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Related Concept Videos

Parallel Processing01:20

Parallel Processing

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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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Spinal Cord: Information Processing01:10

Spinal Cord: Information Processing

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The spinal cord is an integral hub for motor and sensory information that enables the brain to communicate with the peripheral nervous system (PNS). This communication consists of relaying sensory data and transmission of motor commands.
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Sensory information processing begins at the sensory receptors located in the skin and other tissues, which detect somatic sensory stimuli such as touch, temperature, or pain. These receptors function as catalysts, initiating...
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Somatosensation01:33

Somatosensation

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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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Stream Function01:20

Stream Function

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In two-dimensional incompressible fluid flow, the continuity equation is essential for ensuring mass conservation, meaning that any change in fluid entering or exiting a region is balanced by a corresponding change elsewhere. For incompressible flow, where density remains constant, this requirement simplifies to the condition that the divergence of the velocity field must be zero. Mathematically, this is expressed as,
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Lateralization01:28

Lateralization

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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.
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Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

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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.
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Related Experiment Video

Updated: May 6, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
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Computation in the dorsal and ventral stream.

Peter Dixon1

  • 1a Department of Psychology , University of Alberta , Edmonton , Alberta , T6G 2E9 , Canada

Cognitive Neuroscience
|October 31, 2013
PubMed
Summary

New research suggests rethinking the dorsal and ventral visual streams by focusing on their distinct computations, rather than just specialization. Memory effects offer insights into these visual processing differences.

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Visual Perception

Background:

  • The dorsal and ventral visual streams are key pathways for visual information processing.
  • Current models often focus on relative specialization, which may not fully capture their functions.
  • Evidence from Schenk and McIntosh suggests limitations in existing frameworks.

Purpose of the Study:

  • To propose a new approach to understanding the function of the dorsal and ventral visual streams.
  • To shift focus from relative specialization to the specific computations performed by each stream.
  • To explore the role of memory in differentiating these visual computations.

Main Methods:

  • Theoretical analysis of existing evidence, particularly findings by Schenk and McIntosh.

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  • Conceptual framework development focusing on computational distinctions.
  • Examination of memory effects as a means to elucidate stream-specific computations.

    • Main Results:

    • The evidence supports a move beyond simple specialization models for visual streams.
    • Viewing streams through the lens of their distinct computations offers a more fruitful perspective.
    • Memory's influence highlights unique computational roles within each stream.

    Conclusions:

    • A computational approach is necessary for a deeper understanding of dorsal and ventral visual stream functions.
    • Future research should investigate the specific computations and memory interactions of these pathways.
    • This reframing offers a more nuanced model of visual processing.