Artificial Neurons Using Ag−In−Zn−S/Sericin Peptide‐Based Threshold Switching Memristors for Spiking Neural Networks

Abstract Memristive devices with threshold switching characteristics can be effectively utilized to mimic biological neurons acting as one of the key building blocks for constructing advanced hardware neural networks. In this work, the emulation of leaky integrate‐and‐fire memristive neuron is reali...

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Autores principales:	Nan He, Jie Yan, Zhining Zhang, Haiming Qin, Ertao Hu, Xinpeng Wang, Hao Zhang, Pu Chen, Feng Xu, Yang Sheng, Lei Zhang, Yi Tong
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Wiley-VCH 2023-12-01
Colección:	Advanced Electronic Materials
Materias:	Ag−In−Zn−S quantum dot memristors silk sericin spiking neurons threshold switching
Acceso en línea:	https://doi.org/10.1002/aelm.202300467
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