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        <identifier>oai:figshare.com:article/24356815</identifier>
        <datestamp>2023-10-23T17:03:19Z</datestamp>
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          <identifier identifierType="DOI">10.5522/04/24356815.v1</identifier>
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          <creators>
            <creator>
              <creatorName>Erlich, Jeffrey</creatorName>
              <givenName>Jeffrey</givenName>
              <familyName>Erlich</familyName>
              <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org">0000-0001-9073-7986</nameIdentifier>
            </creator>
            <creator>
              <creatorName>Bao, Chaofei</creatorName>
              <givenName>Chaofei</givenName>
              <familyName>Bao</familyName>
            </creator>
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          <titles>
            <title><![CDATA[BRMS model results from three-agent model of risky choice]]></title>
          </titles>
          <subjects>
            <subject>Modelling and simulation</subject>
            <subject>Stochastic analysis and modelling</subject>
            <subject>Economic models and forecasting</subject>
            <subject>Behavioural neuroscience</subject>
            <subject>brms</subject>
            <subject>stan</subject>
            <subject>Bayesian</subject>
            <subject>Risk tolerance</subject>
            <subject>muscimol</subject>
            <subject>halorhodopsin</subject>
            <subject>Rat Animal models</subject>
          </subjects>
          <dates>
            <date dateType="Created">2023-10-23</date>
            <date dateType="Updated">2023-10-23</date>
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          <resourceType resourceTypeGeneral="Dataset">Dataset</resourceType>
          <publicationYear>2023</publicationYear>
          <publisher>University College London</publisher>
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          <descriptions>
            <description descriptionType="Abstract"><![CDATA[<p>The zip contains RData files which contain R workspaces that have the results of our model fits of the three agent model, to various experiments associated with the paper:</p>
<p><br></p>
<p>"The rat frontal orienting field dynamically encodes value for economic decisions under risk". </p>
<p>Bao, C.†, Zhu, X.†, Moller-Mara, J., Li, J., Dubroqua, S., & Erlich, J. C. (2023). Nature Neuroscience. https://doi.org/10.1038/s41593-023-01461-x</p>
<p>† These authors contributed equally to the work. </p>
<p><br></p>
<p>The following git repo has related code:</p>
<p>https://github.com/erlichlab/risk-fof-ppc-2023</p>
<p><br></p>]]></description>
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