神经形态工程学
数码产品
电阻随机存取存储器
领域(数学)
记忆晶体管
透视图(图形)
记忆电阻器
计算机体系结构
计算机科学
电子工程
计算机工程
工程类
电气工程
人工智能
人工神经网络
数学
电压
纯数学
作者
Mohammed A. Zidan,John Paul Strachan,Wei Lü
标识
DOI:10.1038/s41928-017-0006-8
摘要
A memristor is a resistive device with an inherent memory. The theoretical concept of a memristor was connected to physically measured devices in 2008 and since then there has been rapid progress in the development of such devices, leading to a series of recent demonstrations of memristor-based neuromorphic hardware systems. Here, we evaluate the state of the art in memristor-based electronics and explore where the future of the field lies. We highlight three areas of potential technological impact: on-chip memory and storage, biologically inspired computing and general-purpose in-memory computing. We analyse the challenges, and possible solutions, associated with scaling the systems up for practical applications, and consider the benefits of scaling the devices down in terms of geometry and also in terms of obtaining fundamental control of the atomic-level dynamics. Finally, we discuss the ways we believe biology will continue to provide guiding principles for device innovation and system optimization in the field. This Perspective evaluates the state of the art in memristor-based electronics and explores the future development of such devices in on-chip memory, biologically inspired computing and general-purpose in-memory computing.
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