神经形态工程学
材料科学
纳米技术
生物医学工程
仿生材料
自然(考古学)
计算机科学
工程类
人工神经网络
人工智能
考古
历史
作者
Yanfei Zhao,Seungbeom Lee,Tingyu Long,Hea‐Lim Park,Tae‐Woo Lee
出处
期刊:Biomaterials
[Elsevier]
日期:2024-10-03
卷期号:314: 122861-122861
标识
DOI:10.1016/j.biomaterials.2024.122861
摘要
Neuromorphic electronics use neural models in hardware to emulate brain-like behavior, and provide power-efficient, extremely compact, and massively-parallel processing, so they are ideal candidates for next-generation information-processing units. However, traditional rigid neuromorphic devices are limited by their unavoidable mechanical and geometrical mismatch with human tissues or organs. At the same time, the rapid development of these electronic devices has generated a large amount of electronic waste, thereby causing severe ecological problems. Natural biomaterials have mechanical properties compatible with biological tissues, and are environmentally benign, ultra-thin, and lightweight, so use of these materials can address these limitations and be used to create next-generation sustainable flexible neuromorphic electronics. Here, we explore the advantages of natural biomaterials in simulating synaptic behavior of sustainable neuromorphic devices. We present the flexibility, biocompatibility, and biodegradability of these neuromorphic devices, and consider the potential applicability of these properties in wearable and implantable bioelectronics. Finally, we consider the challenges of device fabrication and neuromorphic system integration by natural biomaterials, then suggest future research directions.
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