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Reward Uncertainty and Expected Value Enhance Generalization of Episodic Memory

Author

Listed:
  • Yang Yue

    (School of Psychology, Northeast Normal University, Changchun 130024, China
    These authors contributed equally to this work.)

  • Yingjie Jiang

    (School of Psychology, Northeast Normal University, Changchun 130024, China
    These authors contributed equally to this work.)

  • Fan Zhou

    (School of Psychology, Northeast Normal University, Changchun 130024, China)

  • Yuantao Jiang

    (School of Psychology, Northeast Normal University, Changchun 130024, China)

  • Yiting Long

    (School of Psychology, Northeast Normal University, Changchun 130024, China)

  • Kaiyu Wang

    (School of Psychology, Northeast Normal University, Changchun 130024, China)

Abstract

Previous research has revealed some mechanisms underlying the generalization of reward expectation of generalization stimuli, but little is known about the generalization of episodic memory for rewarding events, its consolidation, and how reward components such as expected value and reward uncertainty affect it. Participants underwent a Pavlovian reward-conditioning task to test whether reward conditioning would enhance episodic memory generalization and which reward components would directly affect it. Counterbalanced across participants, one semantic category was paired with a reward, while the other was never paired. Following a delay of either 5 min or 24 h, participants took a memory test consisting of old, highly similar, and new items. We found that participants were more likely to falsely recognize lure items as old in the reward-paired category after 5 min and 24 h delays. These results indicate that reward conditioning enhanced the generalization of episodic memory, but this effect was not necessarily dependent on consolidation. The composite score and raw data of generalization further showed that the uncertainty and expected value enhanced generalization. Together, these findings revealed an effect of reward conditioning on episodic memory generalization and supported the enhancement effects of expected value and uncertainty.

Suggested Citation

  • Yang Yue & Yingjie Jiang & Fan Zhou & Yuantao Jiang & Yiting Long & Kaiyu Wang, 2022. "Reward Uncertainty and Expected Value Enhance Generalization of Episodic Memory," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:14389-:d:962050
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    References listed on IDEAS

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    1. Kuhn, Max, 2008. "Building Predictive Models in R Using the caret Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i05).
    2. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    3. Joseph E. Dunsmoor & Vishnu P. Murty & Lila Davachi & Elizabeth A. Phelps, 2015. "Emotional learning selectively and retroactively strengthens memories for related events," Nature, Nature, vol. 520(7547), pages 345-348, April.
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