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A Flexible Artificial Synapse for Neuromorphic System
KTH, School of Electrical Engineering and Computer Science (EECS).
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2018 (English)In: 2018 IEEE International Conference on Electron Devices and Solid State Circuits, EDSSC 2018, Institute of Electrical and Electronics Engineers Inc. , 2018Conference paper, Published paper (Refereed)
Abstract [en]

Neuromorphic computing, as a new paradigm, highlighted for its highly parallel, energy efficient features, has attracted a lot of attention. The hardware implementation for a neuromorphic system proposes the strong desire for suitable building blocks. The synaptic device is a very promising solution because of its stimulation-history-related response, which fits the nature of a neural network. In this work, an artificial synapse based on a memristive transistor fabricated by a simple process is realized. The device not only shows multi-level states which is the main feature of a memristor and is essential to hardware implementation neuromorphic system, but also exhibits physical flexibility, a feature that supports wearable and portable electronics. On this basis, a proof-of-feasibility simulation using the experimental data is performed to realize the pattern classification.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018.
Keywords [en]
Flexible, Memristive, Neuromorphic, Synapse, Energy efficiency, Hardware, Hardware implementations, Neuromorphic computing, Neuromorphic systems, Portable electronics, Solid state devices
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-247144DOI: 10.1109/EDSSC.2018.8487170Scopus ID: 2-s2.0-85056316042ISBN: 9781538662342 (print)OAI: oai:DiVA.org:kth-247144DiVA, id: diva2:1314035
Conference
2018 IEEE International Conference on Electron Devices and Solid State Circuits, EDSSC 2018, 6 June 2018 through 8 June 2018
Note

QC 20190507

Available from: 2019-05-07 Created: 2019-05-07 Last updated: 2019-05-07Bibliographically approved

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Yang, KunlongSeoane, Fernando

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School of Electrical Engineering and Computer Science (EECS)School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH)
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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