神经形态工程学
人工神经元
人工神经网络
计算机科学
材料科学
尖峰神经网络
光电子学
切换时间
电导
构造(python库)
生物系统
人工智能
物理
凝聚态物理
生物
程序设计语言
作者
Lei Yan,Yifei Pei,Jingjuan Wang,Hui He,Ying Zhao,Xiaoyu Li,Yongxin Wei,Xiaobing Yan
摘要
Threshold switching (TS) devices are finding increasing use in the hardware implementation of neuromorphic network computing. Here, a simple structured Ag/amorphous Si/Pt TS device with a switching ratio of ∼105 is prepared, with turn-on and turn-off speeds as high as ∼20 ns and ∼16 ns, respectively. We use this TS device to construct a leaky integration-and-firing artificial neuron that emulates key biological neuron features like threshold-driven firing, all-or-nothing spiking, refractory period, intensity-modulated frequency response, and conductance-modulated frequency response. These results suggest that Si film-based TS device artificial neurons have significant potential for building high-speed artificial neural networks.
科研通智能强力驱动
Strongly Powered by AbleSci AI