Silk Protein Based Volatile Threshold Switching Memristors for Neuromorphic Computing

Silk Protein Based Volatile Threshold Switching Memristors for Neuromorphic Computing

Abstract Memristors based neuromorphic devices can efficiently process complex information and fundamentally overcome the bottleneck of traditional computing based on von Neumann architecture. Meanwhile, natural biomaterials have attracted significant attention for biologically integrated electronic...

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Bibliographic Details
Main Authors: Momo Zhao, Saisai Wang, Dingwei Li, Rui Wang, Fanfan Li, Mengqi Wu, Kun Liang, Huihui Ren, Xiaorui Zheng, Chengchen Guo, Xiaohua Ma, Bowen Zhu, Hong Wang, Yue Hao
Format: Article
Language:English
Published: Wiley-VCH 2022-04-01
Series:Advanced Electronic Materials
Subjects:
bioelectronics
leaky integrate‐and‐fire neuron
neuromorphic computing
silk protein
threshold switching
Online Access:https://doi.org/10.1002/aelm.202101139

Internet

https://doi.org/10.1002/aelm.202101139

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