Probabilities and Optimal Inference to Understand the Brain

›9:00 (2h15)

Session 3: Decision Making beyond Classical Reinforcement Learning
Paul Apicella

› Salle Henri Gastaut

›9:00 (45min)

Adaptive coding in the dopaminergic system in health and disease
Kelly Diederen (King's College London)

›9:45 (45min)

Learning the payoffs and costs of actions
Rafal Bogacz (University of Oxford)

›10:30 (45min)

Brain circuits of urgent decisions for action
David Thura (University of Montreal)

›11:15 (30min)

Pause café et Posters

›11:45 (1h)

Short presentations by young researchers

› Salle Henri Gastaut

›11:45 (20min)

Characterizing the inter-individual differences in children with cochlear implants: an evaluation of their predictive timing abilities
Jacques Pesnot (Aix-Marseille Université)

›12:05 (20min)

What’s the hazard rate?
Adrian E. Radillo (University of Houston)

›12:25 (20min)

Fractionating reaction times to probe the validity of the Drift Diffusion Model parameters
Gabriel Weindel (Aix-Marseille Université)

›12:45 (1h30)

Déjeuner & Posters

›14:10 (2h20)

Session 4: Context–Dependent Motor Behavior
Frederic Danion

› Salle Henri Gastaut

›14:15 (45min)

Pathology as maladaptive optimality: A computational dissection of decision and action in OCD and Parkinson’s disease
Lionel Rigoux (Max Planck Institute)

›15:00 (45min)

Rapid delay compensation and state estimation following disturbances to the limb
Frédéric Crevecoeur (Université Catholique de Louvain)

›15:45 (45min)

Decomposing the motor system
Opher Donchin (Ben-Gurion University of the Negev)