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

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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Bibliographic Details
Main Authors: Nan He, Jie Yan, Zhining Zhang, Haiming Qin, Ertao Hu, Xinpeng Wang, Hao Zhang, Pu Chen, Feng Xu, Yang Sheng, Lei Zhang, Yi Tong
Format: Article
Language:English
Published: Wiley-VCH 2023-12-01
Series:Advanced Electronic Materials
Subjects:
Ag−In−Zn−S quantum dot
memristors
silk sericin
spiking neurons
threshold switching
Online Access:https://doi.org/10.1002/aelm.202300467

Internet

https://doi.org/10.1002/aelm.202300467

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