神经形态工程学
记忆电阻器
纳米晶
感觉系统
材料科学
纳米技术
理论(学习稳定性)
光电子学
神经科学
计算机科学
人工神经网络
人工智能
电子工程
心理学
工程类
机器学习
作者
Jianhui Zhao,Yunfeng Ran,Yifei Pei,Yiheng Wei,Jiameng Sun,Zixuan Zhang,Jiacheng Wang,Zhenyu Zhou,Zhongrong Wang,Yong Sun,Xiaobing Yan
出处
期刊:Materials horizons
[Royal Society of Chemistry]
日期:2023-01-01
卷期号:10 (10): 4521-4531
被引量:17
摘要
S) to guide the growth of conductive filaments and stabilize the performance of the device. They present stable bipolar threshold switching behavior with a low 120 nW set power, and the operating voltages decreased in light due to photocarrier action. A leaky integrate firing (LIF) neuron has been realized, which achieved key biological neuron functions, such as all-or-nothing spiking, threshold-driven firing, refractory period, and spiking frequency modulation. The LIF neurons receiving optical inputs have the properties of an artificial sensory neuron. It could regulate the spiking output frequency at different light densities, which could be used for a ship approaching a port. This work provides a promising hardware implementation towards constructing high-performance artificial intelligence to assist ships at night in a sensory system.
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