I am a postdoctoral researcher in the General Psychology Lab at the University of Hamburg (Hamburg, Germany).
I 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), and a PhD in computational neuroscience from the Ecole normale supérieure (PSL University, Paris, France). My current work in cognitive neuroscience involves computational applications in value-based decision-making. I am interested in the different strategies we use to make decisions, their inter-individual variability, and the neuropathologies emerging from their dysfunction.
EADM Summer school on Learning and Decision Making
July 4-8, 2022, Barcelona (ES)
Relative Learning Conference
June 24, 2022, Paris (FR)
2021 Bavard S, Rustichini A, Palminteri S. Two sides of the same coin: beneficial and detrimental consequences of range adaptation in human reinforcement learning. Science Advances, 7, eabe0340
2019 Lebreton M, Bavard S, Daunizeau J, Palminteri S. Assessing inter-individual differences with task-related functional neuroimaging. Nature Human Behaviour, 3(9), 897-905
2018 *Bavard S, *Lebreton M, Khamassi M, Coricelli G, Palminteri S. Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences. Nature Communications, 9(1), 4503