Engineering Spiking Neurons Using Threshold Switching Devices for High-Efficient Neuromorphic Computing

Inspired by the human brain, the spike-based neuromorphic system has attracted strong research enthusiasm because of the high energy efficiency and powerful computational capability, in which the spiking neurons and plastic synapses are two fundamental building blocks. Recently, two-terminal thresho...

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Detalles Bibliográficos
Autores principales: Ding, Yanting, Zhang, Yajun, Zhang, Xumeng, Chen, Pei, Zhang, Zefeng, Yang, Yue, Cheng, Lingli, Mu, Chen, Wang, Ming, Xiang, Du, Wu, Guangjian, Zhou, Keji, Yuan, Zhe, Liu, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8766734/
https://www.ncbi.nlm.nih.gov/pubmed/35069102
http://dx.doi.org/10.3389/fnins.2021.786694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8766734/
https://www.ncbi.nlm.nih.gov/pubmed/35069102
http://dx.doi.org/10.3389/fnins.2021.786694

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