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Proceedings Paper

Neuromorphic information processing using silicon photonics
Author(s): Peter Bienstman; Joni Dambre; Andrew Katumba; Matthias Freiberger; Floris Laporte; Alessio Lugnan; Stijn Sackesyn; Chonghuai Ma
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Paper Abstract

We present our latest results on silicon photonics neuromorphic information processing based a.o. on techniques like reservoir computing. First, we dicuss how passive reservoir computing can be used to perform non-linear signal equalisation in telecom links. Then, we introduce a training method that can deal with limited weight resolution for a hardware implementation of a photonic readout.

Paper Details

Date Published: 5 September 2019
PDF: 7 pages
Proc. SPIE 11081, Active Photonic Platforms XI, 110811I (5 September 2019); doi: 10.1117/12.2524707
Show Author Affiliations
Peter Bienstman, Ghent Univ. (Belgium)
IMEC (Belgium)
Joni Dambre, Ghent Univ. (Belgium)
IMEC (Belgium)
Andrew Katumba, Ghent Univ. (Belgium)
IMEC (Belgium)
Matthias Freiberger, Ghent Univ. (Belgium)
IMEC (Belgium)
Floris Laporte, Ghent Univ. (Belgium)
IMEC (Belgium)
Alessio Lugnan, Ghent Univ. (Belgium)
IMEC (Belgium)
Stijn Sackesyn, Ghent Univ. (Belgium)
IMEC (Belgium)
Chonghuai Ma, Ghent Univ. (Belgium)
IMEC (Belgium)


Published in SPIE Proceedings Vol. 11081:
Active Photonic Platforms XI
Ganapathi S. Subramania; Stavroula Foteinopoulou, Editor(s)

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