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Cited by 205

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Photonic Nonlinear Transient Computing with Multiple-Delay Wavelength Dynamics

Martinenghi, Romain, Rybalko, Sergei, Jacquot, Maxime, Chembo, Yanne K., Larger, Laurent·2012·Physical Review Letters

Abstract

We report on the experimental demonstration of a hybrid optoelectronic neuromorphic computer based on a complex nonlinear wavelength dynamics including multiple delayed feedbacks with randomly defined weights. This neuromorphic approach is based on a new paradigm of a brain-inspired computational unit, intrinsically differing from Turing machines. This recent paradigm consists in expanding the input information to be processed into a higher dimensional phase space, through the nonlinear transient response of a complex dynamics excited by the input information. The computed output is then extracted via a linear separation of the transient trajectory in the complex phase space. The hyperplane separation is derived from a learning phase consisting of the resolution of a regression problem. The processing capability originates from the nonlinear transient, resulting in nonlinear transient computing. The computational performance is successfully evaluated on a standard benchmark test, namely, a spoken digit recognition task.

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Metadata

Authors
Martinenghi, R., Rybalko, S., Jacquot, M., Chembo, Y. K., & Larger, L.
Venue
Physical Review Letters
Published
2012-06-15
Volume
108
Issue
24
Pages
244101-244101
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2329961282
Cited by
205
References
1
FWCI
9.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Photonic Nonlinear Transient Computing with Multiple-Delay Wavelength Dynamics. https://app.cochat.ai/papers/10.1103/physrevlett.108.244101
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Martinenghi, R., Rybalko, S., Jacquot, M., Chembo, Y. K., & Larger, L. (2012). Photonic Nonlinear Transient Computing with Multiple-Delay Wavelength Dynamics. Physical Review Letters. https://doi.org/10.1103/physrevlett.108.244101

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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