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Neural Nets for the Management of Sensory and Motor Trajectories

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Neural and Synergetic Computers

Part of the book series: Springer Series in Synergetics ((SSSYN,volume 42))

Abstract

We are presently witnessing the rapid development of a new interdisciplinary research field: Neural networks for computing alias Neuroinformatics (see, e.g.: ECKMILLER, MALSBURG /1/). The concepts of brain function, cellular automata, artificial intelligence, synergetics, self-organization, spin-glasses, and complex network topology are being merged in order to develop new information processing hardware as well as software. This attempt to transfer concepts of brain function to artificial neural nets for the design of neural computers demands several radical changes in the approach:

  1. a)

    The development of software for serial computers is being replaced by an iterative interaction between neural net topology and learning rules for self-organization; and

  2. b)

    Algorithmic representations of desired functions are gradually being replaced by geometrical representations in neural nets with multi-layered or otherwise highly ordered flexible topologies.

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Author information

Authors and Affiliations

  1. Division of Biocybernetics, University of Düsseldorf, Universitätsstr. 1, D-4000, Düsseldorf 1, Fed. Rep. of Germany

    R. Eckmiller

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  1. R. Eckmiller
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Editors and Affiliations

  1. Institut für Theoretische Physik und Synergetik, Universität Stuttgart, Pfaffenwaldring 57/IV, D-7000, Stuttgart 80, Fed. Rep. of Germany

    Hermann Haken

  2. Center for Complex Systems, Florida Atlantic University, 33431, Boca Raton, FL, USA

    Hermann Haken

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© 1988 Springer-Verlag Berlin Heidelberg

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Eckmiller, R. (1988). Neural Nets for the Management of Sensory and Motor Trajectories. In: Haken, H. (eds) Neural and Synergetic Computers. Springer Series in Synergetics, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74119-7_15

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  • DOI: https://doi.org/10.1007/978-3-642-74119-7_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-74121-0

  • Online ISBN: 978-3-642-74119-7

  • eBook Packages: Springer Book Archive

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