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Extinction Training During the Reconsolidation Window Prevents Recovery of Fear
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The partial-reinforcement extinction effect and the contingent-sampling hypothesis.

Guy Hochman1, Ido Erev

  • 1Duke University, 2024 W. Main Street, Erwin Mill Bldg., Bay C, Durham, NC, 27705, USA, guy.hochman@duke.edu.

Psychonomic Bulletin & Review
|April 19, 2013
PubMed
Summary
This summary is machine-generated.

Learning under partial reinforcement is more resistant to extinction, but this effect is complex. This study clarifies when partial reinforcement benefits behavior, finding it depends on the alternative option's attractiveness.

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Area of Science:

  • Behavioral Psychology
  • Decision Making
  • Reinforcement Learning

Background:

  • The partial-reinforcement extinction effect (PREE) suggests partial reinforcement enhances learning robustness compared to full reinforcement.
  • Laboratory findings support PREE, but field research has yielded contradictory results, necessitating further investigation.

Purpose of the Study:

  • To reconcile conflicting findings on the partial-reinforcement extinction effect (PREE).
  • To investigate how the attractiveness of alternative behaviors influences the PREE in real-world scenarios.

Main Methods:

  • Two experiments were conducted to examine the PREE under varying reinforcement schedules and alternative option attractiveness.
  • A contingent-sampling model was employed to analyze decision-making patterns based on past reward experiences.

Main Results:

  • Partial reinforcement increased selection of the promoted option during extinction but had a smaller positive impact than its negative training-phase effect.
  • The overall effect of partial reinforcement was inversely related to the alternative option's attractiveness: negative for attractive alternatives, positive for unattractive ones.

Conclusions:

  • The PREE's applicability is contingent on the context, particularly the perceived value of alternative behaviors.
  • A contingent-sampling model, defining similarity by recent outcome sequences, effectively explains these nuanced reinforcement effects.