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Photonic information processing beyond Turing: An optoelectronic implementation of Reservoir Computing

Abstract: Many information processing challenges are difficult to solve with traditional Turing or von Neumann approaches. Implementing unconventional computational methods is therefore essential and optics provides promising opportunities. Here we experimentally demonstrate optical information processing using a nonlinear optoelectronic oscillator subject to delayed feedback. We implement a neuro-inspired concept, called Reservoir Computing, proven to possess universal computational capabilities. We particularly exploit the transient response of a complex dynamical system to an input data stream. We employ spoken digit recognition and time series prediction tasks as benchmarks, achieving competitive processing figures of merit.

 Autoría: Larger L., Soriano M.C., Brunner D., Appeltant L., Gutierrez J.M., Pesquera L., Mirasso C.R., Fischer I.,

 Fuente: Optics Express, Vol. 20, Issue 3, pp. 3241-3249 (2012)

 Año de publicación: 2012

 Nº de páginas: 9

 Tipo de publicación: Artículo de Revista

 DOI: 10.1364/OE.20.003241

 ISSN: 1094-4087

 Proyecto español: TEC2009-14101 (DeCoDicA)

 Proyecto europeo: info:eu-repo/grantAgreement/EC/FP7/240763/EU/Towards a PHOtonic liquid state machine based on delay-CoUpled Systems/PHOCUS/

 Url de la publicación: http://doi.org/10.1364/OE.20.003241

Autoría

LARGER, L.

SORIANO, M. C.

BRUNNER, D.

APPELTANT, L.

LUIS PESQUERA GONZALEZ

MIRASSO, C.R.

FISCHER, I