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首页> 美国政府科技报告 >Analysis of Dynamic Linear and Non-Linear Memristor Device Models for Emerging Neuromorphic Computing Hardware Design
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Analysis of Dynamic Linear and Non-Linear Memristor Device Models for Emerging Neuromorphic Computing Hardware Design

机译：新兴神经形态计算硬件设计的动态线性和非线性忆阻器器件模型分析

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摘要

The value memristor devices offer to the neuromorphic computing hardware design community rests of the ability to provide effective device models that can enable large scale integrated computing architecture application simulations. Therefore, it is imperative to develop practical, functional device models of minimum mathematical complexity for fast, reliable, and accurate computing architecture technology design and simulation. To this end, various device models have been proposed in the literature seeking to characterize the physical electronic and time domain behavioral properties of memristor devices. In this work, we analyze some promising and practical non- quasi-static linear and non-linear memristor device models for neuromorphic circuit design and computing architecture simulation.

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