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  Structural learning

Braun, D. (2013). Structural learning. Scholarpedia, 8(10), 12312. doi:10.4249/scholarpedia.12312.

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Braun, D1, 2, Author           
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1Research Group Sensorimotor Learning and Decision-Making, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497809              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Structural learning in motor control refers to a metalearning process whereby an agent extracts (abstract) invariants from its sensorimotor stream when experiencing a range of environments that share similar structure. Such invariants can then be exploited for faster generalization and learning-to-learn when experiencing novel, but related task environments.

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 Dates: 2013-10
 Publication Status: Issued
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 Identifiers: DOI: 10.4249/scholarpedia.12312
BibTex Citekey: Braun2013
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Title: Scholarpedia
Source Genre: Journal
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Pages: - Volume / Issue: 8 (10) Sequence Number: - Start / End Page: 12312 Identifier: -