Marie Devaine - Publications
Affiliations: | 2011-2014 | ICM (Brain and Spine Institute) |
Year | Citation | Score | |||
---|---|---|---|---|---|
2020 | Forgeot d'Arc B, Devaine M, Daunizeau J. Social behavioural adaptation in Autism. Plos Computational Biology. 16: e1007700. PMID 32176684 DOI: 10.1371/Journal.Pcbi.1007700 | 0.635 | |||
2017 | Devaine M, San-Galli A, Trapanese C, Bardino G, Hano C, Saint Jalme M, Bouret S, Masi S, Daunizeau J. Reading wild minds: A computational assay of Theory of Mind sophistication across seven primate species. Plos Computational Biology. 13: e1005833. PMID 29112973 DOI: 10.1371/Journal.Pcbi.1005833 | 0.663 | |||
2017 | Devaine M, Daunizeau J. Learning about and from others' prudence, impatience or laziness: The computational bases of attitude alignment. Plos Computational Biology. 13: e1005422. PMID 28358869 DOI: 10.1371/journal.pcbi.1005422 | 0.618 | |||
2016 | Klindt D, Devaine M, Daunizeau J. Does the way we read others' mind change over the lifespan? Insights from a massive web poll of cognitive skills from childhood to late adulthood. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. PMID 27726852 DOI: 10.1016/j.cortex.2016.09.009 | 0.597 | |||
2015 | San‑Galli A, Devaine M, Trapanese C, Masi S, Bouret S, Daunizeau J. Playing hide and seek with primates: A comparative study of Theory of Mind Revue De Primatologie. DOI: 10.4000/Primatologie.2182 | 0.619 | |||
2014 | Devaine M, Hollard G, Daunizeau J. The social Bayesian brain: does mentalizing make a difference when we learn? Plos Computational Biology. 10: e1003992. PMID 25474637 DOI: 10.1371/Journal.Pcbi.1003992 | 0.651 | |||
2014 | Devaine M, Hollard G, Daunizeau J. Theory of mind: did evolution fool us? Plos One. 9: e87619. PMID 24505296 DOI: 10.1371/Journal.Pone.0087619 | 0.659 | |||
2013 | Devaine M, Gaillard P, Goude Y, Stoltz G. Forecasting electricity consumption by aggregating specialized experts: A review of the sequential aggregation of specialized experts, with an application to Slovakian and French country-wide one-day-ahead (half-)hourly predictions Machine Learning. 90: 231-260. DOI: 10.1007/S10994-012-5314-7 | 0.315 | |||
Show low-probability matches. |