Abstract
Rapid limb movements are known to be initiated by a brief torque pulse at the joints and to proceed freely thereafter (ballistic movements). To initiate such movements with a desired starting velocity u requires knowledge of the relation between torque pulse and desired velocity of the limb. We show for a planar two-link arm model that this relationship can be learnt with the aid of a self-organizing mapping of the type proposed earlier by Kohonen. To this end we extend Kohonen’s algorithm by a suitable learning rule for the individual units and show that this approach results in a significant improvement in the convergency properties of the learning rule used.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Brady M., Hollerbach J.M., Johnson T.L., Lozano-Perez T., Mason M.T. (eds): Robot Motion: Planning and Control, Cambridge Massachusets: MIT-Press 1984
Kohonen T.: Self-organized Formation of Topologically Correct Feature Maps. Biol. Cybern. 43, pp. 59–69 (1982)
Kohonen T.: Analysis of a Simple Self-organizing Process. Biol. Cybern. 44, pp. 135–140 (1982)
Kohonen T.: Self-Organization and Associative Memory, Heidelberg, Springer Series in Information Sciences 8 , 1984
Ritter H., Schulten K.: On the stationary state of Kohonen’s Self-Organizing Sensory Mapping. Biol.Cybern. 54, pp. 99–106 (1986)
Ritter H., Schulten K.: Topology Conserving Mappings for Learning Motor Tasks. In J.S. Denker (Ed.), Neural Networks for Computing, AIP Conf. Proceedings 151, Snowbird/Utah 1986
Rumelhart D.E., McClelland J.L.: Parallel Distributed Processing (Vol.1), Cambridge Massachusets: MIT-Press 1984
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1989 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ritter, H., Schulten, K. (1989). Extending Kohonen’s Self-Organizing Mapping Algorithm to Learn Ballistic Movements. In: Eckmiller, R., v.d. Malsburg, C. (eds) Neural Computers. Springer Study Edition, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83740-1_40
Download citation
DOI: https://doi.org/10.1007/978-3-642-83740-1_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-50892-2
Online ISBN: 978-3-642-83740-1
eBook Packages: Springer Book Archive