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  1. Results that match 1 of 2 words

  2. Dr. Wolfram Schultz REFEREED PAPERS AND REVIEWS 166. Pastor-Bernier…

    https://www.pdn.cam.ac.uk/system/files/documents/wschultzpubs.pdf
    125. Schultz W. Updating dopamine reward signals. Curr Op Neurobiol 23: 229-238, 2013. ... Curr Op Neurobiol 14: 139-147, 2004. 85. Tobler PN, Dickinson A, Schultz W.
  3. CURRICULUM VITAE

    https://www.pdn.cam.ac.uk/system/files/documents/sue-jones-publications.pdf
    Curr Op Pharmacol 5:20-25. Jones, S. and Gutlerner, J.L. (2002). Addictive drugs modify excitatory synaptic control of midbrain dopamine cells.
  4. Adaptation of utility functions to reward distribution in rhesus…

    https://www.pdn.cam.ac.uk/system/files/documents/2020-phil1-biorxiv-v1.pdf
    One op-156 tion was always a gamble; the other was always a safe, guaranteed reward.
  5. Bundles fMRI JN rev2-2 Oct 2020 (v3)

    https://www.pdn.cam.ac.uk/system/files/documents/2020-leo-ssrn-3570488-v3.pdf
    WORKING PAPER 1 Uploaded to bioRxiv and SSRN 2. 3 4. Single-dimensional human brain signals for two-dimensional economic choice options 5 6. Leo Chi U Seak, Konstantin Volkmann, Alexandre Pastor-Bernier, Fabian Grabenhorst and 7 Wolfram Schultz 8. 9
  6. Probability Distortion Depends on Choice Sequence in Rhesus Monkeys

    https://www.pdn.cam.ac.uk/system/files/documents/2019-simone-jn.pdf
    Pchoose Gamble 1/1 e1kVGkVs (11). The weight parameter (k) captured the attentional shift toward one op-tion, if significantly 0.5.
  7. 15018468955234 1..18

    https://www.pdn.cam.ac.uk/system/files/documents/2017-zuzanna-elife.pdf
    For correspondence: c.clopath@. imperial.ac.uk (CC); op210@cam. ac.uk (OP). †These authors contributed.
  8. Utility functions predict variance and skewness risk preferences in…

    https://www.pdn.cam.ac.uk/system/files/documents/2016-wilfried-pnas.pdf
    ette. r op. tio. n c. ho. sen. 0. 100. 50. ... The monkeyspreferred variance-risk at low reward values and showed the op-posite preference at higher reward values (variance-risk avoid-ance), as predicted by their utility function.
  9. NEURONAL REWARD AND DECISION SIGNALS:FROM THEORIES TO DATAWolfram…

    https://www.pdn.cam.ac.uk/system/files/documents/2015-schultz-physiolrev.pdf
    NEURONAL REWARD AND DECISION SIGNALS:FROM THEORIES TO DATAWolfram Schultz. Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UnitedKingdom. LSchultz W. Neuronal Reward and Decision Signals: From Theories to
  10. Neuronal reward and decision signals: from theories to data ...

    https://www.pdn.cam.ac.uk/system/files/documents/2015-schultz-physiolrev-cont.pdf
    Neuronal reward and decision signals: from theories to data Wolfram Schultz Department of Physiology, Development and Neuroscience, University of Cambridge Cambridge CB2 3DY, United Kingdom ws234@cam.ac.uk Physiol Rev 95: 853-951, 2015 I.
  11. Dopamine prediction error responses integratesubjective value from…

    https://www.pdn.cam.ac.uk/system/files/documents/2014-armin-pnas.pdf
    Accordingly, optogenetic stimulation of striataldopamine D1 and D2 receptor-expressing neurons introduce op-posing biases in the distribution of choices (43, 44).

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