论文标题
在香料中建模概率备忘录的网络
Modeling networks of probabilistic memristors in SPICE
论文作者
论文摘要
对概率的备忘录及其网络的有效仿真需要新颖的建模方法。与传统的备忘录建模的一个主要背离是基于网络状态的职业概率的主方程[ARXIV：2003.11011（2020）]。在本文中，我们展示了如何在香料中实现此类主方程 - 通用电路模拟程序。在案例研究中，我们模拟了AC驱动的概率二进制二进制和多状态回忆录的动力学，以及概率二进制二进制二进制和多状态回忆录的DC驱动网络。我们的香料结果与已知的分析解决方案完全吻合。包括LTSpice代码的示例。
Efficient simulation of probabilistic memristors and their networks requires novel modeling approaches. One major departure from the conventional memristor modeling is based on a master equation for the occupation probabilities of network states [arXiv:2003.11011 (2020)]. In the present article, we show how to implement such master equations in SPICE - a general-purpose circuit simulation program. In the case studies, we simulate the dynamics of ac-driven probabilistic binary and multi-state memristors, and dc-driven networks of probabilistic binary and multi-state memristors. Our SPICE results are in perfect agreement with known analytical solutions. Examples of LTspice codes are included.
