首页> 外文期刊>Electron Device Letters, IEEE >TiOx-Based RRAM Synapse With 64-Levels of Conductance and Symmetric Conductance Change by Adopting a Hybrid Pulse Scheme for Neuromorphic Computing
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TiOx-Based RRAM Synapse With 64-Levels of Conductance and Symmetric Conductance Change by Adopting a Hybrid Pulse Scheme for Neuromorphic Computing

机译:通过采用混合脉冲方案进行神经形态计算的基于TiOx的具有64级电导和对称电导变化的RRAM突触

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摘要

We propose TiOx-based resistive switching device for neuromorphic synapse applications. This device is capable of 64-levels conductance states because of their optimized interface between the metal electrode and the TiOx film. To compensate the change in switching power with increasing pulse number, we propose the use of fixed voltage and current pulses in potentiation and depression conditions, respectively. By adopting a hybrid pulse scheme, the symmetry of conductance change under both potentiation and depression conditions is shown to be significantly improved. Both the improved conductance levels and the symmetry of conductance change are directly related with enhanced pattern recognition accuracy, which is confirmed by a neural network simulation.
机译:我们提出了基于TiOx的电阻式开关装置,用于神经形态突触应用。由于其在金属电极和TiOx膜之间的优化界面,该器件能够实现64级电导状态。为了补偿随着脉冲数增加而引起的开关功率变化,我们建议在增幅和降压条件下分别使用固定电压和电流脉冲。通过采用混合脉冲方案,显示了在增强和抑制条件下电导变化的对称性都得到了显着改善。改进的电导水平和电导变化的对称性都与增强的模式识别精度直接相关,这已通过神经网络仿真得到证实。

著录项

  • 来源
    《Electron Device Letters, IEEE》 |2016年第12期|1559-1562|共4页
  • 作者单位

    Department of Materials Science and Engineering, Pohang University of Science and Technology, Pohang, South Korea;

    Department of Materials Science and Engineering, Pohang University of Science and Technology, Pohang, South Korea;

    Department of Materials Science and Engineering, Pohang University of Science and Technology, Pohang, South Korea;

    Department of Materials Science and Engineering, Pohang University of Science and Technology, Pohang, South Korea;

    Department of Materials Science and Engineering, Pohang University of Science and Technology, Pohang, South Korea;

    Department of Materials Science and Engineering, Pohang University of Science and Technology, Pohang, South Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Switches; Pattern recognition; Programming; Neuromorphics; Neurons; Electrodes; Biological neural networks;

    机译:开关;模式识别;编程;神经形态学;神经元;电极;生物神经网络;

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