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VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data

Citations

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Cited by:

  1. Marie Devaine & Guillaume Hollard & Jean Daunizeau, 2014. "The Social Bayesian Brain: Does Mentalizing Make a Difference When We Learn?," PLOS Computational Biology, Public Library of Science, vol. 10(12), pages 1-14, December.
  2. 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.
  3. Giovanni Leone & Charlotte Postel & Alison Mary & Florence Fraisse & Thomas Vallée & Fausto Viader & Vincent Sayette & Denis Peschanski & Jaques Dayan & Francis Eustache & Pierre Gagnepain, 2022. "Altered predictive control during memory suppression in PTSD," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
  4. Chen Hu & Philippe Domenech & Mathias Pessiglione, 2020. "Order matters: How covert value updating during sequential option sampling shapes economic preference," PLOS Computational Biology, Public Library of Science, vol. 16(8), pages 1-23, August.
  5. Flavia Mancini & Suyi Zhang & Ben Seymour, 2022. "Computational and neural mechanisms of statistical pain learning," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  6. Hu, Xinyue & Koudahl, Magnus Tønder & Morville, Tobias & Siebner, Hartwig & Hulme, Oliver J, 2024. "Losing money: Risk preferences for losses from long-term endowments," OSF Preprints psy95_v1, Center for Open Science.
  7. Nura Sidarus & Stefano Palminteri & Valérian Chambon, 2019. "Cost-benefit trade-offs in decision-making and learning," PLOS Computational Biology, Public Library of Science, vol. 15(9), pages 1-28, September.
  8. Stefano Palminteri & Germain Lefebvre & Emma J Kilford & Sarah-Jayne Blakemore, 2017. "Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing," PLOS Computational Biology, Public Library of Science, vol. 13(8), pages 1-22, August.
  9. Marie Devaine & Jean Daunizeau, 2017. "Learning about and from others' prudence, impatience or laziness: The computational bases of attitude alignment," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-28, March.
  10. Lefebvre, Germain & Nioche, Aurélien & Bourgeois-Gironde, Sacha & Palminteri, Stefano, 2018. "An Empirical Investigation of the Emergence of Money: Contrasting Temporal Difference and Opportunity Cost Reinforcement Learning," MPRA Paper 85586, University Library of Munich, Germany.
  11. Joaquina Couto & Leendert van Maanen & Maël Lebreton, 2020. "Investigating the origin and consequences of endogenous default options in repeated economic choices," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-19, August.
  12. Luigi Acerbi & Kalpana Dokka & Dora E Angelaki & Wei Ji Ma, 2018. "Bayesian comparison of explicit and implicit causal inference strategies in multisensory heading perception," PLOS Computational Biology, Public Library of Science, vol. 14(7), pages 1-38, July.
  13. Wojciech Białaszek & Przemysław Marcowski & Paweł Ostaszewski, 2017. "Physical and cognitive effort discounting across different reward magnitudes: Tests of discounting models," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-25, July.
  14. Shawn A. Rhoads & Lin Gan & Kathryn Berluti & Katherine O’Connell & Jo Cutler & Patricia L. Lockwood & Abigail A. Marsh, 2025. "Neurocomputational basis of learning when choices simultaneously affect both oneself and others," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
  15. Chih-Chung Ting & Nahuel Salem-Garcia & Stefano Palminteri & Jan B. Engelmann & Maël Lebreton, 2023. "Neural and computational underpinnings of biased confidence in human reinforcement learning," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
  16. Laurel S Morris & Agnes Norbury & Derek A Smith & Neil A Harrison & Valerie Voon & James W Murrough, 2020. "Dissociating self-generated volition from externally-generated motivation," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-13, May.
  17. Stefano Palminteri & Mehdi Khamassi & Mateus Joffily & Giorgio Coricelli, 2015. "Contextual modulation of value signals in reward and punishment learning," Post-Print halshs-01236045, HAL.
  18. Alizée Lopez-Persem & Lionel Rigoux & Sacha Bourgeois-Gironde & Jean Daunizeau & Mathias Pessiglione, 2017. "Choose, rate or squeeze: Comparison of economic value functions elicited by different behavioral tasks," PLOS Computational Biology, Public Library of Science, vol. 13(11), pages 1-18, November.
  19. 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.
  20. 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.
  21. Zixuan Tang & Chen Qu & Yang Hu & Julien Benistant & Frederic Moisan & Edmund Derrington & Jean-Claude Dreher, 2023. "Strengths of social ties modulate brain computations for third-party punishment," Post-Print hal-04325737, HAL.
  22. 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.
  23. Rémi Philippe & Rémi Janet & Koosha Khalvati & Rajesh P. N. Rao & Daeyeol Lee & Jean-Claude Dreher, 2024. "Neurocomputational mechanisms involved in adaptation to fluctuating intentions of others," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  24. Fabien Vinckier & Lionel Rigoux & Irma T Kurniawan & Chen Hu & Sacha Bourgeois-Gironde & Jean Daunizeau & Mathias Pessiglione, 2019. "Sour grapes and sweet victories: How actions shape preferences," PLOS Computational Biology, Public Library of Science, vol. 15(1), pages 1-24, January.
  25. Jeroen P. H. Verharen & Johannes W. Jong & Yichen Zhu & Stephan Lammel, 2023. "A computational analysis of mouse behavior in the sucrose preference test," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  26. 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.
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