Connectionists: BAYESIAN COGNITION Workshop, Paris, January 16 - 18, 2006

[Pierre Bessière]

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BAYESIAN COGNITION
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International workshop on probabilistic models of perception,  
inference, reasoning, decision action, learning and neural processing

Paris, France, January 16 - 18, 2006

http://www.bayesian-cognition.org/

Scope and goal:
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Animals and artificial systems alike are faced with the problem of  
making inferences about their environments and choosing appropriate  
responses based on incomplete, uncertain and noisy data.
Probabilistic models and algorithms are flourishing in both life  
sciences an information sciences as ways of understanding the  
behavior of subjects and the neural processing underlying this  
behavior, and building robots and artificial agents that can function  
effectively in such circumstances.
This workshop will gather life and information scientists to discuss  
the latest advances in this subject, specifically addressing the  
following topics:
- Probability theory as an alternative to logic
- Probabilistic models of neurons and assembly of neurons
- Probabilistic models of CNS functionality
- Stochastic synchronisation of neuronal assemblies
- Probabilistic interpretation of psychological and psychophysical data
- Probabilistic inference and learning algorithms
- Probabilistic robotics

Lecturers (confirmed list):
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- Alain Berthoz, Collège de France
- Pierre Bessière, CNRS Grenoble University
- Heinrich Bülthoff, Max Planck Institute
- Peter Dayan, UCL
- Sophie Deneve, ISC
- Jacques Droulez, Collège de France
- Ian Hacking, Collège de France
- Ben Kuipers, University of Texas
- David MacKay, Cambridge University
- Pascal Mamassian, Paris V University
- Jose del R. Millan, IDIAP Research Institute
- Kevin Murphy, University of British Columbia
- Alexandre Pouget, University of Rochester
- Rajesh Rao, University of Washington
- Michael Shadlen, University of Washington
- Roland Siegwart, EPFL
- Eero Simoncelli, New York University
- Jean-Jacques Slotine, MIT
- Josh Tenenbaum, MIT
- Sebastian Thrun, Stanford University
- Daniel Wolpert, Cambridge University

Registration and complementary information:
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http://www.bayesian-cognition.org/

- Talks + coffee breaks and welcome cocktail on January 16th : 90 euros
- Talks + coffee breaks, welcome cocktail on January 16th and  
lunches : 140 euros

Number of participant is limited, registration are accepted in their  
order of arrival.

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Dr Pierre Bessière - CNRS
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GRAVIR Lab
INRIA
655 avenue de l'Europe
38334 Montbonnot
FRANCE

Mail: Pierre.Bessiere at imag.fr
Http: www-laplace.imag.fr
Tel:   +33 4 76 61 55 09
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