A Universal Configuration Framework for Mem-Element-Emulator-Based Bionic Firing Circuits-Reference-Cited by-同舟云学术

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A Universal Configuration Framework for Mem-Element-Emulator-Based Bionic Firing Circuits

Published:2024-09 Issue:9 Volume:71 Page:4120-4130
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Xu Quan¹^ORCID,Ding Xincheng¹,Chen Bei¹^ORCID,Parastesh Fatemeh²,Ho-Ching Iu Herbert³^ORCID,Wang Ning¹^ORCID

Affiliation:

1. School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China

2. Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai, Tamil Nadu, India

3. School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, Perth, WA, Australia

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province, China

Scientific Research Foundation of Jiangsu Provincial Education Department, China

Project 333 of Jiangsu Province

Postgraduate Research and Practice Innovation Program of Jiangsu Province, China

Centre for Nonlinear Systems, Chennai Institute of Technology, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8919/10654306/10606058.pdf?arnumber=10606058

Reference48 articles.

1. Neural Bursting and Synchronization Emulated by Neural Networks and Circuits

2. A quantitative description of membrane current and its application to conduction and excitation in nerve

3. A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks

4. Modeling and Evaluation of Vesicle Release Mechanisms in Neuro-Spike Communication

5. A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware

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