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Related Concept Videos

Color Vision01:24

Color Vision

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Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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Related Experiment Video

Updated: May 1, 2026

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition
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Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

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Auditory context-dependent distraction by unexpected visual stimuli.

Fabrice B R Parmentier1,2,3, Michael English4, Murray T Maybery4

  • 1Department of Psychology, University of the Balearic Islands, Ctra. De Valldemossa, Km 7.5, Palma de Mallorca, Balearic Islands, Spain. fabrice.parmentier@uib.es.

Psychonomic Bulletin & Review
|June 3, 2024
PubMed
Summary
This summary is machine-generated.

Sensory predictions are influenced by environmental context. Unexpected stimuli within an auditory context slow down task performance, demonstrating auditory context-dependent attention modulation.

Keywords:
AttentionDistractionEnvironmental contextOddball

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Auditory Perception

Background:

  • The deviance distraction effect occurs when task-irrelevant stimuli violate predictable patterns, slowing responses.
  • This effect is linked to the violation of sensory predictions made by the cognitive system.
  • Previous research has not explored if auditory environments can modulate these sensory predictions.

Purpose of the Study:

  • To investigate whether sensory predictions can be incidentally modulated by the auditory environment.
  • To examine context-dependent distraction in a categorization task.
  • To determine if auditory context influences attention.

Main Methods:

  • Participants performed a duration categorization task (short vs. long) on visual stimuli (colored shapes).
  • Visual features and background sounds (distinct chords) were manipulated.
  • Auditory contexts determined the probability of visual stimuli, creating expected and unexpected scenarios.

Main Results:

  • Participants responded significantly slower when stimuli were unexpected within a specific auditory context (context-dependent distraction).
  • Sensory prediction reset occurred after a change in auditory context.
  • This demonstrates auditory context-dependent modulation of attention.

Conclusions:

  • Object features and environmental context are processed interactively.
  • Sensory predictions are generated in relation to the environmental context.
  • This study provides the first evidence of auditory context-dependent attention modulation.