Artificial Neuron using Vertical MoS
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
10 01 2019
10 01 2019
Historique:
received:
11
06
2018
accepted:
06
11
2018
entrez:
12
1
2019
pubmed:
12
1
2019
medline:
12
1
2019
Statut:
epublish
Résumé
With the ever-increasing demand for low power electronics, neuromorphic computing has garnered huge interest in recent times. Implementing neuromorphic computing in hardware will be a severe boost for applications involving complex processes such as image processing and pattern recognition. Artificial neurons form a critical part in neuromorphic circuits, and have been realized with complex complementary metal-oxide-semiconductor (CMOS) circuitry in the past. Recently, metal-insulator-transition materials have been used to realize artificial neurons. Although memristors have been implemented to realize synaptic behavior, not much work has been reported regarding the neuronal response achieved with these devices. In this work, we use the volatile threshold switching behavior of a vertical-MoS
Identifiants
pubmed: 30631087
doi: 10.1038/s41598-018-35828-z
pii: 10.1038/s41598-018-35828-z
pmc: PMC6328611
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
53Subventions
Organisme : University of Central Florida (UCF)
ID : 20080746
Pays : International
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