记忆电阻器
锡
人工神经元
构造(python库)
电压
计算机科学
调制(音乐)
神经形态工程学
阈值电压
拓扑(电路)
电子工程
材料科学
光电子学
电气工程
人工神经网络
物理
工程类
人工智能
程序设计语言
冶金
晶体管
声学
作者
Yongzhou Wang,Hui Xu,Wei Wang,Xumeng Zhang,Zuheng Wu,Ran Gu,Qingjiang Li,Qi Liu
出处
期刊:IEEE Electron Device Letters
[Institute of Electrical and Electronics Engineers]
日期:2022-04-01
卷期号:43 (4): 631-634
被引量:22
标识
DOI:10.1109/led.2022.3150034
摘要
Due to their simple structures and high-density integration, Memristors are employed to construct hardware spiking neurons. In this letter, we present a TiN/NbOx/Pt memristor with a tunable threshold for constructing configurable neurons. By applying positive tuning voltages with different compliance currents, the device exhibits multilevel negative threshold voltages. Additionally, by changing the amplitudes/widths of positive tuning pulses, we obtain a quasi-linear modulation of negative threshold voltages. Based on such a device, we construct a leaky integrate-and-fire neuron with configurable curves between the response speed and the excitatory input. These results indicate that our device is suitable to construct a configurable neuron, which is expected to maintain homeostasis and improve the stability of computing systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI