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Episodic memory encoding interferes with reward learning and decreases striatal prediction errors.

G Elliott Wimmer1, Erin Kendall Braun2, Nathaniel D Daw3

  • 1Department of Psychology and Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany, and shohamy@psych.columbia.edu elliott@caa.columbia.edu.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|November 8, 2014
PubMed
Summary
This summary is machine-generated.

Better memory encoding reduces reliance on recent rewards for decision-making. This suggests memory and reward learning interact, impacting choices and brain activity in the striatum.

Keywords:
decision makinghippocampuslearningmemoryrewardstriatum

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Decision Science

Background:

  • The striatum and hippocampus are crucial for reward learning and episodic memory, respectively.
  • These learning systems traditionally studied separately, likely interact during complex experiences.

Purpose of the Study:

  • To investigate the interaction between incremental reward learning and episodic memory encoding.
  • To understand how concurrent memory encoding influences reward-based decision-making.

Main Methods:

  • Human participants made choices with variable reward probabilities while viewing incidental images.
  • A surprise memory test assessed recall of these images the following day.
  • Functional magnetic resonance imaging (fMRI) analyzed brain activity and connectivity during the task.

Main Results:

  • Stronger episodic memory correlated with reduced influence of recent rewards on choices.
  • Weaker striatal reward prediction error signals were observed with enhanced episodic memory.
  • Increased hippocampal-striatal connectivity was linked to decreased reward prediction error signals.

Conclusions:

  • Episodic memory encoding may compete with striatal processing for reward information.
  • Interactions between memory and reward learning systems shape adaptive decision-making.