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Related Concept Videos

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.
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...
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,...
Lateralization01:28

Lateralization

Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.
Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by identifying...
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...

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Related Experiment Video

Updated: Jul 9, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

[Localization of human brain areas activated for chaotic and ordered pattern perception].

V A Fokin, Iu E Shelepin, A K Kharauzov

    Rossiiskii Fiziologicheskii Zhurnal Imeni I.M. Sechenova
    |December 14, 2007
    PubMed
    Summary

    This study used functional MRI to map brain activity in response to incomplete visual patterns. Ordered patterns activated the primary visual cortex, while chaotic patterns engaged additional visual and parietal areas.

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    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

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    Last Updated: Jul 9, 2026

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    Area of Science:

    • Neuroscience
    • Cognitive Neuroscience
    • Neuroimaging

    Context:

    • Understanding visual perception and brain function is crucial in neuroscience.
    • Functional magnetic resonance imaging (fMRI) allows non-invasive study of brain activity.
    • Previous research has explored visual processing but the specific neural correlates of incomplete figure perception require further elucidation.

    Purpose:

    • To identify the specific cortical areas engaged during the processing of incomplete visual stimuli.
    • To differentiate brain activation patterns between ordered and chaotic Gabor grating stimuli using fMRI.
    • To investigate the role of visual cortex and parietal areas in completing visual information.

    Summary:

    • Eight healthy volunteers underwent fMRI scans using a 1.5 T scanner and echo planar imaging (EPI) to observe brain responses to ordered and chaotic Gabor grating patterns.
    • Ordered patterns primarily activated the primary visual cortex (V1, V2; BA17-18).
    • Chaotic patterns activated the primary visual cortex, along with higher visual areas (V3, V4, V5; BA19) and the parietal area (BA7), with decision-making localized to prefrontal and frontal cortices (BA 6, 9, 10).

    Impact:

    • This research provides detailed insights into the neural basis of visual completion and pattern recognition.
    • Findings contribute to understanding how the brain processes incomplete visual information, potentially informing theories of perception.
    • The study highlights distinct cortical networks involved in processing different types of visual complexity.