A Novel Characterization and Performance Measurement of Memristor Devices for Synaptic Emulators in Advanced Neuro-Computing.

nanoparticles neuro-computing synaptic and neurons titanium dioxide (TiO2)

Journal

Micromachines
ISSN: 2072-666X
Titre abrégé: Micromachines (Basel)
Pays: Switzerland
ID NLM: 101640903

Informations de publication

Date de publication:
13 Jan 2020
Historique:
received: 05 12 2019
revised: 10 01 2020
accepted: 11 01 2020
entrez: 17 1 2020
pubmed: 17 1 2020
medline: 17 1 2020
Statut: epublish

Résumé

The advanced neuro-computing field requires new memristor devices with great potential as synaptic emulators between pre- and postsynaptic neurons. This paper presents memristor devices with TiO

Identifiants

pubmed: 31941084
pii: mi11010089
doi: 10.3390/mi11010089
pmc: PMC7019485
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Research Foundation of Korea
ID : NRF-2019R1F1A1056937

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Auteurs

AlaaDdin Al-Shidaifat (A)

Department of Nanoscience and Engineering, Centre for Nano Manufacturing, Inje university, Gimhae 50834, Korea.

Shubhro Chakrabartty (S)

Department of Nanoscience and Engineering, Centre for Nano Manufacturing, Inje university, Gimhae 50834, Korea.

Sandeep Kumar (S)

Department of Electronics and Communication Engineering, National Institute of Technology Karnataka, Surathkal, Mangaluru 575025, Karnataka, India.

Suvojit Acharjee (S)

Department of Electronics and Communication Engineering, National Institute of Technology Agartala, Jirania 799046, Tripura, India.

Hanjung Song (H)

Department of Nanoscience and Engineering, Centre for Nano Manufacturing, Inje university, Gimhae 50834, Korea.

Classifications MeSH