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Related Concept Videos

Vision01:24

Vision

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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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Muscle Coordination and Action01:24

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Visual System01:26

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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.
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A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
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Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
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Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

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Vision and Action.

Mary M Hayhoe1

  • 1Center for Perceptual Systems, University of Texas at Austin, Texas 78712;

Annual Review of Vision Science
|July 19, 2017
PubMed
Summary
This summary is machine-generated.

Understanding how we see and act involves recognizing behavioral goals and decision-making. Vision guides actions by providing information for sequential sensory-motor decisions to achieve these goals.

Keywords:
memorynatural behaviorpredictionreachingsaccadessensory-motor decisionsstatistical decision theory

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Area of Science:

  • Cognitive Neuroscience
  • Visual Perception
  • Motor Control

Background:

  • Natural behavior studies reveal vision's role in guiding actions.
  • Human actions involve continuous sensory-motor decisions tied to behavioral goals.

Purpose of the Study:

  • To explore how vision guides actions through decision-making.
  • To formalize visually guided actions within statistical decision theory.

Main Methods:

  • Investigated natural behaviors to understand visual guidance.
  • Applied statistical decision theory to model sensory-motor decisions.

Main Results:

  • Vision provides crucial information for effective decision-making in action sequences.
  • Behavioral goals, rewards, costs, uncertainty, and prior knowledge are key decision components.

Conclusions:

  • Visually guided actions are best understood as sequences of decisions.
  • Statistical decision theory offers a robust framework for studying vision and action.