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Nature Research, Nature Communications, 1(2), 2011

DOI: 10.1038/ncomms1476

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Information processing using a single dynamical node as complex system

Journal article published in 2011 by Lennert Appeltant, Miguel Cornelles Soriano, Guy Van der Sande ORCID, Jan Danckaert ORCID, Serge Massar, Joni Dambre, Benjamin Schrauwen, Claudio R. Mirasso ORCID, Ingo Fischer
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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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. ; info:eu-repo/semantics/published