Information processing using a single dynamical node as complex system

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…

• FD
  Fonds De La Recherche Scientifique - FNRS
• FW
  Fonds Wetenschappelijk Onderzoek
• MD
  Ministerio de Ciencia e Innovación

  Award: TEC2009-14101
• VR
  Vlaamse regering