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Area of Science:

  • Cognitive Neuroscience
  • Decision Science
  • Learning Psychology

Background:

  • Decision-making integrates trial-and-error learning and memory of context.
  • Information acquisition occurs through active experience or social observation.
  • Interactions between reinforcement learning and declarative memory in different learning settings are not well understood.

Purpose of the Study:

  • To investigate how reinforcement learning parameters interact with memory formation in experienced versus observational learning.
  • To differentiate individuals based on how they weigh learning signals from own experience and observed others.

Main Methods:

  • Participants engaged in a probabilistic decision-making task with outcomes mirroring or opposing an observed player.
  • Reinforcement learning models were fitted to individual subjects to analyze learning signal weighting.
  • Memory performance and subjective memory strength were assessed.

Main Results:

  • Participants weighting own experience more than observed others showed enhanced memory performance and subjective memory strength for high-reward situations.
  • Individuals not prioritizing own experience showed no significant influence of reinforcement learning parameters on memory.
  • Differential weighting of learning signals impacts memory consolidation.

Conclusions:

  • The interplay between implicit (reinforcement learning) and explicit (declarative memory) systems is modulated by how individuals weigh information from experience and observation.
  • Individual differences in prioritizing learning sources affect memory and decision-making processes.