ArticleProceedings of the National Academy of Sciences of the United States of America2021
Preferences for nutrients and sensory food qualities identify biological sources of economic values in monkeys.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 20 citations in OpenAlex.
- Divergent neural representations of space and task between physical and virtual navigation in macaques.Nature communications · 2026Article
- Preferences for fat, sugar, and oral-sensory food qualities in monkeys and humans.Physiology & behavior · 2025Review
- The interoceptive origin of reinforcement learning.Trends in cognitive sciences · 2025Review
- A Neural Mechanism in the Human Orbitofrontal Cortex for Preferring High-Fat Foods Based on Oral Texture.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Nutrient-Sensitive Reinforcement Learning in Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Prefrontal cortex interactions with the amygdala in primates.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Review
- Food preference assay in male and female C57BL/6 mice.Journal of neuroscience methods · 2022Article
- Food reward derives from nutrient content and sensory qualities.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
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Authors and funding
3 authors at 1 institution in 1 country.
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Abstract
Value is a foundational concept in reinforcement learning and economic choice theory. In these frameworks, individuals choose by assigning values to objects and learn by updating values with experience. These theories have been instrumental for revealing influences of probability, risk, and delay on choices. However, they do not explain how values are shaped by intrinsic properties of the choice objects themselves. Here, we investigated how economic value derives from the biologically critical components of foods: their nutrients and sensory qualities. When monkeys chose nutrient-defined liquids, they consistently preferred fat and sugar to low-nutrient alternatives. Rather than maximizing energy indiscriminately, they seemed to assign subjective values to specific nutrients, flexibly trading them against offered reward amounts. Nutrient-value functions accurately modeled these preferences, predicted choices across contexts, and accounted for individual differences. The monkeys' preferences shifted their daily nutrient balance away from dietary reference points, contrary to ecological foraging models but resembling human suboptimal eating in free-choice situations. To identify the sensory basis of nutrient values, we developed engineering tools that measured food textures on biological surfaces, mimicking oral conditions. Subjective valuations of two key texture parameters-viscosity and sliding friction-explained the monkeys' fat preferences, suggesting a texture-sensing mechanism for nutrient values. Extended reinforcement learning and choice models identified candidate neuronal mechanisms for nutrient-sensitive decision-making. These findings indicate that nutrients and food textures constitute critical reward components that shape economic values. Our nutrient-choice paradigm represents a promising tool for studying food-reward mechanisms in primates to better understand human-like eating behavior and obesity.
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