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Related Concept Videos

Vision01:24

Vision

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.
Visual System01:26

Visual System

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...
Association Areas of the Cortex01:21

Association Areas of the Cortex

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:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

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.
Motor Areas
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.
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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.
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

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Related Experiment Video

Updated: May 31, 2026

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation
07:11

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation

Published on: December 8, 2023

Three-dimensional visual feature representation in the primary visual cortex.

Shigeru Tanaka1, Chan-Hong Moon, Mitsuhiro Fukuda

  • 1Lab. Visual Neurocomputing, RIKEN BSI, Hirosawa 2-1, Wako-shi, Saitama, Japan. shigeru@riken.jp,

Neural Networks : the Official Journal of the International Neural Network Society
|July 5, 2011
PubMed
Summary
This summary is machine-generated.

This study models visual cortex organization, revealing that curved brain surfaces create wedge-shaped orientation columns, challenging the traditional straight columnar view. These findings were validated using functional MRI in cats.

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Last Updated: May 31, 2026

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation
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Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neurons with similar orientation preferences are typically organized in columns within the cat primary visual cortex.
  • The folded structure of the cerebral cortex (gyri and fundi) presents challenges to understanding the arrangement of these orientation columns, particularly in area 17 located on the lateral gyrus.

Purpose of the Study:

  • To investigate the three-dimensional (3D) organization of feature representation in the visual cortex, reconciling orientation columns with cortical curvature.
  • To model the interplay between preferred orientation, direction, ocular dominance, and retinotopy in a self-organizing system.

Main Methods:

  • Developed a 3D self-organization model incorporating preferred orientation, direction, ocular dominance, and retinotopy with isotropic interaction.
  • Utilized a novel simulation approach starting from the middle layer and expanding to all cortical layers to achieve complete orientation columns.
  • Validated theoretical predictions using multi-slice, high-resolution functional Magnetic Resonance Imaging (fMRI) in the cat visual cortex.

Main Results:

  • In flat cortical regions, vertical orientation columns were observed.
  • In curved cortical regions (gyri), orientation was represented by wedge-like columns, deviating from the traditional straight columnar model.
  • Orientation singularities appeared as warped lines, with direction reversals occurring in deeper layers, bounded by these singularity lines.

Conclusions:

  • The study proposes a new model for feature representation in the visual cortex that accounts for cortical folding.
  • The findings suggest that the conventional columnar view of orientation representation may need revision, particularly in non-flat cortical areas.
  • Theoretical predictions align well with experimental fMRI data, supporting the proposed model of visual cortex organization.