基于仿生电化学的人工突触装置:综述

IF 5.3 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Ji Hyun Baek , In Hyuk Im , Eun-Mi Hur , Jungwon Park , Jongwoo Lim , Sangbum Kim , Kibum Kang , Soo Young Kim , Jae Yong Song , Ho Won Jang
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引用次数: 0

摘要

由于先进的神经形态系统在人工智能、机器人和脑机接口方面的潜力,对它们的需求激增。人工突触是实现硬件神经形态系统的核心要素。在突触设备的各种领域中,电化学离子电子突触(EIS)近年来备受瞩目。EIS 设备通过精确调节活性区域内的离子浓度,在局部电子结构扰动的基础上可逆地调节电导率,从而近似复制了自然突触机制。以仿生电化学为指导的 EIS 具有独特的优势,如精确的重量调节、稳定的性能、低能耗和快速切换。它们对各种离子和材料的适应性巩固了其作为神经网络加速器的适用性。在本综述中,我们将全面探讨 EIS 设备,研究其基本原理、最新进展和即将面临的挑战。EIS 有可能弥补人工神经网络与生物神经网络之间的差距,为先进的硬件网络提供一条途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Artificial synaptic devices based on biomimetic electrochemistry: A review

Artificial synaptic devices based on biomimetic electrochemistry: A review

The demand for advanced neuromorphic systems has surged due to their potential in artificial intelligence, robotics, and brain-computer interfaces. Artificial synapses are core elements in implementing hardware neuromorphic systems. Within the diverse realm of synaptic devices, electrochemical iontronic synapses (EISs) have gained prominence in recent years. EIS devices closely replicate natural synaptic mechanisms by precisely regulating ion concentrations within active regions, reversibly modulating conductivity based on the local perturbation of the electronic structure. EISs, guided by biomimetic electrochemistry, provide unique advantages such as precise weight modulation, consistent performance, low energy consumption, and rapid switching. Their adaptability to various ions and materials solidifies their applicability as neural network accelerators. In this review, we comprehensively explore EIS devices, examining their fundamental principles, recent progress, and forthcoming challenges. EISs hold the potential to bridge the gap between artificial and biological neural networks, offering a pathway to advanced hardware networks.

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来源期刊
Materials Research Bulletin
Materials Research Bulletin 工程技术-材料科学:综合
CiteScore
9.80
自引率
5.60%
发文量
372
审稿时长
42 days
期刊介绍: Materials Research Bulletin is an international journal reporting high-impact research on processing-structure-property relationships in functional materials and nanomaterials with interesting electronic, magnetic, optical, thermal, mechanical or catalytic properties. Papers purely on thermodynamics or theoretical calculations (e.g., density functional theory) do not fall within the scope of the journal unless they also demonstrate a clear link to physical properties. Topics covered include functional materials (e.g., dielectrics, pyroelectrics, piezoelectrics, ferroelectrics, relaxors, thermoelectrics, etc.); electrochemistry and solid-state ionics (e.g., photovoltaics, batteries, sensors, and fuel cells); nanomaterials, graphene, and nanocomposites; luminescence and photocatalysis; crystal-structure and defect-structure analysis; novel electronics; non-crystalline solids; flexible electronics; protein-material interactions; and polymeric ion-exchange membranes.
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