Vector field approximation: A computational paradigm for motor control and learning

DOI10.1007/BF00198756zbMath0758.92005WikidataQ48580265 ScholiaQ48580265MaRDI QIDQ1202328

Simon F. Giszter, Ferdinando A. Mussa-Ivaldi

Publication date: 23 February 1993

Published in: Biological Cybernetics (Search for Journal in Brave)

zbMATH Keywords

coordinate transformationscentral nervous systemneural circuitsspinal cordcontrol modulesbasis fieldvector-field approximation

Mathematics Subject Classification ID

Neural biology (92C20) Computational methods for problems pertaining to biology (92-08)

Related Items (4)

A control theory approach to the analysis and synthesis of the experimentally observed motion primitives ⋮ Spatial symmetries in vestibular projections to the uvula-nodulus ⋮ Neural computations underlying the exertion of force: A model ⋮ From basis functions to basis fields: Vector field approximation from sparse data

Cites Work

• Unnamed Item
• From basis functions to basis fields: Vector field approximation from sparse data
• Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
• Robust control of dynamically interacting systems

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