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Optoelectronic reservoir computing

(2012) SCIENTIFIC REPORTS. 2. p.1-6
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Abstract
Reservoir computing is a recently introduced, highly efficient bio-inspired approach for processing time dependent data. The basic scheme of reservoir computing consists of a non linear recurrent dynamical system coupled to a single input layer and a single output layer. Within these constraints many implementations are possible. Here we report an optoelectronic implementation of reservoir computing based on a recently proposed architecture consisting of a single non linear node and a delay line. Our implementation is sufficiently fast for real time information processing. We illustrate its performance on tasks of practical importance such as nonlinear channel equalization and speech recognition, and obtain results comparable to state of the art digital implementations.
Keywords
Reservoir Computing, Optoelectronic, delayed-feedback, delay-coupled systems, computation, dynamical systems

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Chicago
Paquot, Yvan, Francois Duport, Antoneo Smerieri, Joni Dambre, Benjamin Schrauwen, Marc Haelterman, and Serge Massar. 2012. “Optoelectronic Reservoir Computing.” Scientific Reports 2: 1–6.
APA
Paquot, Y., Duport, F., Smerieri, A., Dambre, J., Schrauwen, B., Haelterman, M., & Massar, S. (2012). Optoelectronic reservoir computing. SCIENTIFIC REPORTS, 2, 1–6.
Vancouver
1.
Paquot Y, Duport F, Smerieri A, Dambre J, Schrauwen B, Haelterman M, et al. Optoelectronic reservoir computing. SCIENTIFIC REPORTS. 2012;2:1–6.
MLA
Paquot, Yvan, Francois Duport, Antoneo Smerieri, et al. “Optoelectronic Reservoir Computing.” SCIENTIFIC REPORTS 2 (2012): 1–6. Print.
@article{2041936,
  abstract     = {Reservoir computing is a recently introduced, highly efficient bio-inspired approach for processing time dependent data. The basic scheme of reservoir computing consists of a non linear recurrent dynamical system coupled to a single input layer and a single output layer. Within these constraints many  implementations are possible. Here we report an optoelectronic implementation of reservoir computing based on a recently proposed architecture consisting of a single non linear node and a delay line. Our implementation is sufficiently fast for real time information processing. We illustrate its performance on tasks of practical importance such as nonlinear channel equalization and speech recognition, and obtain results comparable to state of the art digital implementations.},
  articleno    = {287},
  author       = {Paquot, Yvan and Duport, Francois and Smerieri, Antoneo and Dambre, Joni and Schrauwen, Benjamin and Haelterman, Marc and Massar, Serge},
  issn         = {2045-2322},
  journal      = {SCIENTIFIC REPORTS},
  language     = {eng},
  pages        = {287:1--287:6},
  title        = {Optoelectronic reservoir computing},
  url          = {http://dx.doi.org/10.1038/srep00287},
  volume       = {2},
  year         = {2012},
}

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