Probabilities and Optimal Inference to Understand the Brain

›9:00 (30min)

Registration & Welcome Address
All Organizers

›9:30 (1h45)

Session 1: Introduction - principles of Bayesian inference
Nicole Malfait

› Salle Henri Gastaut

›9:30 (1h)

Modelling Bayesian inference by cortical circuits in the predictive coding framework
Rafal Bogacz (University of Oxford)

›10:30 (45min)

Principles and psychophysics of Active Inference in anticipating a dynamic probabilistic bias
Laurent Perrinet (Institut de Neurosciences de la Timone)

›11:15 (15min)

Pause café & Posters

›11:45 (45min)

The role of the Basal Ganglia and Superior Colliculus in Decision Making
Michele Basso

›12:30 (1h30)

Déjeuner

›14:00 (3h15)

Session 2: Perception in the Face of Uncertainty
Anna Montagnini

› Salle Henri Gastaut

›14:00 (45min)

Measuring the sensitivity of visual confidence
Pascal Mamassian (ENS-Paris & CNRS)

›14:45 (45min)

Using Bayesian models to investigate attentional mechanisms in the human brain
Simone Vossel (Forschungszentrum Jülich & University of Cologne)

›15:30 (30min)

Pause café & Posters

›16:00 (45min)

Optimizing scene decoding with "three-party" generative models
Emmanuel Daucé (Institut de Neurosciences des Systèmes)

›16:45 (45min)

Brain dynamics in a firefly catching task
Dora Angelaki (Baylor College of Medicine)