@inproceedings{2c481503465f479cb82d7a3d0df6074b,
title = "Implementation of hardware-based neural network using memristors with abrupt SET and gradual RESET characteristics",
abstract = "Recent advance of artificial intelligence comes from the rapid growth of artificial neural network technology. Memristors play a crucial role in the hardware implementation of artificial neural networks, thanks to the multilevel conductance of memristors by switching behaviors. Here, we propose a synaptic device with a Pr0.7Ca0.3MnO3 (PCMO) switching layer which shows the abrupt SET and gradual RESET switching characteristics. Improved linearity of the synaptic transmission caused by switching characteristics can enhance the classification performance of neuromorphic systems.",
keywords = "memristor, neural network, neuromorphic system, synapse",
author = "Yeon Pyo and Sahn Nahm and Jichai Jeong and Jaeyoung Shin",
note = "Funding Information: This work was supported in part by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No. 2017-0-00451) and the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology under Grant NRF-2018R1D1A1B07042378. Publisher Copyright: {\textcopyright} 2020 IEEE.; 8th International Winter Conference on Brain-Computer Interface, BCI 2020 ; Conference date: 26-02-2020 Through 28-02-2020",
year = "2020",
month = feb,
doi = "10.1109/BCI48061.2020.9061641",
language = "English",
series = "8th International Winter Conference on Brain-Computer Interface, BCI 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "8th International Winter Conference on Brain-Computer Interface, BCI 2020",
}