An Artificial Neuron Using a Bipolar Electrochemical Metallization Switch and Its Enhanced Spiking Properties through Filament Confinement

Neural networks composed of artificial neurons and synapses mimicking the human nervous system have received much attention because of their promising potential in future computing systems. In particular, spiking neural networks (SNNs), which are faster and more energy‐efficient than conventional ar...

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Veröffentlicht in:	Advanced electronic materials 2021-01, Vol.7 (1), p.n/a
Hauptverfasser:	Kim, Taehyun, Kim, Seung‐Hwan, Park, Jae‐Hyeun, Park, June, Park, Euyjin, Kim, Seung‐Geun, Yu, Hyun‐Yong
Format:	Artikel
Sprache:	eng
Schlagworte:	bipolar threshold switches electrochemical metallization filament confinement neuromorphic computing spiking neurons
Online-Zugang:	Volltext
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