Memristor networks for real-time neural activity analysis

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.

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Autores principales: Xiaojian Zhu, Qiwen Wang, Wei D. Lu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/540a4467b1ba426ca2b44bbe7445bba3
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