Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Short-term synaptic plasticity in emerging devices for neuromorphic computing
por: Li, Chao, et al.
Publicado: (2023) -
Transformation of threshold volatile switching to quantum point contact originated nonvolatile switching in graphene interface controlled memory devices
por: Wu, Zuheng, et al.
Publicado: (2019) -
Neuromorphic Analog Implementation of Neural Engineering Framework-Inspired Spiking Neuron for High-Dimensional Representation
por: Hazan, Avi, et al.
Publicado: (2021) -
Parylene Based Memristive Devices with Multilevel Resistive Switching for Neuromorphic Applications
por: Minnekhanov, Anton A., et al.
Publicado: (2019) -
Neuromorphic Atomic Switch Networks
por: Avizienis, Audrius V., et al.
Publicado: (2012)