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Cited 2 time in webofscience Cited 1 time in scopus
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Alternate Pulse Scheme in a Hardware Neural Network for Reducing the Influence of Asymmetry on Synaptic Weight Updating

Authors
Li, ChengAn, JunseopKweon, Jun YoungSong, Yun Heub
Issue Date
Feb-2020
Publisher
IEEK PUBLICATION CENTER
Keywords
Phase-change memory; PCM; neural network; feature extraction; neuron; synapse
Citation
JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, v.20, no.1, pp.119 - 126
Indexed
SCIE
SCOPUS
KCI
Journal Title
JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE
Volume
20
Number
1
Start Page
119
End Page
126
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/2087
DOI
10.5573/JSTS.2020.20.1.119
ISSN
1598-1657
Abstract
Recently, researchers have been paying more attention to hardware neural networks with memory devices acting as synapses due to their small area and low power consumption. We prefer to use a phase-change memory (PCM) device as a synapse due to its excellent synapse-like properties. However, due to the programming mechanism of PCMs, the asymmetric characteristic of the PCM between partially set and partially reset is severe. In this paper, we proposed an alternate pulse scheme (APS) to reduce the influence of the asymmetry between long-term potentiation and long-term depression operations.
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