@inproceedings{f7429112bec640d7bb6d6643e97ca419,
title = "Memristor-based synapses and neurons for neuromorphic computing",
abstract = "A memristor-based architecture for neuromorphic computing is proposed. With memristors mimicking key characteristics of synapses and neurons, such nanoscale neural networks exhibit learning and memory effects with high integration density and scalability. Simulations demonstrate important features including adjustable spike generation, spike-timing and spike-rate dependent plasticity.",
author = "Le Zheng and Sangho Shin and Kang, {Sung Mo Steve}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Symposium on Circuits and Systems, ISCAS 2015 ; Conference date: 24-05-2015 Through 27-05-2015",
year = "2015",
month = jul,
day = "27",
doi = "10.1109/ISCAS.2015.7168842",
language = "English (US)",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1150--1153",
booktitle = "2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015",
address = "United States",
}