Neuromorphic speech systems using advanced ReRAM-based synapse

S. Park; A. Sheri; J. Kim; J. Noh; J. Jang; M. Jeon; B. Lee; B. R. Lee; B. H. Lee; H. Hwang

doi:10.1109/IEDM.2013.6724692

Neuromorphic speech systems using advanced ReRAM-based synapse

S. Park, A. Sheri, J. Kim, J. Noh, J. Jang, M. Jeon, B. Lee, B. R. Lee, B. H. Lee, H. Hwang

Department of Chemical Engineering & Materials Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

126 Scopus citations

Abstract

We demonstrate an advanced ReRAM based analog artificial synapse for neuromorphic systems. Nitrogen doped TiN/PCMO based artificial synapse is proposed to improve the performance and reliability of the neuromorphic systems by using simple identical spikes. For the first time, we develop fully unsupervised learning with proposed analog synapses which is illustrated with the help of auditory and electroencephalography (EEG) applications.

Original language	English
Title of host publication	2013 IEEE International Electron Devices Meeting, IEDM 2013
Pages	25.6.1-25.6.4
DOIs	https://doi.org/10.1109/IEDM.2013.6724692
State	Published - 2013
Event	2013 IEEE International Electron Devices Meeting, IEDM 2013 - Washington, DC, United States Duration: 9 Dec 2013 → 11 Dec 2013

Publication series

Name	Technical Digest - International Electron Devices Meeting, IEDM
ISSN (Print)	0163-1918

Conference

Conference	2013 IEEE International Electron Devices Meeting, IEDM 2013
Country/Territory	United States
City	Washington, DC
Period	9/12/13 → 11/12/13

Access to Document

10.1109/IEDM.2013.6724692

Cite this

Park, S., Sheri, A., Kim, J., Noh, J., Jang, J., Jeon, M., Lee, B., Lee, B. R., Lee, B. H., & Hwang, H. (2013). Neuromorphic speech systems using advanced ReRAM-based synapse. In 2013 IEEE International Electron Devices Meeting, IEDM 2013 (pp. 25.6.1-25.6.4). Article 6724692 (Technical Digest - International Electron Devices Meeting, IEDM). https://doi.org/10.1109/IEDM.2013.6724692

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title = "Neuromorphic speech systems using advanced ReRAM-based synapse",

abstract = "We demonstrate an advanced ReRAM based analog artificial synapse for neuromorphic systems. Nitrogen doped TiN/PCMO based artificial synapse is proposed to improve the performance and reliability of the neuromorphic systems by using simple identical spikes. For the first time, we develop fully unsupervised learning with proposed analog synapses which is illustrated with the help of auditory and electroencephalography (EEG) applications.",

author = "S. Park and A. Sheri and J. Kim and J. Noh and J. Jang and M. Jeon and B. Lee and Lee, {B. R.} and Lee, {B. H.} and H. Hwang",

year = "2013",

doi = "10.1109/IEDM.2013.6724692",

language = "English",

isbn = "9781479923076",

series = "Technical Digest - International Electron Devices Meeting, IEDM",

pages = "25.6.1--25.6.4",

booktitle = "2013 IEEE International Electron Devices Meeting, IEDM 2013",

note = "2013 IEEE International Electron Devices Meeting, IEDM 2013 ; Conference date: 09-12-2013 Through 11-12-2013",

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Park, S, Sheri, A, Kim, J, Noh, J, Jang, J, Jeon, M, Lee, B, Lee, BR, Lee, BH & Hwang, H 2013, Neuromorphic speech systems using advanced ReRAM-based synapse. in 2013 IEEE International Electron Devices Meeting, IEDM 2013., 6724692, Technical Digest - International Electron Devices Meeting, IEDM, pp. 25.6.1-25.6.4, 2013 IEEE International Electron Devices Meeting, IEDM 2013, Washington, DC, United States, 9/12/13. https://doi.org/10.1109/IEDM.2013.6724692

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Y2 - 9 December 2013 through 11 December 2013

ER -

Neuromorphic speech systems using advanced ReRAM-based synapse

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