Neuromorphic nanowire networks: principles, progress and future prospects for neuro-inspired information processing

Advances in Physics: X

Zdenka Kuncic¹  Tomonobu Nakayama² 

[1] School of Physics and Sydney Nano Institute, University of Sydney, Sydney NSW, Australi;International Center for Materials Nanoarchitectonics (WPI-MANA), National Institute for Materials Science (NIMS), Ibaraki, Japa;School of Physics and Sydney Nano Institute, University of Sydney, Sydney NSW, Australi;International Center for Materials Nanoarchitectonics (WPI-MANA), National Institute for Materials Science (NIMS), Ibaraki, Japa;Graduate School of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japa;

关键词: Neuromorphic systems;    resistive switching memory;    nonlinear dynamics;    network dynamics;    metallic nanowire networks;   

DOI  :  10.1080/23746149.2021.1894234

来源: Taylor & Francis

【 摘 要 】

Nanowire networks represent a unique class of neuromorphic systems. Their self-assembly confers a complex structure to their network circuitry, embedding a higher interconnectivity of resistive switching memory (memristive) cross-point junctions than can be achieved with top-down nanofabrication methods. Coupling of the nonlinear memristive dynamics to the network topology enables intrinsic adaptiveness and gives rise to emergent non-local dynamics. In this article, we summarise the physical principles underlying the memristive junctions and network dynamics of neuromorphic nanowire networks and provide the first comprehensive review of studies to date. We conclude with a perspective on future prospects for neuromorphic information processing.

【 授权许可】

CC BY