IDEAS home Printed from https://ideas.repec.org/r/nat/nature/v442y2006i7106d10.1038_nature05051.html
   My bibliography  Save this item

Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Necker, Sarah & Ziegelmeyer, Michael, 2016. "Household risk taking after the financial crisis," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 141-160.
  2. Daniel Serra, 2021. "Decision-making: from neuroscience to neuroeconomics—an overview," Theory and Decision, Springer, vol. 91(1), pages 1-80, July.
  3. Kuhnen, Camelia M. & Miu, Andrei C., 2017. "Socioeconomic status and learning from financial information," Journal of Financial Economics, Elsevier, vol. 124(2), pages 349-372.
  4. Tal Neiman & Yonatan Loewenstein, 2011. "Reinforcement learning in professional basketball players," Discussion Paper Series dp593, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
  5. Sophie Massin, 2011. "La notion d'addiction en économie : La théorie du choix rationnel à l'épreuve," Revue d'économie politique, Dalloz, vol. 121(5), pages 713-750.
  6. Biele, Guido & Rieskamp, Jörg & Krugel, Lea K. & Heekeren, Hauke R., 2011. "The neural basis of following advice," SFB 649 Discussion Papers 2011-038, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  7. Filip Grill & Marc Guitart-Masip & Jarkko Johansson & Lars Stiernman & Jan Axelsson & Lars Nyberg & Anna Rieckmann, 2024. "Dopamine release in human associative striatum during reversal learning," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
  8. Antoine Collomb-Clerc & Maëlle C. M. Gueguen & Lorella Minotti & Philippe Kahane & Vincent Navarro & Fabrice Bartolomei & Romain Carron & Jean Regis & Stephan Chabardès & Stefano Palminteri & Julien B, 2023. "Human thalamic low-frequency oscillations correlate with expected value and outcomes during reinforcement learning," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
  9. Karima Chakroun & Antonius Wiehler & Ben Wagner & David Mathar & Florian Ganzer & Thilo Eimeren & Tobias Sommer & Jan Peters, 2023. "Dopamine regulates decision thresholds in human reinforcement learning in males," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
  10. George I. Christopoulos & Xiao-Xiao Liu & Ying-yi Hong, 2017. "Toward an Understanding of Dynamic Moral Decision Making: Model-Free and Model-Based Learning," Journal of Business Ethics, Springer, vol. 144(4), pages 699-715, September.
  11. Gifford Jr., Adam, 2009. "Cultural, cognition and human action," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(1), pages 13-24, January.
  12. Maël Lebreton & Karin Bacily & Stefano Palminteri & Jan B Engelmann, 2019. "Contextual influence on confidence judgments in human reinforcement learning," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-27, April.
  13. Kuhnen, Camelia M. & Knutson, Brian, 2011. "The Influence of Affect on Beliefs, Preferences, and Financial Decisions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(3), pages 605-626, June.
  14. Romane Cecchi & Antoine Collomb-Clerc & Inès Rachidi & Lorella Minotti & Philippe Kahane & Mathias Pessiglione & Julien Bastin, 2024. "Direct stimulation of anterior insula and ventromedial prefrontal cortex disrupts economic choices," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  15. Manuel Glauco Carbone & Icro Maremmani, 2024. "Chronic Cocaine Use and Parkinson’s Disease: An Interpretative Model," IJERPH, MDPI, vol. 21(8), pages 1-23, August.
  16. Paul M Bays & Ben A Dowding, 2017. "Fidelity of the representation of value in decision-making," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-16, March.
  17. Daniel Serra, 2019. "Neuroeconomics and modern neuroscience," CEE-M Working Papers halshs-02160907, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
  18. Davide Cenci & Manuel Glauco Carbone & Camilla Callegari & Icro Maremmani, 2022. "Psychomotor Symptoms in Chronic Cocaine Users: An Interpretative Model," IJERPH, MDPI, vol. 19(3), pages 1-10, February.
  19. He A Xu & Alireza Modirshanechi & Marco P Lehmann & Wulfram Gerstner & Michael H Herzog, 2021. "Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making," PLOS Computational Biology, Public Library of Science, vol. 17(6), pages 1-32, June.
  20. Hanan Shteingart & Tal Neiman & Yonatan Loewenstein, 2012. "The Role of First Impression in Operant Learning," Discussion Paper Series dp626, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
  21. David Vaquero-Puyuelo & Concepción De-la-Cámara & Beatriz Olaya & Patricia Gracia-García & Antonio Lobo & Raúl López-Antón & Javier Santabárbara, 2021. "Anhedonia as a Potential Risk Factor of Alzheimer’s Disease in a Community-Dwelling Elderly Sample: Results from the ZARADEMP Project," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
  22. Hachi E. Manzur & Ksenia Vlasov & You-Jhe Jhong & Hung-Yen Chen & Shih-Chieh Lin, 2023. "The behavioral signature of stepwise learning strategy in male rats and its neural correlate in the basal forebrain," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  23. Michael J. Colwell & Hosana Tagomori & Fei Shang & Hoi Iao Cheng & Chloe E. Wigg & Michael Browning & Philip J. Cowen & Susannah E. Murphy & Catherine J. Harmer, 2024. "Direct serotonin release in humans shapes aversive learning and inhibition," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
  24. Reimann, Martin & Bechara, Antoine, 2010. "The somatic marker framework as a neurological theory of decision-making: Review, conceptual comparisons, and future neuroeconomics research," Journal of Economic Psychology, Elsevier, vol. 31(5), pages 767-776, October.
  25. repec:mea:meawpa:14279 is not listed on IDEAS
  26. Agnieszka Boroń & Małgorzata Śmiarowska & Anna Grzywacz & Krzysztof Chmielowiec & Jolanta Chmielowiec & Jolanta Masiak & Tomasz Pawłowski & Dariusz Larysz & Andrzej Ciechanowicz, 2022. "Association of Polymorphism within the Putative miRNA Target Site in the 3′UTR Region of the DRD2 Gene with Neuroticism in Patients with Substance Use Disorder," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
  27. Stefano Palminteri & Emma J Kilford & Giorgio Coricelli & Sarah-Jayne Blakemore, 2016. "The Computational Development of Reinforcement Learning during Adolescence," PLOS Computational Biology, Public Library of Science, vol. 12(6), pages 1-25, June.
  28. Bruno B Averbeck, 2015. "Theory of Choice in Bandit, Information Sampling and Foraging Tasks," PLOS Computational Biology, Public Library of Science, vol. 11(3), pages 1-28, March.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.