IDEAS home Printed from https://ideas.repec.org/a/nat/nathum/v3y2019i11d10.1038_s41562-019-0714-3.html
   My bibliography  Save this article

Flexible combination of reward information across primates

Author

Listed:
  • Shiva Farashahi

    (Dartmouth College)

  • Christopher H. Donahue

    (The Gladstone Institutes
    Yale School of Medicine)

  • Benjamin Y. Hayden

    (University of Minnesota)

  • Daeyeol Lee

    (Yale School of Medicine
    Johns Hopkins University)

  • Alireza Soltani

    (Dartmouth College)

Abstract

A fundamental but rarely contested assumption in economics and neuroeconomics is that decision-makers compute subjective values of risky options by multiplying functions of reward probability and magnitude. By contrast, an additive strategy for valuation allows flexible combination of reward information required in uncertain or changing environments. We hypothesized that the level of uncertainty in the reward environment should determine the strategy used for valuation and choice. To test this hypothesis, we examined choice between risky options in humans and rhesus macaques across three tasks with different levels of uncertainty. We found that whereas humans and monkeys adopted a multiplicative strategy under risk when probabilities are known, both species spontaneously adopted an additive strategy under uncertainty when probabilities must be learned. Additionally, the level of volatility influenced relative weighting of certain and uncertain reward information, and this was reflected in the encoding of reward magnitude by neurons in the dorsolateral prefrontal cortex.

Suggested Citation

  • Shiva Farashahi & Christopher H. Donahue & Benjamin Y. Hayden & Daeyeol Lee & Alireza Soltani, 2019. "Flexible combination of reward information across primates," Nature Human Behaviour, Nature, vol. 3(11), pages 1215-1224, November.
  • Handle: RePEc:nat:nathum:v:3:y:2019:i:11:d:10.1038_s41562-019-0714-3
    DOI: 10.1038/s41562-019-0714-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41562-019-0714-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41562-019-0714-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kiyohito Iigaya & Sanghyun Yi & Iman A. Wahle & Sandy Tanwisuth & Logan Cross & John P. O’Doherty, 2023. "Neural mechanisms underlying the hierarchical construction of perceived aesthetic value," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    2. Maya Zhe Wang & Benjamin Y. Hayden & Sarah R. Heilbronner, 2022. "A structural and functional subdivision in central orbitofrontal cortex," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    3. Leo Chi U Seak & Simone Ferrari-Toniolo & Ritesh Jain & Kirby Nielsen & Wolfram Schultz, 2023. "Systematic comparison of risky choices in humans and monkeys," Working Papers 202316, University of Liverpool, Department of Economics.
    4. Mehran Spitmaan & Oihane Horno & Emily Chu & Alireza Soltani, 2019. "Combinations of low-level and high-level neural processes account for distinct patterns of context-dependent choice," PLOS Computational Biology, Public Library of Science, vol. 15(10), pages 1-31, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nathum:v:3:y:2019:i:11:d:10.1038_s41562-019-0714-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.