期刊
NANOTECHNOLOGY
卷 30, 期 3, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/1361-6528/aae975
关键词
neuromorphic computing; emerging memory; spike-timing-dependent plasticity (STDP); spike-rate-dependent plasticity (SRDP); back-propagation (BP); synaptic device
资金
- MOTIE (Ministry of Trade, Industry Energy) [10080583]
- KSRC (Korea Semiconductor Research Consortium) support program for the development of the future semiconductor device
- KIST Institutional Program [2E27810-18-P040]
- National Research Foundation of Korea [NRF-2016M3A7B4909604]
- Brain Korea 21 Plus Project in 2018
- Korea Evaluation Institute of Industrial Technology (KEIT) [10080583] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
In this paper, we reviewed the recent trends on neuromorphic computing using emerging memory technologies. Two representative learning algorithms used to implement a hardware-based neural network are described as a bio-inspired learning algorithm and software-based learning algorithm, in particular back-propagation. The requirements of the synaptic device to apply each algorithm were analyzed. Then, we reviewed the research trends of synaptic devices to implement an artificial neural network.
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