10-11 Sep 2015 Paris (France)

Planning

Thursday, September 10, 2015

Time Event (+)
09:30 - 10:00 Welcome around a coffee  
10:00 - 10:10 Introduction - Stanislas Dehaene  
10:10 - 12:50 Models of probabilistic inference - Chair: Wolfgang Maass  
10:10 - 10:50 On the adaptive fitness of the bayesian brain - Jean Daunizeau (ICM, Paris, France)  
10:50 - 11:30 Circular inference in Schizophrenia - Sophie Denève (ENS, Paris, France)  
11:30 - 12:10 Learning-based cross-modal suppression of ongoing activity in primary cortical areas and the descriptive power of sampling based models - Jozsef Fiser (CEU, Budapest, Hungary)  
12:10 - 12:50 Sampling-based probabilistic inference through neural and synaptic dynamics - Robert Legenstein (Graz University, Austria)  
12:50 - 14:30 Lunch  
14:30 - 18:00 Experimental data on probabilistic inference - Chair: Alain Destexhe  
14:30 - 15:10 Brainstem modulation of cortical inference processes - Tobias Donner (Univ. Medical Center Hamburg, Germany)  
15:10 - 15:50 A computational analysis of the Bayesian brain - Antonio Kolossa (Univ. Braunschweig, Germany)  
15:50 - 16:15 Teasers - Posters  
16:15 - 16:40 Coffee break  
16:40 - 17:20 Interplay of synaptic plasticity and probabilistic theories - Wulfram Gerstner (EPFL, Switzerland)  
17:20 - 18:00 A rational sense of confidence during probabilistic inference in the human brain - Florent Meyniel (CEA, Saclay, France)  
18:00 - 19:00 Posters  
20:00 - 22:00 Speakers' Dinner  

Friday, September 11, 2015

Time Event (+)
09:00 - 09:30 Welcome around a coffee  
09:30 - 12:10 Critical data to arbitrate between models - Chair: Florent Meyniel  
09:30 - 10:10 Empirical support for predictive coding in sensory circuits? - Floris de Lange (Donders Institute, the Netherlands)  
10:10 - 10:50 Probabilistic inference and human executive control - Etienne Koechlin (ENS, Paris, France)  
10:50 - 11:30 Bayesian accounts of the central tendency of judgment - Pascal Mamassian (CNRS, ENS, France)  
11:30 - 12:10 Hierarchical predictive coding and adaptive gain control - Christopher Summerfield (Univ. Oxford, UK)  
12:10 - 13:30 Lunch  
13:30 - 15:30 Critical gaps in the models - Chair: Stanislas Dehaene  
13:30 - 14:10 Sampling-based representation of uncertainty: time is of essence - Mate Lengyel (Univ. Cambridge, UK)  
14:10 - 14:50 Gaps between the observed stochasticity of neural systems and probabilistic inference models - Wolfgang Maass (Graz University, Austria)  
14:50 - 15:30 Joining the dots in theoretical neurobiology - Karl Friston (UCL, UK)  
  
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