Review of candidate devices for neuromorphic applications

Jong Ho Lee, Sung Yun Woo, Sung Tae Lee, Suhwan Lim, Won Mook Kang, Young Tak Seo, Soochang Lee, Dongseok Kwon, Seongbin Oh, Yoohyun Noh, Hyeongsu Kim, Jangsaeng Kim, Jong Ho Bae

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


Artificial intelligence technology has attracted much attention in recent years, and technological progress of this technology is anticipated with the development of semiconductor technology. This talk focuses on synaptic mimic devices to realize artificial intelligence with semiconductor memory technology. These synaptic devices affect cognitive accuracy along with conductance quantization and architecture. Therefore, we will first discuss from the architectural point of view and examine the characteristics of candidates for various synapse devices being reported. In particular, we concentrate on synaptic imitation devices that creatively use the functions of several flash memory devices. Finally, we discuss device variation and IR drop along metal wires as common challenges for synaptic devices, and how neuromorphic technology will evolve.

Original languageEnglish
Title of host publication49th European Solid-State Device Research Conference, ESSDERC 2019
PublisherEditions Frontieres
Number of pages6
ISBN (Electronic)9781728115399
StatePublished - Sep 2019
Event49th European Solid-State Device Research Conference, ESSDERC 2019 - Cracow, Poland
Duration: 23 Sep 201926 Sep 2019

Publication series

NameEuropean Solid-State Device Research Conference
ISSN (Print)1930-8876


Conference49th European Solid-State Device Research Conference, ESSDERC 2019


  • emerging memories
  • flash memories
  • neural networks
  • neuromorphic systems
  • synaptic devices


Dive into the research topics of 'Review of candidate devices for neuromorphic applications'. Together they form a unique fingerprint.

Cite this