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Investigation of weight updating modes on oxide-based resistive switching memory synapse towards neuromorphic computing applications

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Acknowledgements

This work was supported by the National Science and Technology Major Project of China (Grant No. 2017ZX02301007-001), National Natural Science Foundation of China (Grant Nos. 61922083, 61804167, 61834009, 61904200, 62025406, 61821091), and Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDB44000000).

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Authors and Affiliations

  1. Institute of Microelectronics, Chinese Academy of Sciences, Beijing, 100029, China

    Qingting Ding, Tiancheng Gong, Jie Yu, Xiaoxin Xu, Xiaoyan Li, Hangbing Lv, Jianguo Yang, Qing Luo, Peng Yuan, Feng Zhang & Ming Liu

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Qingting Ding, Tiancheng Gong, Jie Yu, Xiaoxin Xu, Hangbing Lv, Jianguo Yang, Qing Luo, Peng Yuan, Feng Zhang & Ming Liu

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  1. Qingting Ding
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  2. Tiancheng Gong
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  3. Jie Yu
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  10. Feng Zhang
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  11. Ming Liu
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Corresponding author

Correspondence to Hangbing Lv.

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11432_2020_3127_MOESM1_ESM.pdf

Investigation of Weight Updating Modes on Oxide-based Resistive Switching Memory Synapse towards Neuromorphic Computing Application

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Ding, Q., Gong, T., Yu, J. et al. Investigation of weight updating modes on oxide-based resistive switching memory synapse towards neuromorphic computing applications. Sci. China Inf. Sci. 64, 219402 (2021). https://doi.org/10.1007/s11432-020-3127-x

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  • DOI: https://doi.org/10.1007/s11432-020-3127-x

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