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一种基于氧化锌纳米线的用于神经形态计算的低成本柔性光电突触。

A Low-Cost Flexible Optoelectronic Synapse Based on ZnO Nanowires for Neuromorphic Computing.

作者信息

Yue Yongqing, Yu Zixia, Li Fangpei, Peng Wenbo, Zhu Quanzhe, He Yongning

机构信息

School of Microelectronics, Xi'an Jiaotong University, Xi'an 710049, China.

The Key Lab of Micro-Nano Electronics and System Integration of Xi'an City, Xi'an 710049, China.

出版信息

Sensors (Basel). 2024 Dec 5;24(23):7788. doi: 10.3390/s24237788.

Abstract

Neuromorphic computing, inspired by the brain, holds significant promise for advancing artificial intelligence. Artificial optoelectronic synapses, which can convert optical signals into electrical signals, play a crucial role in neuromorphic computing. In this study, we successfully fabricated a flexible artificial optoelectronic synapse device based on the ZnO/PDMS structure by utilizing the magnetron sputtering technique to deposit the ZnO film on a flexible substrate. Under UV light illumination, the device exhibits excellent synaptic plasticity, including excitatory postsynaptic current (EPSC), short-term potentiation (STP), and paired-pulse facilitation (PPF). By growing ZnO nanowires, we improved the fabrication processes and further enhanced the synaptic properties of the device, demonstrating long-term potentiation (LTP) and the transition from short-term memory (STM) to long-term memory (LTM). Additionally, the device exhibits outstanding flexibility, maintaining stable synaptic plasticity under bending conditions. This device shows broad application potential in mimicking visual systems and is expected to contribute significantly to the development of neuromorphic computing.

摘要

受大脑启发的神经形态计算在推动人工智能发展方面具有巨大潜力。能够将光信号转换为电信号的人工光电突触在神经形态计算中起着至关重要的作用。在本研究中,我们利用磁控溅射技术在柔性基板上沉积ZnO薄膜,成功制备了基于ZnO/PDMS结构的柔性人工光电突触器件。在紫外光照射下,该器件表现出优异的突触可塑性,包括兴奋性突触后电流(EPSC)、短期增强(STP)和双脉冲易化(PPF)。通过生长ZnO纳米线,我们改进了制备工艺并进一步增强了器件的突触特性,展示了长期增强(LTP)以及从短期记忆(STM)到长期记忆(LTM)的转变。此外,该器件具有出色的柔韧性,在弯曲条件下保持稳定的突触可塑性。该器件在模拟视觉系统方面具有广阔的应用潜力,有望为神经形态计算的发展做出重大贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11f0/11645050/9cba980c22f6/sensors-24-07788-g001.jpg

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