人工神经网络
计算机科学
分割
编码(内存)
紫外线
感觉系统
Spike(软件开发)
脉搏(音乐)
模式识别(心理学)
卷积神经网络
人工智能
尖峰神经网络
生物神经网络
神经科学
生物系统
深度学习
作者
Quantan Wu,Bingjie Dang,Congyan Lu,Guangwei Xu,Guanhua Yang,Jiawei Wang,Xichen Chuai,Nianduan Lu,Geng Di,Hong Wang,Ling Li
出处
期刊:Nano Letters
[American Chemical Society]
日期:2020-10-16
卷期号:20 (11): 8015-8023
被引量:18
标识
DOI:10.1021/acs.nanolett.0c02892
摘要
Drawing inspiration from biology, neuromorphic systems are of great interest in direct interaction and efficient processing of analogue signals in the real world and could be promising for the development of smart sensors. Here, we demonstrate an artificial sensory neuron consisting of an InGaZnO4 (IGZO4)-based optical sensor and NbOx-based oscillation neuron in series, which can simultaneously sense the optical information even beyond the visible light region and encode them into electrical impulses. Such artificial vision sensory neurons can convey visual information in a parallel manner analogous to biological vision systems, and the output spikes can be effectively processed by a pulse coupled neural network, demonstrating the capability of image segmentation out of a complex background. This study could facilitate the construction of artificial visual systems and pave the way for the development of light-driven neurorobotics, bioinspired optoelectronics, and neuromorphic computing.
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