Memristive Synapse Based on Single‐Crystalline LiNbO₃ Thin Film with Bioinspired Microstructure for Experience‐Based Dynamic Image Mask Generation Article Swipe

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Jiejun Wang , Xinqiang Pan , Wenbo Luo , Yao Shuai , Qin Xie , Jiaqi Xu , Zeqian Song , Chuangui Wu , Wanli Zhang ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1002/aelm.202201064

One of the key steps toward constructing neuromorphic systems is to develop reliable bio‐realistic synaptic devices. Here, memristors based on single‐crystalline LiNbO 3 (SC‐LNO) thin film are fabricated as artificial synapses. A reservoir of oxygen vacancies is induced by Ar + irradiation to resemble synaptic vesicles containing neurotransmitters. Phenomena of saturation and adaptivity, short‐term plasticity, paired‐pulse facilitation, paired‐pulse depression, and long‐term potentiation are successfully mimicked. The dynamic transition from sensory memory to short‐term memory, and further to long‐term memory, is also successfully emulated for multipattern memorization. In addition, first, taking advantage of short‐ and long‐term synaptic plasticity is proposed, to realize experience‐based image mask generation with different stimuli schemes. During the experience‐based generation process, memristive multi‐value masks (MMVMs) are generated with different numbers of stimuli applied to the memristor at each pixel, which corresponds to the times the region occurred in the history image set. The experience‐based memristive multi‐value mask successfully extracts multiple regions of interest with different priorities. This work demonstrates that the memristor based on Ar + ‐irradiated SC‐LNO thin film with bioinspired microstructure shows great potential in future neuromorphic systems for experience‐based intelligent image processing.

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Electronic Engineering

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Neuromorphic engineering Memristor Materials science Pixel Synapse Optoelectronics Nanotechnology Thin film Computer science Artificial neural network Artificial intelligence Electronic engineering Neuroscience Engineering Biology

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Type: article
Language: en
Landing Page: https://doi.org/10.1002/aelm.202201064
OA Status: hybrid
Cited By: 9
References: 62
Related Works: 10
OpenAlex ID: https://openalex.org/W4312106826

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DOI: https://doi.org/10.1002/aelm.202201064

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Title: Memristive Synapse Based on Single‐Crystalline LiNbO₃ Thin Film with Bioinspired Microstructure for Experience‐Based Dynamic Image Mask Generation

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Language: en

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Publication year: 2022

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Publication date: 2022-12-21

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Authors: Jiejun Wang, Xinqiang Pan, Wenbo Luo, Yao Shuai, Qin Xie, Jiaqi Xu, Zeqian Song, Chuangui Wu, Wanli Zhang

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Landing page: https://doi.org/10.1002/aelm.202201064

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Concepts: Neuromorphic engineering, Memristor, Materials science, Pixel, Synapse, Optoelectronics, Nanotechnology, Thin film, Computer science, Artificial neural network, Artificial intelligence, Electronic engineering, Neuroscience, Engineering, Biology

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Cited by: 9

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Memristive Synapse Based on Single‐Crystalline LiNbO3 Thin Film with Bioinspired Microstructure for Experience‐Based Dynamic Image Mask Generation Article Swipe

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Memristive Synapse Based on Single‐Crystalline LiNbO₃ Thin Film with Bioinspired Microstructure for Experience‐Based Dynamic Image Mask Generation Article Swipe