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dc.contributor.authorCheng, Z
dc.contributor.authorRíos, C
dc.contributor.authorPernice, WHP
dc.contributor.authorWright, CD
dc.contributor.authorBhaskaran, H
dc.date.accessioned2017-10-04T11:02:45Z
dc.date.issued2017-09-27
dc.description.abstractThe 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.en_GB
dc.description.sponsorshipThis research was supported via the Engineering and Physical Sciences Research Council Manufacturing Fellowship EP/J018694/1, the Wearable and Flexible Technologies (WAFT) collaboration (EP/M015173/1), and the Chalcogenide Advanced Manufacturing Partnership (EP/M015130/1).en_GB
dc.identifier.citationVol. 3 (9), article e1700160en_GB
dc.identifier.doi10.1126/sciadv.1700160
dc.identifier.other1700160
dc.identifier.urihttp://hdl.handle.net/10871/29678
dc.language.isoenen_GB
dc.publisherAmerican Association for the Advancement of Scienceen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/28959725en_GB
dc.rightsCopyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.titleOn-chip photonic synapseen_GB
dc.typeArticleen_GB
dc.date.available2017-10-04T11:02:45Z
exeter.place-of-publicationUnited Statesen_GB
dc.descriptionThis is the final version of the article. Available from the American Association for the Advancement of Science via the DOI in this record.en_GB
dc.identifier.journalScience Advancesen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/


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Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.