Reference Point-Dependent Reinforcement Learning in Humans and Rats

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This study demonstrated that reinforcement learning in humans and rats relies on reference-point dependence, indicating a conserved mechanism for relative value encoding across species.

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The paper investigated whether reference-point dependence, a computational mechanism proposed to encode relative value in reinforcement learning, is preserved across species by comparing humans and rats in parallel reinforcement learning tasks. Behavioral analyses showed robust relative value encoding in both species, and computational modeling indicated that reference-point dependence reliably explained learning behavior in humans and rats, despite some observed differences in behavioral and model parameters. A major stated caveat is that the work is presented as a preprint and has not been peer reviewed. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Rewards and punishments in reinforcement learning are encoded in both absolute and relative manners. Reference-point dependence, a valuation bias shared by adaptation-level and prospect theories, is often proposed as the computational mechanism underlying relative value encoding. However, the extent to which these behavioural and computational mechanisms are preserved across species is unclear. We therefore designed parallel reinforcement learning tasks in humans and rats to examine reference-point dependence across species. Behavioural analyses indicated robust relative value encoding in both species and computational modelling confirmed that reference-point dependence provides a reliable account of reinforcement learning behaviour in humans and rats. Despite these major similarities between species, some differences in behavioural and modelling parameters were observed. Overall, our study demonstrates that relative value encoding is a robust, conserved feature of reinforcement learning that is conserved across human and rat species.
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Reference-point dependence, a valuation bias shared by adaptation-level and prospect theories, is often proposed as the computational mechanism underlying relative value encoding. However, the extent to which these behavioural and computational mechanisms are preserved across species is unclear. We therefore designed parallel reinforcement learning tasks in humans and rats to examine reference-point dependence across species. Behavioural analyses indicated robust relative value encoding in both species and computational modelling confirmed that reference-point dependence provides a reliable account of reinforcement learning behaviour in humans and rats. Despite these major similarities between species, some differences in behavioural and modelling parameters were observed. Overall, our study demonstrates that relative value encoding is a robust, conserved feature of reinforcement learning that is conserved across human and rat species. Biological sciences/Neuroscience/Learning and memory Biological sciences/Psychology/Human behaviour Full Text Additional Declarations There is NO Competing Interest. Supplementary Files FergusonSoukupovaSuppRevisionFINAL.docx Supplementary information Cite Share Download PDF Status: Under Review Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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