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Parallel Processing01:20

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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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Vision01:24

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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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Depth Perception and Spatial Vision01:15

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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.
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Uniform Depth Channel Flow: Problem Solving01:18

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

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Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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Related Experiment Video

Updated: Sep 5, 2025

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
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Dual counterstream architecture may support separation between vision and predictions.

Mateja Marić1, Dražen Domijan1

  • 1University of Rijeka, Rijeka, Croatia.

Consciousness and Cognition
|July 6, 2022
PubMed
Summary

Visual processing uses prediction errors between sensory data and generative models. Two parallel streams, supragranular and infragranular, compete, with one stream remaining impenetrable to cognitive influences.

Keywords:
AttentionCognitive penetrability of visionContextCounterstreamsFeedback projectionsPredictive coding

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Vision

Background:

  • Visual processing models often assume a single pathway.
  • The predictive coding framework suggests top-down influences on vision.
  • Understanding the neural basis of visual perception is crucial.

Purpose of the Study:

  • To review anatomical and functional data on visual processing streams.
  • To propose a model of two parallel, independent visual processing streams.
  • To explain how cognitive impenetrability is maintained in vision.

Main Methods:

  • Review of anatomical and functional neuroimaging data.
  • Analysis of feedforward and feedback projection organization.
  • Theoretical modeling based on predictive coding principles.

Main Results:

  • Identification of two parallel processing streams: supragranular and infragranular counterstreams.
  • Supragranular stream computes surface/motion in depth based on physical regularities.
  • Infragranular stream integrates vision with cognition based on learned regularities.
  • These streams compete, with only one outputting to higher-order areas.

Conclusions:

  • The two-stream model explains how vision can be both cognitively penetrable and impenetrable.
  • The supragranular stream remains cognitively impenetrable due to its specialized function.
  • This parallel processing architecture supports robust and flexible visual perception.