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  Multisensory Learning: Recalibration makes "Sense"

Ernst, M. (2010). Multisensory Learning: Recalibration makes "Sense". Talk presented at Istituto Italiano di Tecnologia: Doctoral School on Robotics, Neuroscience and Nanotechnologies. Genova, Italy. 2010-06-07.

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 Creators:
Ernst, MO1, 2, Author              
Affiliations:
1Research Group Multisensory Perception and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497806              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Many recent studies have shown that human multisensory perception and action is using the available sensory information in a close to optimal way. However, the environment we live in is constantly changing so that in order to behave optimal, humans have to adapt to these changes. In my talk I will review some of our recent studies on sensorimotor learning and will show how humans adapt to changes in the statistical regularities of the environment. The goal is to develop a model for sensorimotor learning which is based on Bayesian Decision Theory that can capture human adaptation behaviour from first principles.

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 Dates: 2010-06-07
 Publication Status: Published online
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Title: Istituto Italiano di Tecnologia: Doctoral School on Robotics, Neuroscience and Nanotechnologies
Place of Event: Genova, Italy
Start-/End Date: 2010-06-07
Invited: Yes

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