Threshold Switching Memristor Modeling for Spiking Neuron Design-Reference-Cited by-同舟云学术

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Threshold Switching Memristor Modeling for Spiking Neuron Design

Published:2024-09 Issue:9 Volume:45 Page:1649-1652
ISSN:0741-3106
Container-title:IEEE Electron Device Letters
language:
Short-container-title:IEEE Electron Device Lett.

Author:

Liu Pengyu¹^ORCID,Song Lekai¹^ORCID,Pun Kong-Pang¹^ORCID,Hu Guohua¹^ORCID

Affiliation:

1. Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China

Funder

Chinese University of Hong Kong

Research Grants Council, Hong Kong

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/55/10648890/10587304.pdf?arnumber=10587304

Reference24 articles.

1. Biologically-Inspired Pulse Signal Processing for Intelligence at the Edge

2. An 82-nW 0.53-pJ/SOP Clock-Free Spiking Neural Network With 40-μs Latency for AIoT Wake-Up Functions Using a Multilevel-Event-Driven Bionic Architecture and Computing-in-Memory Technique

3. Low-Power Neuromorphic Hardware for Signal Processing Applications: A Review of Architectural and System-Level Design Approaches

4. Which Model to Use for Cortical Spiking Neurons?

5. Spiking Neuron Models

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