Neuro-Mimetic Dynamics of a Ferroelectric FET-Based Spiking Neuron

被引：38

作者：

Fang, Yan ^{[1
]}

Gomez, Jorge ^{[2
]}

Wang, Zheng ^{[1
]}

Datta, Suman ^{[2
]}

Khan, Asif I. ^{[1
]}

Raychowdhury, Arijit ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

[2] Univ Notre Dame, Dept Elect Engn, Notre Dame, IN 46556 USA

来源：

IEEE ELECTRON DEVICE LETTERS | 2019年 / 40卷 / 07期

关键词：

Ferroelectric FET; neuromorphic; firing pattern; biomimetic circuits;

D O I：

10.1109/LED.2019.2914882

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We demonstrate that a ferroelectric field-effect transistor (FeFET)-based spiking neuron is capable of mimicking various spiking and bursting patterns characteristic of cortical neurons. We propose a compact model to describe the dynamical behavior of such FeFET-based spiking neurons. This model captures the current-voltage dynamics of the FeFET and the critical voltages of its hysteretic region. It is aimed at system-level modeling and simulation of biomimetic networks of the FeFET neurons that are ideal for neuromorphic computing.

引用

页码：1213 / 1216

页数：4

共 29 条

[11] Hybrid CMOS-Ferroelectric FET-Based Image Sensor With Tunable Dynamic Range
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