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Related Concept Videos

Perception01:28

Perception

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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
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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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Factors Affecting Perception01:25

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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
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Purposive Learning01:22

Purposive Learning

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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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Perceptual Constancy01:12

Perceptual Constancy

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Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
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Cognitive Learning01:21

Cognitive Learning

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
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Visualizing Visual Adaptation
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Many Roads Lead to Rome: Differential Learning Processes for the Same Perceptual Improvement.

Yangyang Du1, Gongliang Zhang2, Wu Li1

  • 1State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University.

Psychological Science
|December 6, 2022
PubMed
Summary
This summary is machine-generated.

Training perceptual skills can adapt. Focused training improves specific locations, while distributed training generalizes learning across multiple locations, showing flexible perceptual learning mechanisms.

Keywords:
learning specificitylearning transferorientation discriminationperceptual learningretentiontilt aftereffect

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Perception

Background:

  • Perceptual learning typically enhances abilities with practice.
  • It remains unclear if the underlying neural mechanisms adapt to different training conditions.

Purpose of the Study:

  • To investigate if perceptual learning mechanisms can be flexibly adjusted based on training parameters.
  • To compare the effects of focused versus distributed training on orientation discrimination.

Main Methods:

  • Adult observers were trained on an orientation-discrimination task.
  • Training was conducted either at a single (focused) or multiple (distributed) retinal locations.
  • Discriminability and bias were measured at trained and untrained locations.

Main Results:

  • Both focused and distributed training equally improved orientation discriminability.
  • Distributed training led to generalization of practice effects to untrained locations.
  • Focused training resulted in practice effects specific to the trained location.
  • Training methods also influenced the long-term retention of perceptual improvements.

Conclusions:

  • Perceptual learning can be modulated by training paradigms.
  • Distributed training engages location-invariant representations, while focused training engages location-specific representations.
  • These findings suggest flexible engagement of neural representations during perceptual skill acquisition.