A Developmental Approach Aids Motor Learning

DOI10.1162/089976603322297287zbMath1049.93061OpenAlexW2154472833WikidataQ48205356 ScholiaQ48205356MaRDI QIDQ4816933

Robert A. Jacobs, Volodymyr Ivanchenko

Publication date: 14 September 2004

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976603322297287

zbMATH Keywords

neural networkslearning systemstracking robot systems

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Automated systems (robots, etc.) in control theory (93C85) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Memory and learning in psychology (91E40) Artificial intelligence for robotics (68T40) Language and verbal communities (aspects of mathematics education) (97C50)

Cites Work

• A hierarchical neural-network model for control and learning of voluntary movement
• Levels of sensorimotor representation

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