Neuromorphic information processing using silicon photonics

被引：0
作者：
Bienstman, Peter [1 ]
Dambre, Joni [2 ]
Katumba, Andrew [1 ]
Freiberger, Matthias [2 ]
Laporte, Floris [1 ]
Lugnan, Alessio [1 ]
Sackesyn, Stijn [1 ]
Ma, Chonghuai [1 ]
机构：
[1] Univ Ghent, Dept Informat Technol, Photon Res Grp, IMEC, Ghent, Belgium
[2] Univ Ghent, Dept Elect & Informat Syst, Data Sci Lab, IMEC, Ghent, Belgium
来源：
ACTIVE PHOTONIC PLATFORMS XI | 2019年 / 11081卷
基金：
欧盟地平线“2020”;
关键词：
photonic neuromorphic information processing; reservoir computing; silicon photonics;
D O I：
10.1117/12.2524707
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：7
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