计算机科学
人工智能
镜像
仿生学
人工生命
人工神经元
领域(数学)
神经假体
适应性
神经科学
人工神经网络
生物
生态学
数学
沟通
社会学
纯数学
作者
Ke He,Cong Wang,Yongli He,Jiangtao Su,Xiaodong Chen
出处
期刊:Chemical Reviews
[American Chemical Society]
日期:2023-11-17
卷期号:123 (23): 13796-13865
被引量:37
标识
DOI:10.1021/acs.chemrev.3c00527
摘要
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.
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