Structured reservoir computing with spatiotemporal chaotic attractors

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Structured reservoir computing with spatiotemporal chaotic attractors
Abstract. We approach the themes “computing with chaos” and “reservoir computing” in a unified setting. Different neural architectures are mentioned which display chaotic as well as reservoir properties. The architectures share a common topology of close-neighbor connections which supports different types of spatiotemporal dynamics in continuous time. We bring up the role of spatiotemporal structure and associated symmetries in reservoir-mediated pattern processing. Such type of computing is somewhat different from most other examples of reservoir computing. 1 Spatiotemporal chaotic reservoirs Previously we have described the reservoir property in the context of chaotic dynamical systems and pointed out that it is a useful manifestation of chaos’ flexibility in view of computation [1, 2, 3, 4]. The recent developments in reservoir computing research [5, 6, 7] prompted us to recall some of the previous ideas concerning computing with dynamical networks, as well as to prov...
Carlos Lourenço
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Authors Carlos Lourenço
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