Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
Designing efficient neuromorphic systems for complex temporal tasks remains a challenge. Zhong et al. develop a parallel memristor-based reservoir computing system capable of tuning critical parameters, achieving classification accuracy of 99.6% in spoken-digit recognition and time-series prediction...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-20692-1 |