Principal Investigator (tenured) at the Laboratoire de Neurosciences Cognitives of the Ecole Normale Supérieure in Paris, France

My research focuses on the neurobiological basis of human decision-making, and relies on a synergistic cross-talk between computational modeling, cognitive psychology and neuroscience to understand how we make decisions (and especially why we make errors) in the face of uncertainty. My research typically combines computational modeling of human choice behavior with multimodal functional neuroimaging. My research is currently supported by the Institut National de la Santé et de la Recherche Médicale and the Agence Nationale de la Recherche.

Where to find me (but call first)

Laboratoire de Neurosciences Cognitives
Département d’Etudes Cognitives, Ecole Normale Supérieure
Address: 29 rue d'Ulm, 1er étage droite, 75005 Paris, France
Access: Luxembourg (RER line B), Place Monge (metro line 7)

How to contact me (e-mail preferred)

E-mail: valentin [dot] wyart [at] ens [dot] fr
Skype: valentinwyart, Twitter: @valentinwyart
Phone: +33 (0)1 44 32 29 54, Fax: +33 (0)1 44 32 26 42

Who I work with (in my research group)

Vasilisa Skvortsova, post-doctoral research fellow
Vasilisa works on the strategic adaptation of reward-guided learning to the correlation structure of choice alternatives, using a combination of computational modeling, pupillometry and functional magnetic resonance imaging in healthy participants.
> Joint supervision with Stefano Palminteri

Aurélien Weiss, graduate student (Frontières du Vivant doctoral program, Université Paris Diderot)
Aurélien works on the degree of computational and neural overlap between observational (cue-based) and instrumental (outcome-based) decision-making, using electromagnetic recordings of human brain activity in healthy participants and psychiatric populations.
> Joint supervision with Karim Jerbi (Université de Montréal, Canada)
> Collaboration with Valérian Chambon

Rémi Dromnelle, Master student (Master in cognitives sciences, Ecole Normale Supérieure)
Rémi works on characterizing the origin and structure of human choice variability in reward-guided learning, using a combination of computational modeling and functional magnetic resonance imaging in healthy participants.

Hugo Trad, Master student (Master in cognitives sciences, Ecole Normale Supérieure)
Hugo works on the neural computations underlying human probabilistic inference based on single vs. multiple sensory features, decoded from electromagnetic recordings of human brain activity in healthy participants.

What I did earlier (among other things)

I was originally trained in mathematics and signal processing at Télécom ParisTech. During my undergraduate studies, I worked as a research intern in humanoid robotics at the Advanced Telecommunications Research Institute in Kyoto, Japan. After obtaining the Master in cognitive sciences of the Ecole Normale Supérieure, I completed my PhD at the Université Pierre et Marie Curie in 2009, supervised by Catherine Tallon-Baudry and Stanislas Dehaene. My thesis examined the relationship between the neural signatures of visual consciousness and attention. I then worked as a post-doctoral research fellow with Christopher Summerfield and Kia Nobre at the University of Oxford, funded by a two-year fellowship from the Fondation Fyssen. There I studied how expectation and attention shape perceptual decision-making, and how slow brain oscillations constrain evidence accumulation during decision-making. Before getting tenured at the Ecole Normale Supérieure in 2013, I worked with Etienne Koechlin on the origin and structure of human choice suboptimality under uncertainty.