电压
振荡(细胞信号)
足迹
二极管
硅
计算机科学
电气工程
尖峰神经网络
制作
人工神经网络
光电子学
电子工程
材料科学
物理
工程类
化学
人工智能
替代医学
生物
生物化学
病理
医学
古生物学
作者
Jin‐Woo Han,M. Meyyappan
标识
DOI:10.1109/led.2018.2856092
摘要
Spiking neural network has attracted much attention due to its efficient learning and recognition capability. Herein, a leaky integrate-and-fire (LIF) neuron is implemented using conventional silicon fabrication on 4F2 footprint. A vertical n-p-n back-to-back diode with floating p-base region, referred as biristor, functions as the LIF neuron. A static current drive results in closed loop feedback in the biristor, exhibiting output voltage oscillation due to periodic charging and discharging in the floating p-base. The LIF rate linearly increases with the drive current. A spiking frequency of up to a few kHz is verified.
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