A Single Schottky Barrier MOSFET-Based Leaky Integrate and Fire Neuron for Neuromorphic Computing-Reference-Cited by-同舟云学术

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A Single Schottky Barrier MOSFET-Based Leaky Integrate and Fire Neuron for Neuromorphic Computing

Published:2023-11 Issue:11 Volume:70 Page:4018-4022
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Bashir Faisal¹^ORCID,Zahoor Furqan²^ORCID,Alzahrani Ali S.¹^ORCID,Khan Abdul Raouf³^ORCID

Affiliation:

1. Department of Computer Engineering, College of Computer Sciences and Information Technology, King Faisal University, Al-Hasa, Saudi Arabia

2. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

3. Department of Computer Sciences, King Faisal University, Al-Hasa, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8920/10299398/10154147.pdf?arnumber=10154147

Reference21 articles.

1. Energy-Efficient All-Spin BNN Using Voltage-Controlled Spin-Orbit Torque Device for Digit Recognition

2. Experimental Demonstration of Ferroelectric Spiking Neurons for Unsupervised Clustering

3. Vertical InGaAs Biristor for Sub-1 V Operation

4. Ultra-Low Energy LIF Neuron Using Si NIPIN Diode for Spiking Neural Networks

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spiking Neural Network Based on Memory Capacitors and Metal-Oxide Thin-Film Transistors;IEEE Transactions on Circuits and Systems II: Express Briefs;2024-08

2. Utilizing Forward Characteristics of Pocket Doped SiGe Tunnel FET for Designing LIF Neuron Model;Silicon;2024-05-13

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