记忆电阻器
材料科学
计算机科学
神经形态工程学
光电子学
人工智能
人工神经网络
电子工程
工程类
作者
Yong-Hui Lin,Wenxiao Wang,Rongliang Li,Jeonghyun Kim,Chunwei Zhang,Hao Kan,Yang Li
出处
期刊:Nano Energy
[Elsevier BV]
日期:2024-01-08
卷期号:121: 109267-109267
被引量:29
标识
DOI:10.1016/j.nanoen.2024.109267
摘要
The emerging intelligent nanodevices make the artificial visual system a reality. Memristors, as artificial synapses equipped with the advantages of high parallelism and low power consumption, hold considerable promise for developing biological visual systems. In this study, an optoelectronic memristor composed of Ag/CeO2/MoS2/ITO is proposed, which actualizes neural synapse functions such as short/long-term plasticity by adjusting electrical excitation, and short/long-term learning and memory conversion is realized with the assistance of a letter "NANO" pattern of 50 devices. Moreover, light is capable of replacing voltage to induce advanced synaptic functions including short/long-term memory and learning-forgetting-relearning. In particular, the device benefits from the ability to produce significantly distinguishable photoconductive effects for multi-wavelengths (620, 580, and 520 nm) and exhibits memory properties for different wavelengths. A human visual system that is able to sense, memory, and color recognition of the "traffic signal" image is implemented on a 7 × 7 optoelectronic memristor array constructed with multi-wavelength modulation. Finally, an artificial visual system with pain-sensing capability is presented, where the four key features of human visual nociceptors, namely "threshold", "no-adaption", "relaxation" and "nociceptive sensitization". This work provides a strategy to integrate sensing, memory, and visual pain devices for electronic eyes and humanoid robots in the future.
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