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