The optoelectronic synergistic properties based on indium-gallium-zinc oxide neuromorphic transistors.

IF 2.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Zhida Hu, Shun Hu, Minghao Zhang, Wenshuo Wu, Shuangqing Fan, Jie Su
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引用次数: 0

Abstract

Inspired by the human visual perception system, optoelectronic devices have attracted growing interest in advanced machine vision systems. Despite significant advancements in optical sensors, the synergy between optoelectronics remains underdeveloped. In this study, we propose a transistor fabricated via magnetron sputtering of indium-gallium-zinc oxide (In: Ga: Zn = 1:1:1 mol%) that serves as an inhibitory device, simulating key biological synaptic functions through its electrical properties, including excitatory postsynaptic currents and paired-pulse facilitation. Furthermore, by exploiting the intrinsic photoresponse characteristics of IGZO and the short-term and long-term memory behaviors induced by optical stimulation, we simulate synapses modulated by light of varying wavelengths. As a phototransistor, this device successfully simulates complex synaptic behaviors, including Morse code. It also simulates the Mach bands, a phenomenon of lateral inhibition observed in biology. Additionally, the optoelectronic effect of the phototransistor is applied in neural network recognition, achieving a recognition rate of 85.8%.

基于铟镓锌氧化物神经形态晶体管的光电协同性能。
受人类视觉感知系统的启发,光电器件在先进的机器视觉系统中引起了越来越多的兴趣。尽管光学传感器取得了重大进展,但光电子学之间的协同作用仍然不发达。在这项研究中,我们提出了一种通过磁控溅射制备铟镓锌氧化物(In: Ga: Zn = 1:1:1 mol%)的晶体管,该晶体管作为抑制装置,通过其电学特性,包括兴奋性突触后电流和成对脉冲促进,模拟关键的生物突触功能。此外,利用IGZO的固有光响应特性和光刺激引起的短期和长期记忆行为,我们模拟了不同波长光调制的突触。作为一个光电晶体管,该装置成功地模拟了复杂的突触行为,包括摩尔斯电码。它还模拟了马赫带,这是生物学中观察到的一种侧向抑制现象。此外,将光电晶体管的光电效应应用于神经网络识别,识别率达到85.8%。
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来源期刊
Nanotechnology
Nanotechnology 工程技术-材料科学:综合
CiteScore
7.10
自引率
5.70%
发文量
820
审稿时长
2.5 months
期刊介绍: The journal aims to publish papers at the forefront of nanoscale science and technology and especially those of an interdisciplinary nature. Here, nanotechnology is taken to include the ability to individually address, control, and modify structures, materials and devices with nanometre precision, and the synthesis of such structures into systems of micro- and macroscopic dimensions such as MEMS based devices. It encompasses the understanding of the fundamental physics, chemistry, biology and technology of nanometre-scale objects and how such objects can be used in the areas of computation, sensors, nanostructured materials and nano-biotechnology.
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