• Media type: E-Article
  • Title: Consistency in echo-state networks
  • Contributor: Lymburn, Thomas; Khor, Alexander; Stemler, Thomas; Corrêa, Débora C.; Small, Michael; Jüngling, Thomas
  • imprint: AIP Publishing, 2019
  • Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science
  • Language: English
  • DOI: 10.1063/1.5079686
  • ISSN: 1054-1500; 1089-7682
  • Origination:
  • Footnote:
  • Description: <jats:p>Consistency is an extension to generalized synchronization which quantifies the degree of functional dependency of a driven nonlinear system to its input. We apply this concept to echo-state networks, which are an artificial-neural network version of reservoir computing. Through a replica test, we measure the consistency levels of the high-dimensional response, yielding a comprehensive portrait of the echo-state property.</jats:p>