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Proceedings Paper

Reservoir computing: a photonic neural network for information processing
Author(s): Yvan Paquot; Joni Dambre; Benjamin Schrauwen; Marc Haelterman; Serge Massar
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Paper Abstract

At the boundaries between photonics and dynamic systems theory, we combine recent advances in neural networks with opto-electronic nonlinearities to demonstrate a new way to perform optical information processing. The concept of reservoir computing arose recently as a powerful solution to the issue of training recurrent neural networks. Indeed, it is comparable to, or even outperforms, other state of the art solutions for tasks such as speech recognition or time series prediction. As it is based on a static topology, it allows making the most of very simple physical architectures having complex nonlinear dynamics. The method is inherently robust to noise and does not require explicit programming operations. It is therefore particularly well adapted for analog realizations. Among the various implementations of the concept that have been proposed, we focus on the field of optics. Our experimental reservoir computer is based on opto-electronic technology, and can be viewed as an intermediate step towards an all optical device. Our fiber optics system is based on a nonlinear feedback loop operating at the threshold of chaos. In its present preliminary stage it is already capable of complicated tasks like modeling nonlinear systems with memory. Our aim is to demonstrate that such an analog reservoir can have performances comparable to state of the art digital implementations of Neural Networks. Furthermore, our system can in principle be operated at very high frequencies thanks to the high speed of photonic devices. Thus one could envisage targeting applications such as online information processing in broadband telecommunications.

Paper Details

Date Published: 5 June 2010
PDF: 12 pages
Proc. SPIE 7728, Nonlinear Optics and Applications IV, 77280B (5 June 2010); doi: 10.1117/12.854050
Show Author Affiliations
Yvan Paquot, Univ. Libre de Bruxelles (Belgium)
Joni Dambre, Univ. Gent (Belgium)
Benjamin Schrauwen, Univ. Gent (Belgium)
Marc Haelterman, Univ. Libre de Bruxelles (Belgium)
Serge Massar, Univ. Libre de Bruxelles (Belgium)


Published in SPIE Proceedings Vol. 7728:
Nonlinear Optics and Applications IV
Benjamin J. Eggleton; Alexander Luis Gaeta; Neil G. R. Broderick, Editor(s)

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