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Selected publications of Florent Meyniel
Articles in journals
  1. Cedric Foucault and Florent Meyniel. Two determinants of dynamic adaptive learning for magnitudes and probabilities. Open Mind, 8:615--638, 2024. [WWW]


  2. Arthur Prat-Carrabin, Florent Meyniel, and Rava Azeredo da Silveira. Resource-rational account of sequential effects in human prediction. Elife, 13:e81256, 2024. [WWW]


  3. Tiffany Bounmy, Evelyn Eger, and Florent Meyniel. A characterization of the neural representation of confidence during probabilistic learning. NeuroImage, 268:119849, 2023. [WWW] [Abstract]


  4. Audrey Mazancieux, Franck Mauconduit, Alexis Amadon, Jan Willem de Gee, Tobias H. Donner, and Florent Meyniel. Brainstem fMRI signaling of surprise across different types of deviant stimuli. Cell Reports, 42(11):113405, 2023. [WWW] [Abstract]


  5. Edgar Y Walker, Stephan Pohl, Rachel N Denison, David L Barack, Jennifer Lee, Ned Block, Wei Ji Ma, and Florent Meyniel. Studying the neural representations of uncertainty. Nature Neuroscience, 2023. [WWW]


  6. Maxime Maheu, Florent Meyniel, and Stanislas Dehaene. Rational arbitration between statistics and rules in human sequence processing. Nat Hum Behav, 2022. [WWW] [PDF]


  7. Cedric Foucault and Florent Meyniel. Gated recurrence enables simple and accurate sequence prediction in stochastic, changing, and structured environments. bioRxiv, 2021. [WWW]


  8. Cedric Foucault and Florent Meyniel. Gated recurrence enables simple and accurate sequence prediction in stochastic, changing, and structured environments. Elife, 10:e71801, 2021. [WWW]


  9. Maxime Maheu, Florent Meyniel, and Stanislas Dehaene. Rational arbitration between statistics and rules in human sequence processing. bioRxiv, 2021.


  10. Samuel Planton, Timo van Kerkoerle, Leïla Abbih, Maxime Maheu, Florent Meyniel, Mariano Sigman, Liping Wang, Santiago Figueira, Sergio Romano, and Stanislas Dehaene. A theory of memory for binary sequences: Evidence for a mental compression algorithm in humans. PLoS computational biology, 17(1):e1008598, 2021. [WWW]


  11. Claire Sergent, Martina Corazzol, Ghislaine Labouret, François Stockart, Mark Wexler, Jean-Rémi King, Florent Meyniel, and Daniel Pressnitzer. Bifurcation in brain dynamics reveals a signature of conscious processing independent of report. Nature Communications, 12(1):1--19, 2021. [WWW]


  12. Maxime Maheu, Florent Meyniel, and Stanislas Dehaene. Rational arbitration between statistics and rules in human sequence learning. bioRxiv, 2020. [WWW] [PDF] [Abstract]


  13. Samuel Planton, Timo van Kerkoerle, Leïla Abbih, Maxime Maheu, Florent Meyniel, Mariano Sigman, Liping Wang, Santiago Figueira, Sergio Romano, and Stanislas Dehaene. Mental compression of binary sequences in a language of thought. 2020. [WWW]


  14. Niklas Wilming, Peter R Murphy, Florent Meyniel, and Tobias H Donner. Large-scale dynamics of perceptual decision information across human cortex. Nature Communications, 11(1):1--14, 2020. [WWW]


  15. Micha Heilbron and Florent Meyniel. Confidence resets reveal hierarchical adaptive learning in humans. PLoS computational biology, 15(4):e1006972, 2019.


  16. Caroline Le Ster, Antonio Moreno, Franck Mauconduit, Vincent Gras, Ruediger Stirnberg, Benedikt A Poser, Alexandre Vignaud, Evelyn Eger, Stanislas Dehaene, Florent Meyniel, and others. Comparison of SMS-EPI and 3D-EPI at 7T in an fMRI localizer study with matched spatiotemporal resolution and homogenized excitation profiles. Plos one, 14(11):e0225286, 2019. [WWW]


  17. Maxime Maheu, Stanislas Dehaene, and Florent Meyniel. Brain signatures of a multiscale process of sequence learning in humans. Elife, 8:e41541, 2019. [PDF]


  18. Dror Dotan, Florent Meyniel, and Stanislas Dehaene. On-line confidence monitoring during decision making. Cognition, 171:112-21, 2018. [PDF]


  19. Germain Lefebvre, Mael Lebreton, Florent Meyniel, Sacha Bourgeois-Gironde, and Stefano Palminteri. Behavioral and neural characterization of optimistic reinforcement learning. Nature Human Behavior, 1:0067, 2017. [WWW] [PDF]


  20. F. Meyniel and Stanislas Dehaene. Brain networks for confidence weighting and hierarchical inference during probabilistic learning. PNAS, 2017. [WWW] [PDF]


  21. Pablo Tano, Florent Meyniel, Mariano Sigman, and Alejo Salles. Variability in prior expectations explains biases in confidence reports. bioRxiv, pp 127399, 2017.


  22. F. Meyniel, Guy M Goodwin, JF William Deakin, Corinna Klingeand Christine MacFadyen, Holly Milligan, Emma Mullings, Mathias Pessiglione, and Raphaël Gaillard. A specific role for serotonin in overcoming effort cost. eLife, November 2016. [WWW]


  23. F. Meyniel, M. Maheu, and S. Dehaene. Human inferences about sequences: A minimal transition probability model. bioRxiv, 2016.


  24. F. Meyniel, M. Maheu, and Dehaene S. Human inferences about sequences: A minimal transition probability model. PLoS Computational Biology, 12:e1005260, 2016. [WWW] [PDF]


  25. Stanislas Dehaene, Florent Meyniel, Catherine Wacongne, Liping Wang, and Christophe Pallier. The Neural Representation of Sequences: From Transition Probabilities to Algebraic Patterns and Linguistic Trees.. Neuron, 88(1):2--19, October 2015. [WWW] [PDF] [Abstract]


  26. Florent Meyniel, Daniel Schlunegger, and Stanislas Dehaene. The Sense of Confidence during Probabilistic Learning: A Normative Account.. PLoS Comput Biol, 11(6):e1004305, June 2015. [WWW] [PDF] [Abstract]


  27. Florent Meyniel, Mariano Sigman, and Zachary F. Mainen. Confidence as Bayesian Probability: From Neural Origins to Behavior.. Neuron, 88(1):78--92, October 2015. [WWW] [PDF] [Abstract]


  28. Imen El Karoui, Jean-Remi King, Jacobo Sitt, Florent Meyniel, Simon Van Gaal, Dominique Hasboun, Claude Adam, Vincent Navarro, Michel Baulac, Stanislas Dehaene, Laurent Cohen, and Lionel Naccache. Event-Related Potential, Time-frequency, and Functional Connectivity Facets of Local and Global Auditory Novelty Processing: An Intracranial Study in Humans. Cereb Cortex, June 2014. [WWW] [PDF] [Abstract]


Miscellaneous
  1. Micha Heilbron and Florent Meyniel. Subjective confidence reveals the hierarchical nature of learning under uncertainty. , 2018.



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Last modified: Sat Dec 28 12:20:13 2024
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