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arXiv · 1904.08839

On the validity of memristor modeling in the neural network literature

Y. V. Pershin·M. Di Ventra
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Abstract

An analysis of the literature shows that there are two types of non-memristive models that have been widely used in the modeling of so-called "memristive" neural networks. Here, we demonstrate that such models have nothing in common with the concept of memristive elements: they describe either non-linear resistors or certain bi-state systems, which all are devices without memory. Therefore, the results presented in a significant number of publications are at least questionable, if not completely irrelevant to the actual field of memristive neural networks.

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Y. V. Pershin, M. Di Ventra. 2019-04-18. On the validity of memristor modeling in the neural network literature. https://doi.org/10.1016/j.neunet.2019.08.026

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