Low Energy Consumption Photoelectric Memristors with Multi-Level Linear Conductance Modulation in Artificial Visual Systems Application.

IF 36.3 1区 材料科学 Q1 Engineering
Zhenyu Zhou,Zixuan Zhang,Pengfei Li,Zhiyuan Guan,Yuchen Li,Xiaoxu Li,Shan Xu,Jianhui Zhao,Xiaobing Yan
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Abstract

Optical synapses have an ability to perceive and remember visual information, making them expected to provide more intelligent and efficient visual solutions for humans. As a new type of artificial visual sensory devices, photoelectric memristors can fully simulate synaptic performance and have great prospects in the development of biological vision. However, due to the urgent problems of nonlinear conductance and high-energy consumption, its further application in high-precision control scenarios and integration is hindered. In this work, we report an optoelectronic memristor with a structure of TiN/CeO2/ZnO/ITO/Mica, which can achieve minimal energy consumption (187 pJ) at a single pulse (0.5 V, 5 ms). Under the stimulation of continuous pulses, linearity can be achieved up to 99.6%. In addition, the device has a variety of synaptic functions under the combined action of photoelectric, which can be used for advanced vision. By utilizing its typical long-term memory characteristics, we achieved image recognition and long-term memory in a 3 × 3 synaptic array and further achieved female facial feature extraction behavior with an activation rate of over 92%. Moreover, we also use the linear response characteristic of the device to design and implement the night meeting behavior of autonomous vehicles based on the hardware platform. This work highlights the potential of photoelectric memristors for advancing neuromorphic vision systems, offering a new direction for bionic eyes and visual automation technology.
多级线性电导调制的低能耗光电忆阻器在人工视觉系统中的应用。
光学突触具有感知和记忆视觉信息的能力,这使得它们有望为人类提供更智能、更有效的视觉解决方案。光电忆阻器作为一种新型的人工视感器件,能充分模拟突触的性能,在生物视觉的发展中具有广阔的前景。然而,由于电导非线性和高能耗等亟待解决的问题,阻碍了其在高精度控制场景和集成中的进一步应用。在这项工作中,我们报道了一种具有TiN/CeO2/ZnO/ITO/Mica结构的光电忆阻器,它可以在单脉冲(0.5 V, 5 ms)下实现最小的能量消耗(187pj)。在连续脉冲的刺激下,线性度可达99.6%。此外,该装置在光电的共同作用下具有多种突触功能,可用于高级视觉。利用其典型的长时记忆特征,在3 × 3突触阵列中实现了图像识别和长时记忆,进一步实现了激活率超过92%的女性面部特征提取行为。此外,我们还利用该装置的线性响应特性,设计并实现了基于硬件平台的自动驾驶汽车夜会行为。这项工作突出了光电记忆电阻器在推进神经形态视觉系统方面的潜力,为仿生眼和视觉自动化技术提供了新的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nano-Micro Letters
Nano-Micro Letters NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
32.60
自引率
4.90%
发文量
981
审稿时长
1.1 months
期刊介绍: Nano-Micro Letters is a peer-reviewed, international, interdisciplinary, and open-access journal published under the SpringerOpen brand. Nano-Micro Letters focuses on the science, experiments, engineering, technologies, and applications of nano- or microscale structures and systems in various fields such as physics, chemistry, biology, material science, and pharmacy.It also explores the expanding interfaces between these fields. Nano-Micro Letters particularly emphasizes the bottom-up approach in the length scale from nano to micro. This approach is crucial for achieving industrial applications in nanotechnology, as it involves the assembly, modification, and control of nanostructures on a microscale.
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