Neuromorphic Gustatory System with Salt-Taste Perception, Information Processing, and Excessive-Intake Warning Capabilities.

artificial sensory neuron artificial synaptic device ion gel perception plasticity

Journal

Nano letters
ISSN: 1530-6992
Titre abrégé: Nano Lett
Pays: United States
ID NLM: 101088070

Informations de publication

Date de publication:
11 01 2023
Historique:
pubmed: 22 12 2022
medline: 13 1 2023
entrez: 21 12 2022
Statut: ppublish

Résumé

Emulation of the process of a biological gustatory system could benefit the reconstruction of sense of taste. Here we demonstrate the first neuromorphic gustatory system that emulates the ability of taste perception, information processing, and excessive-intake warning functions. The system integrates a chitosan-derived ion-gel sensor, SnO

Identifiants

pubmed: 36542842
doi: 10.1021/acs.nanolett.2c02775
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

8-16

Auteurs

Lu Yang (L)

Institute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology, Ministry of Education, Nankai University, Tianjin 300350, China.
Shenzhen Research Institute of Nankai University, Shenzhen 518000, China.

Zixian Wang (Z)

Institute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology, Ministry of Education, Nankai University, Tianjin 300350, China.
Shenzhen Research Institute of Nankai University, Shenzhen 518000, China.

Song Zhang (S)

Institute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology, Ministry of Education, Nankai University, Tianjin 300350, China.
Shenzhen Research Institute of Nankai University, Shenzhen 518000, China.

Yue Li (Y)

Institute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology, Ministry of Education, Nankai University, Tianjin 300350, China.
Shenzhen Research Institute of Nankai University, Shenzhen 518000, China.

Chengpeng Jiang (C)

Institute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology, Ministry of Education, Nankai University, Tianjin 300350, China.
Shenzhen Research Institute of Nankai University, Shenzhen 518000, China.

Lin Sun (L)

Institute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology, Ministry of Education, Nankai University, Tianjin 300350, China.
Shenzhen Research Institute of Nankai University, Shenzhen 518000, China.

Wentao Xu (W)

Institute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology, Ministry of Education, Nankai University, Tianjin 300350, China.
Shenzhen Research Institute of Nankai University, Shenzhen 518000, China.

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Classifications MeSH