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Related Concept Videos

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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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.
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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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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.
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Rapidly learned stimulus expectations alter perception of motion.

Matthew Chalk1, Aaron R Seitz, Peggy Seriès

  • 1IANC, School of Informatics, University of Edinburgh, Edinburgh, UK. m.j.chalk@sms.ed.ac.uk

Journal of Vision
|October 2, 2010
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Summary

New research shows that the brain quickly learns expectations for simple visual features, like motion direction. These learned expectations powerfully alter perception, leading to biases and even hallucinations.

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Area of Science:

  • Cognitive Neuroscience
  • Visual Perception
  • Statistical Learning

Background:

  • Expectations significantly shape sensory experiences, but the mechanisms of their acquisition and influence are unclear.
  • Implicit learning of stimulus statistics is a potential pathway for developing expectations.
  • Understanding how expectations form and affect perception is crucial for cognitive science.

Purpose of the Study:

  • To investigate if simple stimulus feature expectations can be implicitly acquired via rapid statistical learning.
  • To determine how these learned expectations influence the perception of visual motion.
  • To model the computational principles underlying expectation-driven perceptual biases.

Main Methods:

  • Participants were exposed to a statistical learning procedure involving varying directions of motion.
  • Perceptual judgments of new motion directions were recorded to assess behavioral biases.
  • A Bayesian model was employed to analyze how learned priors (expectations) interact with sensory evidence.

Main Results:

  • Participants rapidly and automatically developed expectations for frequently presented motion directions.
  • These expectations induced attractive biases in perceived motion direction.
  • Visual hallucinations (perceiving motion when absent) were observed, linked to learned expectations.
  • Observed biases were accurately predicted by a Bayesian model integrating prior expectations and sensory data.

Conclusions:

  • Stimulus expectations are learned implicitly and rapidly through statistical learning.
  • These learned expectations exert a powerful influence on the perception of simple visual features.
  • Bayesian principles effectively describe how the brain combines learned expectations with sensory evidence to guide perception.