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Self-regulating Neurons in the Sensorimotor Loop

  • Frank Pasemann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7902)

Abstract

Synaptic plasticity for recurrent neural networks is derived by introducing neurons as self-regulating units. These neurons have homeostatic properties for certain parameter domains. Depending on its underlying connectivity a neurocontroller endowed with the derived synaptic plasticity rule can generate a variety of different behaviors. The structure of these networks can be developed by evolutionary techniques. For demonstration, examples are given generating a walking behavior for a 3-joint single leg of a walking machine.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Frank Pasemann
    • 1
  1. 1.Institute of Cognitive ScienceUniversity of OsnabrückGermany

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