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Related Concept Videos

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.
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at the...
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.
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the stimulus...
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.

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Related Experiment Video

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Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Activity in visual area V4 correlates with surface perception.

Seth E Bouvier1, Kristen S Cardinal, Stephen A Engel

  • 1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA. sbouvier@princeton.edu

Journal of Vision
|January 17, 2009
PubMed
Summary
This summary is machine-generated.

Researchers explored how the brain perceives surfaces using visual stimuli. Functional magnetic resonance imaging (fMRI) revealed that later visual areas, specifically V4, are crucial for surface perception, unlike early visual areas.

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Last Updated: Jun 26, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

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Published on: November 9, 2011

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

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Published on: February 3, 2015

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07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Area of Science:

  • Neuroscience
  • Visual Perception
  • Cognitive Science

Background:

  • The neural basis for integrating visual information into coherent surfaces is not well understood.
  • Surface perception relies on integrating visual cues across noncontiguous image regions.

Purpose of the Study:

  • To investigate the neural mechanisms underlying surface perception using luminance-based segmentation.
  • To identify specific visual areas involved in representing perceived surfaces.

Main Methods:

  • Utilized a novel visual stimulus with elements randomly assigned as surface or noise.
  • Employed functional magnetic resonance imaging (fMRI) across three experiments.
  • Manipulated the surface-to-noise ratio and analyzed brain activity in visual areas.

Main Results:

  • Early visual area V1 showed stronger responses to low surface-to-noise ratios.
  • Later visual areas, including V4, responded more strongly to high surface-to-noise ratios.
  • Area V4 exhibited heightened responses when a surface was perceived, irrespective of the objective surface-to-noise ratio, a pattern not observed in early visual areas.

Conclusions:

  • Visual area V4 plays a critical role in the neural representation of perceived surfaces.
  • The findings differentiate the functional roles of early versus later visual areas in surface perception.
  • Luminance serves as a key cue for surface segmentation processed in higher visual areas.