Neuromorphic Nanoionics for Human-Machine Interaction: From Materials to Applications

被引:26
作者
Liu, Xuerong [1 ,2 ,3 ]
Sun, Cui [1 ,2 ]
Ye, Xiaoyu [1 ,2 ]
Zhu, Xiaojian [1 ,2 ]
Hu, Cong [1 ,2 ]
Tan, Hongwei [4 ]
He, Shang [1 ,2 ]
Shao, Mengjie [1 ,2 ]
Li, Run-Wei [1 ,2 ]
机构
[1] Chinese Acad Sci, CAS Key Lab Magnet Mat & Devices, Ningbo 315201, Peoples R China
[2] Chinese Acad Sci, Ningbo Inst Mat Technol & Engn, Zhejiang Prov Key Lab Magnet Mat & Applicat Techno, Ningbo 315201, Peoples R China
[3] Univ Chinese Acad Sci, Coll Mat Sci & Optoelect Technol, Beijing 100049, Peoples R China
[4] Aalto Univ, Dept Appl Phys, FI-00076 Aalto, Finland
基金
中国国家自然科学基金;
关键词
human-machine interaction; ion-gated transistor; nanoionic memristor; neuromorphic nanoionics; synapse and neuron; RESISTIVE SWITCHING MEMORY; LONG-TERM POTENTIATION; SYNAPTIC TRANSISTORS; CONDUCTIVE FILAMENT; ARTIFICIAL SYNAPSE; MEMRISTOR; PLASTICITY; VOLTAGE; DEVICES; NEURON;
D O I
10.1002/adma.202311472
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Human-machine interaction (HMI) technology has undergone significant advancements in recent years, enabling seamless communication between humans and machines. Its expansion has extended into various emerging domains, including human healthcare, machine perception, and biointerfaces, thereby magnifying the demand for advanced intelligent technologies. Neuromorphic computing, a paradigm rooted in nanoionic devices that emulate the operations and architecture of the human brain, has emerged as a powerful tool for highly efficient information processing. This paper delivers a comprehensive review of recent developments in nanoionic device-based neuromorphic computing technologies and their pivotal role in shaping the next-generation of HMI. Through a detailed examination of fundamental mechanisms and behaviors, the paper explores the ability of nanoionic memristors and ion-gated transistors to emulate the intricate functions of neurons and synapses. Crucial performance metrics, such as reliability, energy efficiency, flexibility, and biocompatibility, are rigorously evaluated. Potential applications, challenges, and opportunities of using the neuromorphic computing technologies in emerging HMI technologies, are discussed and outlooked, shedding light on the fusion of humans with machines. This review aims to provide a timely and comprehensive overview of the latest advancements in neuromorphic nanoionics, focusing on nanoionic memristors, ion-gated transistors, and their potential for next-generation human-machine interaction applications. image
引用
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页数:42
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