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.
@article{arxiv.2009.05189,
title = {Modeling networks of probabilistic memristors in SPICE},
author = {V. J. Dowling and V. A. Slipko and Y. V. Pershin},
journal= {arXiv preprint arXiv:2009.05189},
year = {2023}
}