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Realization of neural coding by stochastic switching of magnetic tunnel junction

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, we present the realization of neural rate coding with probabilistic spike trains by using two back-to-back magnetic tunnel junctions (MTJs) for the bio-inspired computing applications. By exploiting the intrinsic stochastic switching of the MTJ device between two different resistance states, an analog stimulus can be converted into a probabilistic spike train and its spike rate can be modulated by the switching probability, which depends on the magnitude of the stimulus. To implement such conversion, we propose a hybrid CMOS/MTJ circuit. By using a physics-based MTJ compact model and a commercial CMOS 40nm design kit, its functionality has been validated. Additionally, we also investigate the relationship between switching probability and stimulus by Monte Carlo simulations.

源语言英语
主期刊名2015 15th Non-Volatile Memory Technology Symposium, NVMTS 2015
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781509021260
DOI
出版状态已出版 - 20 4月 2016
活动15th Non-Volatile Memory Technology Symposium, NVMTS 2015 - Beijing, 中国
期限: 12 10月 201514 10月 2015

出版系列

姓名2015 15th Non-Volatile Memory Technology Symposium, NVMTS 2015

会议

会议15th Non-Volatile Memory Technology Symposium, NVMTS 2015
国家/地区中国
Beijing
时期12/10/1514/10/15

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