Artificial Visual Perception Nervous System Based on Low-Dimensional Material Photoelectric Memristors.

Humans Neural Networks, Computer Artificial Intelligence Synapses Neurons / physiology Visual Perception
driverless automobile low-dimensional material photovoltaic memristor threshold-switching memristor visual perception nervous system

Journal

ACS nano
ISSN: 1936-086X
Titre abrégé: ACS Nano
Pays: United States
ID NLM: 101313589

Informations de publication

Date de publication:
23 Nov 2021
Historique:
pubmed: 21 9 2021
medline: 11 11 2022
entrez: 20 9 2021
Statut: ppublish

Résumé

The visual perception system is the most important system for human learning since it receives over 80% of the learning information from the outside world. With the exponential growth of artificial intelligence technology, there is a pressing need for high-energy and area-efficiency visual perception systems capable of processing efficiently the received natural information. Currently, memristors with their elaborate dynamics, excellent scalability, and information (

Identifiants

DOI: 10.1021/acsnano.1c04676 PMID: 34541840
pubmed: 34541840
doi: 10.1021/acsnano.1c04676
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

17319-17326

Auteurs

Yifei Pei (Y)

National-Local Joint Engineering Laboratory of New Energy Photovoltaic Devices, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electron and Information Engineering, Hebei University, Baoding 071002, P. R. China.

Lei Yan (L)

National-Local Joint Engineering Laboratory of New Energy Photovoltaic Devices, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electron and Information Engineering, Hebei University, Baoding 071002, P. R. China.

Zuheng Wu (Z)

School of Integrated Circuits, Anhui University, Hefei, Anhui 230601, P. R. China.

Jikai Lu (J)

Key Laboratory of Microelectronic Devices & Integrated Technology, Institute of Microelectronics of Chinese Academy of Sciences, Beijing, 100029, P. R. China.

Jianhui Zhao (J)

National-Local Joint Engineering Laboratory of New Energy Photovoltaic Devices, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electron and Information Engineering, Hebei University, Baoding 071002, P. R. China.

Jingsheng Chen (J)

Department of Materials Science and Engineering, National University of Singapore, Singapore 117576, Singapore.
ORCID: 0000-0003-3188-2803

Qi Liu (Q)

Frontier Institute of Chip and System Fudan University Shanghai 200433, P. R. China.

Xiaobing Yan (X)

National-Local Joint Engineering Laboratory of New Energy Photovoltaic Devices, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electron and Information Engineering, Hebei University, Baoding 071002, P. R. China.
ORCID: 0000-0002-3266-515X

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Artificial Visual Perception Nervous System...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Réseaux neuronaux (ordinateur) › Artificial Visual Perception Nervous System...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Artificial Visual Perception Nervous System...
questionsmedicales.fr › Cellules › Structures cellulaires › Membrane cellulaire › Structures de la membrane cellulaire › Jonctions intercellulaires › Synapses › Artificial Visual Perception Nervous System...
questionsmedicales.fr › Cellules › Neurones › Artificial Visual Perception Nervous System...
questionsmedicales.fr › Phénomènes psychologiques › Processus mentaux › Perception › Perception visuelle › Artificial Visual Perception Nervous System...