用于高级神经形态计算的分栅闪存单元建模

M. Tadayoni, S. Hariharan, S. Lemke, T. Pate-Cazal, B. Bertello, V. Tiwari, N. Do
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引用次数: 5

摘要

分闸闪存技术最近被用于神经形态计算,其中非易失性存储器阵列被设计成这样一种方式,使单个存储器元件能够高精度调谐。这项工作首次提出了分栅闪存单元的双晶体管,选择门和浮门的SPICE模型,在180 nm CMOS技术中实现,允许用户将单个存储单元设置为任何精确的模拟状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling split-gate flash memory cell for advanced neuromorphic computing
Split-gate flash memory technology had recently been used in neuromorphic computation where a non-volatile memory array is designed in such a way that enables high-precision tuning of individual memory elements. This work proposes for the first time a SPICE model of the two-transistor, select gate and floating gate, of the split-gate flash memory cell, implemented in a 180 nm CMOS technology, that allows the users to set the individual memory cell to any precise analog state.
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