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Related Concept Videos

Lazarus's Cognitive Appraisal Theory01:20

Lazarus's Cognitive Appraisal Theory

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Cognitive psychologist Richard Lazarus proposed the cognitive-mediational theory of emotions, which emphasizes how individuals' assessments of stressors significantly affect their experience of stress. According to Lazarus, the stress response is determined by a two-step appraisal process: primary appraisal and secondary appraisal. These cognitive appraisals help individuals evaluate the potential impact of a stressor and determine the adequacy of their coping resources.
Primary Appraisal:...
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Predicting the Irrelevant: Neural Effects of Distractor Predictability Depend on Load.

Troby Ka-Yan Lui1,2, Jonas Obleser1,2, Malte Wöstmann1,2

  • 1Department of Psychology, University of Lübeck, Lübeck, Germany.

The European Journal of Neuroscience
|January 24, 2025
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Summary
This summary is machine-generated.

Predictable distractors can reduce uncertainty by aiding the brain's predictive model, but this benefit depends on cognitive resources. Unpredictable distractors demand more cognitive resources and may misdirect attention.

Keywords:
attentionauditorydistractionloadmemoryprediction

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Area of Science:

  • Cognitive Neuroscience
  • Auditory Perception
  • Predictive Coding

Background:

  • Distraction is common, and predictable distractors may offer processing advantages.
  • Understanding how humans exploit distractor predictability is crucial for cognitive models.
  • The role of cognitive resources in utilizing predictable distractors remains unclear.

Purpose of the Study:

  • To investigate if predictable distractors reduce uncertainty in internal predictive model updating.
  • To examine the neural and behavioral effects of predictable versus unpredictable distractors.
  • To determine the influence of perceptual and cognitive load on distractor predictability utilization.

Main Methods:

  • An auditory spatial n-back task with predictable and unpredictable auditory distractors.
  • Electroencephalography (EEG) to record neural responses.
  • Behavioral analysis of response strategies under varying task demands.

Main Results:

  • Predictable distractors decreased uncertainty and reduced the need for predictive model updating.
  • Neural responses (alpha oscillations, P2, frontal negativity) differed for predictable vs. unpredictable distractors.
  • Distractor predictability benefits were resource-dependent, particularly under low cognitive load.

Conclusions:

  • Predictable distractors can be exploited to decrease uncertainty, aiding predictive processing.
  • Unpredictable distractors elicit stronger neural responses and increase cognitive load.
  • The utilization of predictable distractors is not fully automatic and depends on available cognitive resources.