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The neural computation of inconsistent choice behavior

Author

Listed:
  • Vered Kurtz-David

    (Tel Aviv University)

  • Dotan Persitz

    (Tel Aviv University)

  • Ryan Webb

    (University of Toronto
    University of Toronto)

  • Dino J. Levy

    (Tel Aviv University
    Tel Aviv University)

Abstract

Humans are often inconsistent (irrational) when choosing among simple bundles of goods, even without any particular changes to framing or context. However, the neural computations that give rise to such inconsistencies are still unknown. Similar to sensory perception and motor output, we propose that a substantial component of inconsistent behavior is due to variability in the neural computation of value. Here, we develop a novel index that measures the severity of inconsistency of each choice, enabling us to directly trace its neural correlates. We find that the BOLD signal in the vmPFC, ACC, and PCC is correlated with the severity of inconsistency on each trial and with the subjective value of the chosen alternative. This suggests that deviations from rational choice arise in the regions responsible for value computation. We offer a computational model of how variability in value computation is a source of inconsistent choices.

Suggested Citation

  • Vered Kurtz-David & Dotan Persitz & Ryan Webb & Dino J. Levy, 2019. "The neural computation of inconsistent choice behavior," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09343-2
    DOI: 10.1038/s41467-019-09343-2
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    Cited by:

    1. Yukalov, V.I., 2021. "A resolution of St. Petersburg paradox," Journal of Mathematical Economics, Elsevier, vol. 97(C).
    2. Ferro, Giuseppe M. & Kovalenko, Tatyana & Sornette, Didier, 2021. "Quantum decision theory augments rank-dependent expected utility and Cumulative Prospect Theory," Journal of Economic Psychology, Elsevier, vol. 86(C).
    3. Linda Q. Yu & Jason Dana & Joseph W. Kable, 2022. "Individuals with ventromedial frontal damage display unstable but transitive preferences during decision making," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    4. Michele Garagnani, 2023. "The predictive power of risk elicitation tasks," Journal of Risk and Uncertainty, Springer, vol. 67(2), pages 165-192, October.

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