Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication-Reference-Cited by-同舟云学术

Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication

Published:2023-06-01 Issue:11 Volume:41 Page:3424-3431
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Arnold Elias¹^ORCID,Böcherer Georg²^ORCID,Strasser Florian²^ORCID,Müller Eric³^ORCID,Spilger Philipp¹^ORCID,Billaudelle Sebastian¹^ORCID,Weis Johannes¹^ORCID,Schemmel Johannes¹^ORCID,Calabrò Stefano²^ORCID,Kuschnerov Maxim²^ORCID

Affiliation:

1. Electronics Vision(s) Group at the Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany

2. Munich Research Center, Huawei Technologies Düsseldorf GmbH, Düsseldorf, Germany

3. European Institute for Neuromorphic Computing, Heidelberg University, Heidelberg, Germany

Funder

EC Horizon 2020 Framework Programme

Deutsche Forschungsgemeinschaft

DFG, German Research Foundation

Germany's Excellence Strategy

Heidelberg STRUCTURES Excellence Cluster

Helmholtz Association Initiative and Networking Fund Advanced Computing Architectures

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/50/10146346/10059327.pdf?arnumber=10059327

Reference26 articles.

1. Surrogate gradients for analog neuromorphic computing

2. Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system

3. Digital Coherent Optical Systems

4. Spiking neural network equalization on neuromorphic hardware for IM/DD optical communication;arnold;Proc Eur Conf Opt Commun,0

5. Spiking neural network decision feedback equalization;bansbach;Proc Int ITG Conf Syst Commun Coding,0

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