Irrational choices via a curvilinear representational geometry for value

Katarzyna Jurewicz, Brianna J. Sleezer, Priyanka S. Mehta, Benjamin Y. Hayden and R. Becket Ebitz ()
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Katarzyna Jurewicz: Université de Montréal
Brianna J. Sleezer: University of Minnesota
Priyanka S. Mehta: University of Minnesota
Benjamin Y. Hayden: Baylor College of Medicine
R. Becket Ebitz: Université de Montréal

Nature Communications, 2024, vol. 15, issue 1, 1-15

Abstract: Abstract We make decisions by comparing values, but it is not yet clear how value is represented in the brain. Many models assume, if only implicitly, that the representational geometry of value is linear. However, in part due to a historical focus on noisy single neurons, rather than neuronal populations, this hypothesis has not been rigorously tested. Here, we examine the representational geometry of value in the ventromedial prefrontal cortex (vmPFC), a part of the brain linked to economic decision-making, in two male rhesus macaques. We find that values are encoded along a curved manifold in vmPFC. This curvilinear geometry predicts a specific pattern of irrational decision-making: that decision-makers will make worse choices when an irrelevant, decoy option is worse in value, compared to when it is better. We observe this type of irrational choices in behavior. Together, these results not only suggest that the representational geometry of value is nonlinear, but that this nonlinearity could impose bounds on rational decision-making.

Date: 2024
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DOI: 10.1038/s41467-024-49568-4

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