Perspective: A review on memristive hardware for neuromorphic computation-Reference-Cited by-同舟云学术

Perspective: A review on memristive hardware for neuromorphic computation

Published:2018-10-21 Issue:15 Volume:124 Page:151903
ISSN:0021-8979
Container-title:Journal of Applied Physics
language:en
Short-container-title:Journal of Applied Physics

Author:

Sung Changhyuck¹,Hwang Hyunsang¹,Yoo In Kyeong¹

Affiliation:

1. Center for Single Atom-based Semiconductor Device and Department of Materials Science and Engineering, Pohang University of Science and Technology, Pohang 37673, South Korea

Publisher

AIP Publishing

Subject

General Physics and Astronomy

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5037835

Reference77 articles.

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3. M. Hu, J. P. Strachan, Z. Li, E. M. Grafals, N. Davila, C. Graves, S. Lam, N. Ge, J. J. Yang, and R. S. Williams, “Dot-product engine for neuromorphic computing: Programming 1T1M crossbar to accelerate matrix-vector multiplication,” inProceedings of the 53rd Annual Design Automation Conference (DAC),Austin, TX, 5–9 June 2016 (ACM, 2016), pp. 1–6.

4. Nanoscale Memristor Device as Synapse in Neuromorphic Systems

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