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231225s2022 xx |||||o 00| ||eng c |
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|a 10.1002/adma.202101895
|2 doi
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|a pubmed24n1089.xml
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|a (DE-627)NLM326931171
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|a (NLM)34145646
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Bian, Hongyu
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Multimodal Tuning of Synaptic Plasticity Using Persistent Luminescent Memitters
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|c 2022
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 24.06.2022
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|a Date Revised 24.06.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2021 Wiley-VCH GmbH.
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|a Mimicking memory processes, including encoding, storing, and retrieving information, is critical for neuromorphic computing and artificial intelligence. Synaptic behavior simulations through electronic, magnetic, or photonic devices based on metal oxides, 2D materials, molecular complex and phase change materials, represent important strategies for performing computational tasks with enhanced power efficiency. Here, a special class of memristive materials based on persistent luminescent memitters (termed as a portmanteau of "memory" and "emitter") with optical characteristics closely resembling those of biological synapses is reported. The memory process and synaptic plasticity can be successfully emulated using such memitters under precisely controlled excitation frequency, wavelength, pulse number, and power density. The experimental and theoretical data suggest that electron-coupled trap nucleation and propagation through clustering in persistent luminescent memitters can explain experience-dependent plasticity. The use of persistent luminescent memitters for multichannel image memorization that allows direct visualization of subtle changes in luminescence intensity and realization of short-term and long-term memory is also demonstrated. These findings may promote the discovery of new functional materials as artificial synapses and enhance the understanding of memory mechanisms
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|a Journal Article
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|a image memorization
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|a persistent luminescence
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|a photonic memory
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|a synaptic plasticity
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|a Oxides
|2 NLM
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| 700 |
1 |
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|a Qin, Xian
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wu, Yiming
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Yi, Zhigao
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Liu, Sirui
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Yu
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Brites, Carlos D S
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Carlos, Luís D
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Liu, Xiaogang
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Advanced materials (Deerfield Beach, Fla.)
|d 1998
|g 34(2022), 25 vom: 15. Juni, Seite e2101895
|w (DE-627)NLM098206397
|x 1521-4095
|7 nnns
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| 773 |
1 |
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|g volume:34
|g year:2022
|g number:25
|g day:15
|g month:06
|g pages:e2101895
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|u http://dx.doi.org/10.1002/adma.202101895
|3 Volltext
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