神经形态芯片大型忆阻交叉栅阵列的建模与分析

Lidan Fang, Yan Li, Erping Li
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引用次数: 0

摘要

本文给出了一个完整的大型忆阻交叉栅阵列等效电路模型,包括寄生电容、电感和电阻。通过改变输入信号的上升时间和监测不同输出端口的输出电压,分析了忆阻交叉棒阵列中串扰、红外压降等信号完整性问题。仿真结果表明,随着上升时间的减小,电磁效应会变得明显,从而导致输出信号的串扰纹波和畸变变得严重。当输出端远离输入端时,红外压降随着耦合元件的增加而增加。这将为提高忆阻交叉栅阵列的性能指明方向。此外,与传统信号不同,我们建议使用Izhikevich神经元模型模拟尖峰信号以获得更准确的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Analysis of a Large-Scale Memristor Crossbar Array for Neuromorphic Chip
This paper presents a complete equivalent circuit model of a large memristor crossbar array, including parasitic capacitance, inductance, and resistance. By changing the rise time of the input signal and monitoring the output voltage of different output ports, signal integrity (SI) problems such as crosstalk, and IR voltage drop in the memristor crossbar array are analyzed. The simulation results show that with the decrease of the rise time, the electromagnetic effect will become obvious, which will lead to the crosstalk ripple and distortion of the output signal becoming serious. And as the output port moves away from the input, the IR voltage drop increases with the increase of the coupling elements. This will point the direction for improving the performance of memristor crossbar arrays. Furthermore, different from conventional signals, we propose to simulate spiking signals using the Izhikevich neuron model for more accurate analysis.
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