title: Information processing using a single dynamical node as complex system.
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.
authors.affiliation: Applied Physics Research Group (APHY), Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussel, Belgium.
authors.forename: L
authors.initials: L
authors.lastname: Appeltant
authors.forename: M C
authors.initials: MC
authors.lastname: Soriano
authors.forename: G
authors.initials: G
authors.lastname: Van der Sande
authors.forename: J
authors.initials: J
authors.lastname: Danckaert
authors.forename: S
authors.initials: S
authors.lastname: Massar
authors.forename: J
authors.initials: J
authors.lastname: Dambre
authors.forename: B
authors.initials: B
authors.lastname: Schrauwen
authors.forename: C R
authors.initials: CR
authors.lastname: Mirasso
authors.forename: I
authors.initials: I
authors.lastname: Fischer