A Sunlight-Interference-Immune Artificial Optoelectronic Synaptic Device for Visual Perception and Memory

The artificial photoelectric synaptic devices integrating optical signal response and data processing functions enable the simulation of the human visual system. However, the optical modulation behavior of photoelectronic synaptic devices is susceptible to interference from sunlight background, significantly hindering their applications in optical modulation. To address this issue, a Ni/AlYN/ITO structure for sunlight-interference-free artificial synaptic memristor was designed and fabricated, and the application in photoelectric modulation was demonstrated. Solar-blind ultraviolet light with low background noise and high security is introduced as the optical stimuli signal. Various biological synaptic functions, including short-term and long-term synaptic plasticity, have been successfully simulated under the modulation of optical and electrical signals. Furthermore, it emulates the human visual system's perception and memory functions, exhibiting notable memory retention (over 300 s) and capacity (up to 5.6 times after 5 cycles). Notably, the device's output current remains unaffected by the optical signal interference. This artificial photoelectric synaptic device not only extends the potential for human visual perception in the solar-blind ultraviolet region, but also facilitates the integration of solar-blind optical communication and brain-inspired computing. This advancement is expected to enable information reception, transmission, and processing resistant to visible light interference, thereby creating and boosting applications in secure optical communication.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2024-12-04
DOI
https://doi.org/10.1021/acsami.4c15822
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Sunlight-Interference-Immune Artificial Optoelectronic Synaptic Device for Visual Perception and Memory

Wenwen Lin, Qichang Hu, Xiangzeng Kong, Jiale Huang et al.
2 citations
ACS Applied Materials & Interfaces
Advanced Memory and Neural Computing
0.42
article

A Sunlight-Interference-Immune Artificial Optoelectronic Synaptic Device for Visual Perception and Memory

Wenwen Lin, Qichang Hu, Xiangzeng Kong, Jiale Huang, Yanqiu Zhang, Xiong Chen, Xiaolong Yang, Jun Lin
article en
2 citations

Abstract

The artificial photoelectric synaptic devices integrating optical signal response and data processing functions enable the simulation of the human visual system. However, the optical modulation behavior of photoelectronic synaptic devices is susceptible to interference from sunlight background, significantly hindering their applications in optical modulation. To address this issue, a Ni/AlYN/ITO structure for sunlight-interference-free artificial synaptic memristor was designed and fabricated, and the application in photoelectric modulation was demonstrated. Solar-blind ultraviolet light with low background noise and high security is introduced as the optical stimuli signal. Various biological synaptic functions, including short-term and long-term synaptic plasticity, have been successfully simulated under the modulation of optical and electrical signals. Furthermore, it emulates the human visual system's perception and memory functions, exhibiting notable memory retention (over 300 s) and capacity (up to 5.6 times after 5 cycles). Notably, the device's output current remains unaffected by the optical signal interference. This artificial photoelectric synaptic device not only extends the potential for human visual perception in the solar-blind ultraviolet region, but also facilitates the integration of solar-blind optical communication and brain-inspired computing. This advancement is expected to enable information reception, transmission, and processing resistant to visible light interference, thereby creating and boosting applications in secure optical communication.

ACS Applied Materials & InterfacesVol. 16(50)
Chinese Academy of Sciences (CN), Fujian Jiangxia University (CN), Fujian Institute of Research on the Structure of Matter (CN), Ningbo Institute of Industrial Technology (CN), Fujian Agriculture and Forestry University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Fujian Province, National Key Research and Development Program of China
Openalex Percentile: Top 36%
Advanced Memory and Neural Computing
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.