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  • 标题:Novel synaptic memory device for neuromorphic computing
  • 本地全文:下载
  • 作者:Saptarshi Mandal ; Ammaarah El-Amin ; Kaitlyn Alexander
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2015
  • 卷号:4
  • 期号:1
  • DOI:10.1038/srep05333
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:This report discusses the electrical characteristics of two-terminal synaptic memory devices capable of demonstrating an analog change in conductance in response to the varying amplitude and pulse-width of the applied signal. The devices are based on Mn doped HfO2 material. The mechanism behind reconfiguration was studied and a unified model is presented to explain the underlying device physics. The model was then utilized to show the application of these devices in speech recognition. A comparison between a 20 nm × 20 nm sized synaptic memory device with that of a state-of-the-art VLSI SRAM synapse showed ~10× reduction in area and >106 times reduction in the power consumption per learning cycle.
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