人工神经网络
人工神经元
计算机科学
人工智能
制作
纳米技术
材料科学
医学
替代医学
病理
作者
Haoyi Yu,Qiming Zhang,Xi Chen,Haitao Luan,Miṅ Gu
出处
期刊:Advanced photonics
[SPIE - International Society for Optical Engineering]
日期:2022-06-07
卷期号:4 (03)
被引量:10
标识
DOI:10.1117/1.ap.4.3.034002
摘要
The creation of biomimetic neuron interfaces (BNIs) has become imperative for different research fields from neural science to artificial intelligence. BNIs are two-dimensional or three-dimensional (3D) artificial interfaces mimicking the geometrical and functional characteristics of biological neural networks to rebuild, understand, and improve neuronal functions. The study of BNI holds the key for curing neuron disorder diseases and creating innovative artificial neural networks (ANNs). To achieve these goals, 3D direct laser writing (DLW) has proven to be a powerful method for BNI with complex geometries. However, the need for scaled-up, high speed fabrication of BNI demands the integration of DLW techniques with ANNs. ANNs, computing algorithms inspired by biological neurons, have shown their unprecedented ability to improve efficiency in data processing. The integration of ANNs and DLW techniques promises an innovative pathway for efficient fabrication of large-scale BNI and can also inspire the design and optimization of novel BNI for ANNs. This perspective reviews advances in DLW of BNI and discusses the role of ANNs in the design and fabrication of BNI.
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