Information processing using a single dynamical node as complex system

Lennert Appeltant, M.c. Soriano, Guy Van Der Sande, Jan Danckaert, S. Massar, Joni Dambre, Ben Schrauwen, Claudio R. Mirasso, I. Fischer

Research output: Contribution to journalArticle

713 Citations (Scopus)

Abstract

Novel methods for information processing are highly desired in our information-driven society. Inspired by the brain's ability to process information, the recently introduced paradigm known as 'reservoir computing' shows that complex networks can efficiently perform computation. Here we introduce a novel architecture that reduces the usually required large number of elements to a single nonlinear node with delayed feedback. Through an electronic implementation, we experimentally and numerically demonstrate excellent performance in a speech recognition benchmark. Complementary numerical studies also show excellent performance for a time series prediction benchmark. These results prove that delay-dynamical systems, even in their simplest manifestation, can perform efficient information processing. This finding paves the way to feasible and resource-efficient technological implementations of reservoir computing.
Original languageEnglish
Pages (from-to)1-6
Number of pages6
JournalNature Communications
Volume2
Publication statusPublished - 13 Sep 2011

Keywords

  • Physics
  • Applied Physics
  • Neuroscience
  • Delay
  • nonlinear dynamics

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