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title={Memristor multiport readout: A closed-form solution for sneak paths},
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title={New Twin Crossbar Architecture of Binary Memristors for Low-Power Image Recognition With Discrete Cosine Transform},
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@inproceedings{zhang2015memristor,
title={A Memristor-Crossbar/CMOS Integrated Network for Pattern Classification and Recognition},
author={Zhang, L and Chang, ZJ},
booktitle={International Conference on Computer Information Systems and Industrial Applications},
year={2015},
organization={Atlantis Press}
}
@article{truong2015new,
title={New Twin Crossbar Architecture of Binary Memristors for Low-Power Image Recognition With Discrete Cosine Transform},
author={Truong, Son Ngoc and et al.},
journal={Nanotechnology, IEEE Transactions on},
volume={14},
number={6},
pages={1104--1111},
year={2015},
publisher={IEEE}
}
@inproceedings{zamanidoost2015manhattan,
title={Manhattan rule training for memristive crossbar circuit pattern classifiers},
author={Zamanidoost, Elham and and et al.},
booktitle={Intelligent Signal Processing (WISP), 2015 IEEE 9th International Symposium on},
pages={1--6},
year={2015},
organization={IEEE}
}
@inproceedings{bennett2015supervised,
title={Supervised learning with organic memristor devices and prospects for neural crossbar arrays},
author={Bennett, Christopher H and et al.},
booktitle={Nanoscale Architectures (NANOARCH), 2015 IEEE/ACM International Symposium on},
pages={181--186},
year={2015},
organization={IEEE}
}
@article{yu2018neuro,
title={Neuro-Inspired Computing With Emerging Nonvolatile Memorys},
author={Yu, Shimeng},
journal={Proceedings of the IEEE},
volume={106},
number={2},
pages={260--285},
year={2018},
publisher={IEEE}
}
@article{hu2014memristor,
title={Memristor crossbar-based neuromorphic computing system: A case study},
author={Hu, Miao and Li, Hai and Chen, Yiran and Wu, Qing and Rose, Garrett S and Linderman, Richard W},
journal={Neural Networks and Learning Systems, IEEE Transactions on},
volume={25},
number={10},
pages={1864--1878},
year={2014},
publisher={IEEE}
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% Encoding: UTF-8
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