@inproceedings{70b63788312d45bbadff0882fc93fd01,
title = "Online training on RRAM based neuromorphic network: Experimental demonstration and operation scheme optimization",
abstract = "In this work, online training is experimentally demonstrated on a neuromorphic network built with 1k-bit 1T1R RRAM array. The 1T1R RRAM cells in the array exhibit excellent synaptic behavior. Patterns with up to 11.83% noises can be correctly classified by the network after training. Based on the analysis of experimental results, we find the device characteristics and operation schemes significantly affect the system performance. The impact of voltage dependence and asymmetry effects are evaluated, and optimization guidelines are provided.",
keywords = "RRAM, network, synaptic behavior",
author = "Peng Yao and Huaqiang Wu and Bin Gao and Ning Deng and Shimeng Yu and He Qian",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2017 ; Conference date: 28-02-2017 Through 02-03-2017",
year = "2017",
month = jun,
day = "13",
doi = "10.1109/EDTM.2017.7947592",
language = "English (US)",
series = "2017 IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "182--183",
booktitle = "2017 IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2017 - Proceedings",
}