首页> 外文期刊>Journal of Alloys and Compounds: An Interdisciplinary Journal of Materials Science and Solid-state Chemistry and Physics >Solution-processed oxide semiconductor-based artificial optoelectronic synapse array for spatiotemporal synaptic integration
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Solution-processed oxide semiconductor-based artificial optoelectronic synapse array for spatiotemporal synaptic integration

机译:用于加工氧化物基于氧化物半导体的人工光电突触阵列,用于时空突触集成

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Optoelectronic neuromorphic systems mimicking the structure and the signal processing of biological neural systems have gained significant interest due to their potential advantages such as high computing speed, high bandwidth, parallel processing, and low power requirements. Here, we demonstrate an optoelectronic synapse array consisting of solution-processed indium-gallium-zinc-oxide (IGZO) synapse devices emulating complex neural functions such as the spatiotemporal synaptic integration for neuromorphic implementation. Particularly, we adopted a vertically stacked metal-insulator-semiconductormetal structure for IGZO synapse device to enable efficient light-induced conductance update and a low-voltage operation typically below 3 V. Using light as the stimulation, versatile synaptic functions including short-term memory/long-term memory, symmetric spike-timing dependent plasticity, and spike-number dependent plasticity were mimicked. In addition, we obtained a high recognition accuracy of handwritten digit images up to 89.4% by implementing ADAM training algorithm. Furthermore, using a crossbar structure 3 x 3 IGZO synapse array, the emulation of spatiotemporal summation was successfully carried out which is believed to be responsible for the neural encoding and the auditory recognition processes occur in the brain. (C) 2020 Elsevier B.V. All rights reserved.
机译:模拟生物神经系统的结构和信号处理的光电神经形态系统由于其潜在的优势,如高计算速度、高带宽、并行处理和低功耗要求,已经引起了人们的极大兴趣。在这里,我们展示了一个光电突触阵列,由溶液处理的氧化铟镓锌(IGZO)突触装置组成,模拟复杂的神经功能,如时空突触整合,用于神经形态实现。特别是,我们为IGZO突触装置采用了垂直堆叠的金属-绝缘体-半导体结构,以实现有效的光诱导电导更新和通常低于3 V的低电压操作。使用光作为刺激,多种突触功能包括短期记忆/长期记忆、对称尖峰时间依赖性可塑性,模拟了棘突数依赖的可塑性。此外,通过实现ADAM训练算法,我们对手写数字图像的识别准确率高达89.4%。此外,使用交叉杆结构3 x 3 IGZO突触阵列,成功地进行了时空求和的模拟,这被认为是神经编码和听觉识别过程在大脑中发生的原因。(C) 2020爱思唯尔B.V.版权所有。

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