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Global reward state affects learning and activity in raphe nucleus and anterior insula in monkeys

Author

Listed:
  • Marco K. Wittmann

    (University of Oxford)

  • Elsa Fouragnan

    (University of Oxford
    University of Plymouth)

  • Davide Folloni

    (University of Oxford)

  • Miriam C. Klein-Flügge

    (University of Oxford)

  • Bolton K. H. Chau

    (The Hong Kong Polytechnic University)

  • Mehdi Khamassi

    (Sorbonne Université, CNRS, Institute of Intelligent Systems and Robotics)

  • Matthew F. S. Rushworth

    (University of Oxford
    University of Oxford)

Abstract

People and other animals learn the values of choices by observing the contingencies between them and their outcomes. However, decisions are not guided by choice-linked reward associations alone; macaques also maintain a memory of the general, average reward rate – the global reward state – in an environment. Remarkably, global reward state affects the way that each choice outcome is valued and influences future decisions so that the impact of both choice success and failure is different in rich and poor environments. Successful choices are more likely to be repeated but this is especially the case in rich environments. Unsuccessful choices are more likely to be abandoned but this is especially likely in poor environments. Functional magnetic resonance imaging (fMRI) revealed two distinct patterns of activity, one in anterior insula and one in the dorsal raphe nucleus, that track global reward state as well as specific outcome events.

Suggested Citation

  • Marco K. Wittmann & Elsa Fouragnan & Davide Folloni & Miriam C. Klein-Flügge & Bolton K. H. Chau & Mehdi Khamassi & Matthew F. S. Rushworth, 2020. "Global reward state affects learning and activity in raphe nucleus and anterior insula in monkeys," Nature Communications, Nature, vol. 11(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-17343-w
    DOI: 10.1038/s41467-020-17343-w
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    Cited by:

    1. Colin W. Hoy & David R. Quiroga-Martinez & Eduardo Sandoval & David King-Stephens & Kenneth D. Laxer & Peter Weber & Jack J. Lin & Robert T. Knight, 2023. "Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    2. Ethan Trepka & Mehran Spitmaan & Bilal A. Bari & Vincent D. Costa & Jeremiah Y. Cohen & Alireza Soltani, 2021. "Entropy-based metrics for predicting choice behavior based on local response to reward," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    3. Ruth Pauli & Inti A. Brazil & Gregor Kohls & Miriam C. Klein-Flügge & Jack C. Rogers & Dimitris Dikeos & Roberta Dochnal & Graeme Fairchild & Aranzazu Fernández-Rivas & Beate Herpertz-Dahlmann & Amaia, 2023. "Action initiation and punishment learning differ from childhood to adolescence while reward learning remains stable," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    4. Elsa F. Fouragnan & Billy Hosking & Yin Cheung & Brooke Prakash & Matthew Rushworth & Alejandra Sel, 2024. "Timing along the cardiac cycle modulates neural signals of reward-based learning," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    5. A. Calapai & J. Cabrera-Moreno & T. Moser & M. Jeschke, 2022. "Flexible auditory training, psychophysics, and enrichment of common marmosets with an automated, touchscreen-based system," Nature Communications, Nature, vol. 13(1), pages 1-16, December.

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