Autor: |
Xiaojian Zhu, Qiwen Wang, Wei D. Lu |
Jazyk: |
angličtina |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020) |
Druh dokumentu: |
article |
ISSN: |
2041-1723 |
DOI: |
10.1038/s41467-020-16261-1 |
Popis: |
Designing energy efficient artificial neural networks for real-time analysis remains a challenge. Here, the authors report the development of a perovskite halide (CsPbI3) memristor-based Reservoir Computing system for real-time recognition of neural firing patterns and neural synchronization states. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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