Signal Filtering Enabled by Spike Voltage‐Dependent Plasticity in Metalloporphyrin‐Based Memristors

Neural systems can selectively filter and memorize spatiotemporal information, thus enabling high‐efficient information processing. Emulating such an exquisite biological process in electronic devices is of fundamental importance for developing neuromorphic architectures with efficient in situ edge/...

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Veröffentlicht in:	Advanced materials (Weinheim) 2021-10, Vol.33 (43), p.e2104370-n/a
Hauptverfasser:	Wang, Zhiyong, Wang, Laiyuan, Wu, Yiming, Bian, Linyi, Nagai, Masaru, Jv, Ruolin, Xie, Linghai, Ling, Haifeng, Li, Qi, Bian, Hongyu, Yi, Mingdong, Shi, Naien, Liu, Xiaogang, Huang, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological activity Data processing Electronic devices Filtration Heterojunctions Hybrid systems Ion diffusion Materials science Memristors metalloporphyrin/oxide memristor Neuromorphic computing Oxygen ions Plastic properties Probabilistic inference Signal analysis signal filtering spike voltage‐dependent plasticity Visual signals
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