Probing switching mechanism of memristor for neuromorphic computing

Zhe Yang, Zirui Zhang, Ce Li, Dongliang Yang, Fei Hui, Linfeng Sun*

*此作品的通讯作者

科研成果: 期刊稿件文献综述同行评审

3 引用 (Scopus)

摘要

In recent, neuromorphic computing has been proposed to simulate the human brain system to overcome bottlenecks of the von Neumann architecture. Memristors, considered emerging memory devices, can be used to simulate synapses and neurons, which are the key components of neuromorphic computing systems. To observe the resistive switching (RS) behavior microscopically and probe the local conductive filaments (CFs) of the memristors, conductive atomic force microscopy (CAFM) with the ultra-high resolution has been investigated, which could be helpful to understand the dynamic processes of synaptic plasticity and the firing of neurons. This review presents the basic working principle of CAFM and discusses the observation methods using CAFM. Based on this, CAFM reveals the internal mechanism of memristors, which is used to observe the switching behavior of memristors. We then summarize the synaptic and neuronal functions assisted by CAFM for neuromorphic computing. Finally, we provide insights into discussing the challenges of CAFM used in the neuromorphic computing system, benefiting the expansion of CAFM in studying neuromorphic computing-based devices.

源语言英语
文章编号022001
期刊Nano Express
4
2
DOI
出版状态已出版 - 1 6月 2023

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