Optimization of Leaky Integrate-and-Fire Neuron Circuits Based on Nanoporous Graphene Memristors-Reference-Cited by-同舟云学术

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Optimization of Leaky Integrate-and-Fire Neuron Circuits Based on Nanoporous Graphene Memristors

Published:2024 Issue: Volume:12 Page:88-95
ISSN:2168-6734
Container-title:IEEE Journal of the Electron Devices Society
language:
Short-container-title:IEEE J. Electron Devices Soc.

Author:

Mohanan Kannan Udaya¹^ORCID,Sattari-Esfahlan Seyed Mehdi²,Cho Eou-Sik¹^ORCID,Kim Chang-Hyun³^ORCID

Affiliation:

1. School of Electronic Engineering, Gachon University, Seongnam, South Korea

2. Institute for Microelectronics, Technical University of Vienna, Vienna, Austria

3. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

Funder

Korea Health Technology Research and Development Project through the Korea Health Industry Development Institute

Ministry of Health & Welfare, South Korea

Korea Institute for Advancement of Technology (KIAT) Grant

Korean Government

Gachon University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6245494/10416702/10391069.pdf?arnumber=10391069

Reference30 articles.

1. Deep learning for AI

2. A Survey of Deep Learning Applications to Autonomous Vehicle Control

3. An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools

4. Large language models generate functional protein sequences across diverse families

5. Applications of machine learning in drug discovery and development

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1. Resistive Switching Devices for Neuromorphic Computing: From Foundations to Chip Level Innovations;Nanomaterials;2024-03-15

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