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Related Concept Videos

Perception01:28

Perception

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...
Perceptual Constancy01:12

Perceptual Constancy

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...
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...
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
Introduction to Sensory Receptors01:31

Introduction to Sensory Receptors

Sensory receptors are vital in our ability to perceive and interpret the world. Sensory receptors are specialized cells in the peripheral nervous system that respond to various stimuli and enable one to experience different sensations. Based on specific criteria, sensory receptors are classified into distinct types.
The first classification criterion is based on cell type, position, and function. Some receptor cells are neurons with free nerve endings, where their dendrites are embedded in the...
Factors Affecting Perception01:25

Factors Affecting Perception

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.
An illustrative example of a perceptual set is the scenario where an airline pilot told...

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Related Experiment Video

Updated: May 29, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Perceptual classification in a rapidly changing environment.

Christopher Summerfield1, Timothy E Behrens, Etienne Koechlin

  • 1Department of Experimental Psychology, University of Oxford, South Parks Road, Oxford OX1 3UD, UK. christopher.summerfield@psy.ox.ac.uk

Neuron
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

Humans adapt visual categorization strategies based on environmental stability. A working memory model best explains performance in rapidly changing environments, while optimal learning models prevail in stable conditions.

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Related Experiment Videos

Last Updated: May 29, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

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

Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Neuroimaging

Background:

  • Humans and monkeys can learn stable perceptual categories.
  • Little is known about categorization in rapidly changing environments.

Purpose of the Study:

  • Investigate how humans categorize visual stimuli in unpredictable, volatile environments.
  • Compare computational models of learning and cognitive strategies.

Main Methods:

  • Used computational modeling and functional neuroimaging (fMRI).
  • Presented visual stimuli from categories with unpredictable mean and variance shifts.
  • Compared Bayesian (optimal learning) and working memory models.

Main Results:

  • Both Bayesian and working memory models explained unique variance in behavior and brain activity.
  • The working memory model best predicted performance in volatile environments.
  • Statistically optimal performance was observed during stable periods.
  • Distinct prefrontal cortex and midbrain regions were associated with each model.

Conclusions:

  • Perceptual categorization in changing environments involves multiple control systems.
  • Working memory and optimal learning strategies are flexibly deployed based on environmental stability.