Marie Devaine (PhD)
Mail: marie[dot]devaine[at]gmail[dot]com
Current work
I did my PhD under the supervision of Jean Daunizeau.
I try to better understand how we attribute beliefs and preferences to other people. This ability, known as Theory of Mind (ToM), is critical for social cognition and gives rise to complex processes such as recursion in belief attribution in a social interaction (“I think that you think that I think...”) or preference learning alignment (I am biased by my preference when trying to infer your preference, but I am influenced back by your preference once I have learned it).
To study these complex processes I use a Bayesian computational modeling approach and apply it to behavioral experiments. On top of classical behavioral studies in the lab with healthy participants, I contributed to the brain’us project: we collaborated with a start-up to launch an app to perform experiments on line (you can play here!).
On the evolutionary side of my project, I started collaborating with Aurore San-Galli, Sebastien Bouret and Shelly Masi to study ToM complexity in other species (especially in apes).
On the clinical side, I started collaborating with Baudouin Forgeot D’Arc to study attribution of belief and preferences in patients from the autistic spectrum.
To study these complex processes I use a Bayesian computational modeling approach and apply it to behavioral experiments. I started collaborating with Aurore San-Galli, Sebastien Bouret and Shelly Masi to study ToM complexity in other species (especially in apes). I am also interested in studying attribution of belief and preferences in patient from the autistic spectrum.
Previous research experience
I initiated my PhD project during my second year master internship under the joint supervision of Jean Daunizeau and Guillaume Hollard (2011-2012).
During the first year of the Cogmaster (in 2010-2011) I worked with Pascal Mamassian and Florian Waszak on perceptual decision making at the LPP.
For my first master degree (in probability and statistics), I did a research internship at EDF R&D under the joint supervision of Gilles Stoltz and Yannig Goude about the aggregation of specialized predictors applied to electrical consumption.
Publications
Devaine M., ..., Daunizeau J. (2017), A computational assay of Theory of Mind in (seven) non-human primate species. PLoS Comp. Biol., in revision.
Devaine M., Daunizeau J. (2017), Learning about and from others' prudence, impatience or laziness: the computational bases of attitude alignment. PLoS Comp. Biol. (2017), 13(3): e1005422. [link]
Klindt D., Devaine M., Daunizeau J. (2016), 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 (2016), 86: 205-215. [link]
Devaine M, Hollard G., Daunizeau J., (2014) The social Bayesian brain: does mentalizing make a difference when we learn?.Plos Comp Biol [link] [data]
Devaine M, Hollard G, Daunizeau J (2014) Theory of Mind: did evolution fool us? PLoS ONE [link]
Devaine M, Waszak F, Mamassian P (2013) Dual Process for Intentional and Reactive Decisions. PLoS Comput Biol 9(4). [link]
Devaine, M., Gaillard, P., Goude, Y., Stoltz, G. (2013) Forecasting electricity consumption by aggregating specialized experts. Machine Learning, 90(2): 231-260.