State prediction: a constructive method to program recurrent neural networks

  • Authors:
  • René Felix Reinhart;Jochen Jakob Steil

  • Affiliations:
  • Research Institute for Cognition and Robotics Lab. & Faculty of Technology, Bielefeld University, Bielefeld, Germany;Research Institute for Cognition and Robotics Lab. & Faculty of Technology, Bielefeld University, Bielefeld, Germany

  • Venue:
  • ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
  • Year:
  • 2011

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Abstract

We introduce a novel technique to program desired state sequences into recurrent neural networks in one shot. The basic methodology and its scalability to large and input-driven networks is demonstrated by shaping attractor landscapes, transient dynamics and programming limit cycles. The approach unifies programming of transient and attractor dynamics in a generic framework.