of Sensory and Cognitive Information, National Institute for Physiological Sciences, Aichi 444-8585, Japan.

Cerebral Cortex (New York, N.Y. : 1991)
|September 23, 2016
PubMed
Summary
This summary is machine-generated.

Researchers explored how the brain processes complex visual textures in areas V2 and V4. They found that the representation of higher-order image statistics gradually develops along the ventral visual pathway, with area V4 showing greater sensitivity.

Keywords:
image statisticsmacaquematerial perceptiontexture perceptionventral visual pathway

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Area of Science:

  • Neuroscience
  • Visual Perception
  • Computational Neuroscience

Background:

  • Complex shape and texture representations are built along the ventral visual pathway (V1, V2, V4).
  • The precise neural mechanisms for texture processing remain unclear.
  • Higher-order image statistics computed from V1-like filter responses are proposed texture representations in V2 and V4.

Purpose of the Study:

  • To investigate how higher-order image statistics are processed in extrastriate visual areas (V2 and V4).
  • To compare neuronal responses to textures in V2 and V4 of macaque monkeys.

Main Methods:

  • Neuronal responses to thousands of naturalistic textures were recorded in V2 and V4 of macaque monkeys.
  • Responses were adaptively explored for preferred textures and fitted using V1-like filter responses and higher-order statistics.
  • Responses to spectrally matched noise images lacking higher-order statistics were analyzed.

Main Results:

  • Selectivity for image statistics was comparable between V2 and V4.
  • Area V4 demonstrated slightly stronger sensitivity to higher-order statistics compared to V2.
  • V4 neuronal responses were reduced more significantly than V2 responses when higher-order statistics were absent.

Conclusions:

  • A gradual development of higher-order feature representation occurs along the ventral visual hierarchy.
  • Area V4 shows a more refined representation of higher-order texture statistics than V2.