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On-chip photonic synapse
The search for new “neuromorphic computing” architectures that mimic the brain’s approach to simultaneous processing and storage of information is intense. Because, in real brains, neuronal synapses outnumber neurons by many orders of magnitude, the realization of hardware devices mimicking the func...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for the Advancement of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617375/ https://www.ncbi.nlm.nih.gov/pubmed/28959725 http://dx.doi.org/10.1126/sciadv.1700160 |
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author | Cheng, Zengguang Ríos, Carlos Pernice, Wolfram H. P. Wright, C. David Bhaskaran, Harish |
author_facet | Cheng, Zengguang Ríos, Carlos Pernice, Wolfram H. P. Wright, C. David Bhaskaran, Harish |
author_sort | Cheng, Zengguang |
collection | PubMed |
description | The search for new “neuromorphic computing” architectures that mimic the brain’s approach to simultaneous processing and storage of information is intense. Because, in real brains, neuronal synapses outnumber neurons by many orders of magnitude, the realization of hardware devices mimicking the functionality of a synapse is a first and essential step in such a search. We report the development of such a hardware synapse, implemented entirely in the optical domain via a photonic integrated-circuit approach. Using purely optical means brings the benefits of ultrafast operation speed, virtually unlimited bandwidth, and no electrical interconnect power losses. Our synapse uses phase-change materials combined with integrated silicon nitride waveguides. Crucially, we can randomly set the synaptic weight simply by varying the number of optical pulses sent down the waveguide, delivering an incredibly simple yet powerful approach that heralds systems with a continuously variable synaptic plasticity resembling the true analog nature of biological synapses. |
format | Online Article Text |
id | pubmed-5617375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56173752017-09-28 On-chip photonic synapse Cheng, Zengguang Ríos, Carlos Pernice, Wolfram H. P. Wright, C. David Bhaskaran, Harish Sci Adv Research Articles The search for new “neuromorphic computing” architectures that mimic the brain’s approach to simultaneous processing and storage of information is intense. Because, in real brains, neuronal synapses outnumber neurons by many orders of magnitude, the realization of hardware devices mimicking the functionality of a synapse is a first and essential step in such a search. We report the development of such a hardware synapse, implemented entirely in the optical domain via a photonic integrated-circuit approach. Using purely optical means brings the benefits of ultrafast operation speed, virtually unlimited bandwidth, and no electrical interconnect power losses. Our synapse uses phase-change materials combined with integrated silicon nitride waveguides. Crucially, we can randomly set the synaptic weight simply by varying the number of optical pulses sent down the waveguide, delivering an incredibly simple yet powerful approach that heralds systems with a continuously variable synaptic plasticity resembling the true analog nature of biological synapses. American Association for the Advancement of Science 2017-09-27 /pmc/articles/PMC5617375/ /pubmed/28959725 http://dx.doi.org/10.1126/sciadv.1700160 Text en Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Cheng, Zengguang Ríos, Carlos Pernice, Wolfram H. P. Wright, C. David Bhaskaran, Harish On-chip photonic synapse |
title | On-chip photonic synapse |
title_full | On-chip photonic synapse |
title_fullStr | On-chip photonic synapse |
title_full_unstemmed | On-chip photonic synapse |
title_short | On-chip photonic synapse |
title_sort | on-chip photonic synapse |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617375/ https://www.ncbi.nlm.nih.gov/pubmed/28959725 http://dx.doi.org/10.1126/sciadv.1700160 |
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