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Restricted Echo State Networks

  • Aaron StockdillEmail author
  • Kourosh Neshatian
Conference paper
  • 2.2k Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9992)

Abstract

Echo state networks are a powerful type of reservoir neural network, but the reservoir is essentially unrestricted in its original formulation. Motivated by limitations in neuromorphic hardware, we remove combinations of the four sources of memory—leaking, loops, cycles, and discrete time—to determine how these influence the suitability of the reservoir. We show that loops and cycles can replicate each other, while discrete time is a necessity. The potential limitation of energy conservation is equivalent to limiting the spectral radius.

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© Springer International Publishing AG 2016

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Authors and Affiliations

  1. 1.Department of Computer Science and Software EngineeringUniversity of CanterburyChristchurchNew Zealand

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