This workshop gathers researchers from the theoretical and experimental fields working on the underpinning of probabilistic inference in the brain, in order to make the link between both perspectives. Results from the theory will be reviewed to present state-of-the-art models of probabilistic inference at the neuronal level. Key experimental data characterizing the inferential capabilities of the brain will also be presented. Both perspectives will be confronted in order to identify existing and missing data that could refute particular models.
Stanislas Dehaene (CEA, Inserm, Collège de France - France) Alain Destexhe (EITN CNRS-UNIC - France) Wolfgang Maass (Graz University - Austria) Florent Meyniel (CEA - France) – local contact
Jean Daunizeau (ICM, Paris, France) Sophie Denève (ENS, Paris, France) Tobias Donner (Univ. Medical Center Hamburg, Germany) Jozsef Fiser (CEU, Budapest, Hungary) Karl Friston (UCL, UK) Wulfram Gerstner (EPFL, Switzerland) Robert Legenstein (Graz University, Austria) Etienne Koechlin (ENS, Paris, France) Antonio Kolossa (Univ. Braunschweig, Germany) Floris de Lange (Donders Institute, the Netherlands) Mate Lengyel (Univ. Cambridge, UK) Wolfgang Maass (Graz University, Austria) Pascal Mamassian (CNRS, ENS, Paris, France) Florent Meyniel (CEA, Saclay, France) Christopher Summerfield (Univ. Oxford, UK)
The workshop is hosted by Collège de France, 11 Place Marcelin Berthelot, 75005 Paris (amphitheater Guillaume Budé).