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

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

119 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 languageEnglish
Title of host publication2013 IEEE International Electron Devices Meeting, IEDM 2013
Pages25.6.1-25.6.4
DOIs
StatePublished - 2013
Event2013 IEEE International Electron Devices Meeting, IEDM 2013 - Washington, DC, United States
Duration: 9 Dec 201311 Dec 2013

Publication series

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

Conference

Conference2013 IEEE International Electron Devices Meeting, IEDM 2013
Country/TerritoryUnited States
CityWashington, DC
Period9/12/1311/12/13

Fingerprint

Dive into the research topics of 'Neuromorphic speech systems using advanced ReRAM-based synapse'. Together they form a unique fingerprint.

Cite this