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Sophie Bavard

LNC2

Doctorant

29 rue d'Ulm
75005 Paris France

Laboratoire
LNC2
Equipe
Human reinforcement learning
Publications sélectionnées
Article dans une revue internationale  

Lebreton, M., Bavard, S., Daunizeau, J. & Palminteri, S. (2019). Assessing inter-individual differences with task-related functional neuroimaging. Nature Human Behaviour. doi:10.1038/s41562-019-0681-8

Article dans une revue internationale  

Bavard, S., Lebreton, M., Khamassi, M., Coricelli, G. & Palminteri, S. (2018). Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences. Nature Communications, 9(4503)

Biographie

Born in Lyon and raised in Bordeaux (France), Sophie is a second-year PhD student at the LNC² in the Human Reinforcement Learning team. She received a bachelor’s degree in fundamental mathematics and a master’s degree in cellular neuroscience from the Université Pierre et Marie Curie (Paris 6). Her current work in cognitive neuroscience involves computational applications in value-based decision-making. She is interested in the different strategies we use to make decisions, their inter-individual variability, and the neuropathologies emerging from their dysfunction.