Integrate-and-Fire Neuron With Li-Based Electrochemical Random Access Memory Using Native Linear Current Integration Characteristics-Reference-Cited by-同舟云学术

Integrate-and-Fire Neuron With Li-Based Electrochemical Random Access Memory Using Native Linear Current Integration Characteristics

Published:2022-09 Issue:9 Volume:69 Page:4889-4893
ISSN:0018-9383
Container-title:IEEE Transactions on Electron Devices
language:
Short-container-title:IEEE Trans. Electron Devices

Author:

Lee Donguk¹^ORCID,Lee Jongwon¹^ORCID,Lee Chuljun¹^ORCID,Kim Seyoung²^ORCID,Hwang Hyunsang¹^ORCID

Affiliation:

1. Department of Materials Science and Engineering, Center for Single Atom-based Semiconductor Device, Pohang University of Science and Technology, Pohang, Republic of Korea

2. Department of Materials Science and Engineering, Pohang University of Science and Technology, Pohang, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Link

http://xplorestaging.ieee.org/ielx7/16/9864631/09828492.pdf?arnumber=9828492

Reference33 articles.

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4. Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition

5. Neuromorphic Silicon Neuron Circuits

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