神经形态工程学
生物电子学
材料科学
纳米技术
瓶颈
计算机体系结构
有机电子学
晶体管
计算机科学
桥接(联网)
冯·诺依曼建筑
数码产品
领域(数学)
可扩展性
人工神经网络
场效应晶体管
有机半导体
电子工程
微电子
芯片上的系统
电子材料
记忆电阻器
电气工程
作者
Kexin Xiang,Jiajun Song,Hong Liu,Junxin Chen,Feng Yan
标识
DOI:10.1002/adma.202515532
摘要
Abstract Neuromorphic engineering, an interdisciplinary field bridging bioelectronics and neuroscience, endeavors to address the bottleneck of the von Neumann architecture by constructing hardware‐level artificial neural networks (ANNs) and replicate the complicated architecture and functionality of the human brain, heralding a new era of intelligent sensing, processing, and computing systems. Organic electrochemical transistors (OECTs), which operate via the bulk doping of organic mixed ionic–electronic conductors, are emerging as promising platforms for neuromorphic devices that emulate neuronal and synaptic activities while seamlessly integrating with biological systems. OECTs offer several advantages, including compatibility with flexible and stretchable substrates, tunable ionic and electronic conductivity, multimodal sensing capability, and operation at low voltages. This review aims to provide a comprehensive and state‐of‐the‐art vista of the rapidly advancing field of OECT‐based neuromorphic devices, including organic electrochemical neurons, organic electrochemical synapses, and their integrated devices. Particular emphasis is placed on their ability to perform neuromorphic functions and diverse applications in neuromorphic computing and flexible biointerfaces. Conclusions, remaining challenges, and future prospects for the development of OECT‐based neuromorphic devices are finally outlined.
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