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Individual differences in error tolerance in humans: Neurophysiological evidences.

Gonçalo Padrao1,2, Aida Mallorquí3, David Cucurell1,2

  • 1Cognition and Brain Plasticity Group [Bellvitge Biomedical Research Institute-] IDIBELL, L'Hospitalet de Llobregat, Barcelona, 08097, Spain.

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Summary

Individuals differ in error tolerance (ET). High ET individuals show reduced brain responses to feedback, suggesting they rely more on internal rules than external cues.

Keywords:
Action-monitoringDecision-makingERPsError toleranceIndividual differences

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Area of Science:

  • Cognitive Neuroscience
  • Neuroscience
  • Decision Making

Background:

  • Individual differences in error tolerance (ET) exist when humans encounter erroneous feedback.
  • Understanding the neurophysiological basis of these differences is crucial for comprehending decision-making in uncertain environments.

Purpose of the Study:

  • To investigate if individual differences in error tolerance (ET) are reflected in neurophysiological mechanisms.
  • To examine brain responses related to motivational states and feedback monitoring in individuals with high and low ET.

Main Methods:

  • Eighty participants completed a probabilistic reversal-learning task.
  • Event-related brain potentials (ERPs) were compared between high ET and low ET groups.
  • Stimulus-preceding negativity (SPN), Feedback-Related Negativity (FRN), and P300 components were analyzed.

Main Results:

  • High ET participants exhibited reduced anticipatory activity (lower SPN amplitude) before feedback.
  • Post-feedback processing showed reduced ERP amplitudes (FRN and P300) in the high ET group.
  • High ET individuals demonstrated decreased responsiveness to external feedback.

Conclusions:

  • Individual differences in error tolerance are linked to distinct neurophysiological mechanisms.
  • High ET is associated with a greater reliance on internal, rule-based strategies over external feedback.
  • Findings contribute to understanding cognitive and motivational processes underlying human fallibility and decision-making.