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  A sensorimotor paradigm for Bayesian model selection

Genewein, T., & Braun, D. (2012). A sensorimotor paradigm for Bayesian model selection. Frontiers in Human Neuroscience, 6: 291, pp. 1-16. doi:10.3389/fnhum.2012.00291.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-B5A0-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-8CCD-B
Genre: Journal Article

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Genewein, T1, 2, Author              
Braun, DA1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Research Group Sensorimotor Learning and Decision-Making, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497809              

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 Abstract: Sensorimotor control is thought to rely on predictive internal models in order to cope efficiently with uncertain environments. Recently, it has been shown that humans not only learn different internal models for different tasks, but that they also extract common structure between tasks. This raises the question of how the motor system selects between different structures or models, when each model can be associated with a range of different task-specific parameters. Here we design a sensorimotor task that requires subjects to compensate visuomotor shifts in a three-dimensional virtual reality setup, where one of the dimensions can be mapped to a model variable and the other dimension to the parameter variable. By introducing probe trials that are neutral in the parameter dimension, we can directly test for model selection. We found that model selection procedures based on Bayesian statistics provided a better explanation for subjects’ choice behavior than simple non-probabilistic heuristics. Our experimental design lends itself to the general study of model selection in a sensorimotor context as it allows to separately query model and parameter variables from subjects.

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 Dates: 2012-10
 Publication Status: Published online
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 Identifiers: DOI: 10.3389/fnhum.2012.00291
BibTex Citekey: GeneweinB2012
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Title: Frontiers in Human Neuroscience
Source Genre: Journal
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Pages: - Volume / Issue: 6 Sequence Number: 291 Start / End Page: 1 - 16 Identifier: -