He Ke, Wang Cong, He Yongli, Su Jiangtao, Chen Xiaodong
Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
Institute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, 59 Nanyang Drive, Singapore 636921, Singapore.
Chem Rev. 2023 Dec 13;123(23):13796-13865. doi: 10.1021/acs.chemrev.3c00527. Epub 2023 Nov 17.
Efforts to design devices emulating complex cognitive abilities and response processes of biological systems have long been a coveted goal. Recent advancements in flexible electronics, mirroring human tissue's mechanical properties, hold significant promise. Artificial neuron devices, hinging on flexible artificial synapses, bioinspired sensors, and actuators, are meticulously engineered to mimic the biological systems. However, this field is in its infancy, requiring substantial groundwork to achieve autonomous systems with intelligent feedback, adaptability, and tangible problem-solving capabilities. This review provides a comprehensive overview of recent advancements in artificial neuron devices. It starts with fundamental principles of artificial synaptic devices and explores artificial sensory systems, integrating artificial synapses and bioinspired sensors to replicate all five human senses. A systematic presentation of artificial nervous systems follows, designed to emulate fundamental human nervous system functions. The review also discusses potential applications and outlines existing challenges, offering insights into future prospects. We aim for this review to illuminate the burgeoning field of artificial neuron devices, inspiring further innovation in this captivating area of research.
设计能够模拟生物系统复杂认知能力和反应过程的设备，长期以来一直是一个令人向往的目标。柔性电子学的最新进展，反映了人体组织的机械特性，具有重大的前景。基于柔性人工突触、仿生传感器和致动器的人工神经元设备，经过精心设计以模仿生物系统。然而，这个领域尚处于起步阶段，需要大量的基础工作来实现具有智能反馈、适应性和切实解决问题能力的自主系统。本综述全面概述了人工神经元设备的最新进展。它从人工突触设备的基本原理开始，探索人工感觉系统，将人工突触和仿生传感器集成在一起以复制人类的所有五种感官。随后系统地介绍了人工神经系统，旨在模拟人类神经系统的基本功能。该综述还讨论了潜在应用并概述了现有挑战，为未来前景提供了见解。我们希望这篇综述能够照亮人工神经元设备这个新兴领域，激发这一引人入胜的研究领域的进一步创新。
