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Selected publications of Marie Amalric
Thesis
  1. M. Amalric. Study of the brain mechanisms involved in the learning and processing of high-level mathematical concepts Etude par imagerie cérébrale des mécanismes d'apprentissage de structures abstraites: Mise à l'épreuve expérimentale de l'hypothèse du cerveau Bayésien. PhD thesis, UPMC, 2017.


Articles in journals
  1. Marie Amalric, Pauline Roveyaz, and Stanislas Dehaene. Evaluating the impact of short educational videos on the cortical networks for mathematics. Proceedings of the National Academy of Sciences, 120(6):e2213430120, 2023. [WWW]


  2. Fosca Al Roumi, Sébastien Marti, Liping Wang, Marie Amalric, and Stanislas Dehaene. Mental compression of spatial sequences in human working memory using numerical and geometrical primitives. Neuron, 109(16):2627--2639, 2021. [PDF]


  3. Mathias Sablé-Meyer, Joël Fagot, Serge Caparos, Timo van Kerkoerle, Marie Amalric, and Stanislas Dehaene. Sensitivity to geometric shape regularity in humans and baboons: A putative signature of human singularity. Proceedings of the National Academy of Sciences, 118(16), 2021. [WWW]


  4. Fosca Al Roumi, Sébastien Marti, Liping Wang, Marie Amalric, and Stanislas Dehaene. Mental compression of spatial sequences in human working memory using numerical and geometrical primitives. bioRxiv, 2020. [WWW]


  5. Mathias Sablé-Meyer, Serge Caparos, Timo van Kerkoerle, Marie Amalric, Stanislas Dehaene, and others. A signature of human uniqueness in the perception of geometric shapes. 2020. [WWW]


  6. Marie Amalric and Stanislas Dehaene. A distinct cortical network for mathematical knowledge in the human brain. NeuroImage, 189:19--31, 2019. [WWW] [PDF]


  7. Moira R. Dillon, Marianne Duyck, Stanislas Dehaene, Marie Amalric, and Véronique Izard. Geometric categories in cognition.. Journal of Experimental Psychology: Human Perception and Performance, 45(9):1236-1247, 2019. [PDF]


  8. Liping Wang, Marie Amalric, Wen Fang, Xinjian Jiang, Christophe Pallier, Santiago Figueira, Mariano Sigman, and Stanislas Dehaene. Representation of spatial sequences using nested rules in human prefrontal cortex. NeuroImage, 186:245--255, 2019. [PDF]


  9. Marie Amalric and Stanislas Dehaene. Cortical circuits for mathematical knowledge: evidence for a major subdivision within the brain's semantic networks. Phil. Trans. R. Soc. B, 373(1740):20160515, 2018.


  10. Marie Amalric, Isabelle Denghien, and Stanislas Dehaene. On the role of visual experience in mathematical development: Evidence from blind mathematicians. Dev Cogn Neurosci, 30:314-323, 2018. [WWW]


  11. Stanislas Dehaene, Marie Amalric, and Sébastien Bohler. Chacun peut entraîner ses neurones des maths. Cerveau Psycho, 100(6):68--70, 2018.


  12. Sergio Romano, Alejo Salles, Marie Amalric, Stanislas Dehaene, Mariano Sigman, and Santiago Figueira. Bayesian validation of grammar productions for the language of thought. PloS one, 13(7):e0200420, 2018. [WWW]


  13. Marie Amalric, Liping Wang, Pierre Pica, Santiago Figueira, Mariano Sigman, and Stanislas Dehaene. The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers. PLoS Comput Biol., Jan; 13(1): e1005273, 2017. [WWW] [PDF]


  14. S. Amalric, M.and Dehaene. Cortical circuits for mathematical knowledge: evidence for a major subdivision within the brain's semantic networks.. Philos Trans R Soc Lond B Biol Sci., Feb 19;373(1740):pii: 20160515., 2017.


  15. Marie Amalric and Stanislas Dehaene. Origins of the brain networks for advanced mathematics in expert mathematicians.. Proc Natl Acad Sci U S A, April 2016. [WWW] [PDF] [Abstract]


Conference proceedings
  1. Marie Amalric, Manuela Piazza, Alexis Amadon, Bertrand Thirion, and Stanislas Dehaene. High-level expertise for mathematical concepts recycles lateral occipito-temporal and parietal regions for number processing. In Conference: Society for Neuroscience, 2014.


Miscellaneous
  1. Laetitia Grabot and Marie Amalric. Bloqués... à NeuroSpin, 2017.
    Note: Short-movie competition, Les Chercheurs Font Leur Cinéma, Doc'Up. [WWW]



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