Analysis of dynamic linear and non-linear memristor device models for emerging neuromorphic computing hardware design-Reference-Cited by-同舟云学术

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Analysis of dynamic linear and non-linear memristor device models for emerging neuromorphic computing hardware design

Published:2010-07 Issue: Volume: Page:
ISSN:
Container-title:The 2010 International Joint Conference on Neural Networks (IJCNN)
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Author:

McDonald Nathan R.,Pino Robinson E.,Rozwood Peter J.,Wysocki Bryant T.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5581822/5595732/05596664.pdf?arnumber=5596664

Cited by 10 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. Resistive-RAM-Based In-Memory Computing for Neural Network: A Review;Electronics;2022-11-09

2. A High Efficiency Memristor Array Simulation Model for Memristive Neuromorphic Chip Design;2022 7th International Conference on Integrated Circuits and Microsystems (ICICM);2022-10-28

3. Comparison of Memristor Mathematical Models;2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER);2022-10-14

4. Simulation platform for pattern recognition based on reservoir computing with memristor networks;Scientific Reports;2022-06-14

5. An Efficient PWL Memristor Model With MMSE Parameter Fitting;IEEE Transactions on Electron Devices;2022-03

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