Indium-Gallium-Zinc-Oxide-Based Photoelectric Neuromorphic Transistors for Spiking Morse Coding
Xinhuang Lin, Haotian Long, Shuo Ke, Yuyuan Wang, Ying Zhu, Chunsheng Chen, Changjin Wan* , and Qing Wan*
School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
Abstract ：The human brain that relies on neural networks communicated by spikes is featured with ultralow energy consumption, which is more robust and adaptive than any digital system. Inspired by the spiking framework of the brain, spike-based neuromorphic systems have recently inspired intensive attention. Therefore, neuromorphic devices with spike-based synaptic functions are considered as the first step toward this aim. Photoelectric neuromorphic devices are promising candidates for spike-based synaptic devices with low latency, broad bandwidth, and superior parallelism. Here, the indium-gallium-zinc-oxide-based photoelectric neuromorphic transistors are fabricated for Morse coding based on spike processing, 405-nm light spikes are used as synaptic inputs, and some essential synaptic plasticity, including excitatory postsynaptic current, short-term plasticity, and high-pass filtering, can be mimicked. More interestingly, Morse codes encoded by light spikes are decoded using our devices and translated into amplitudes. Furthermore, such devices are compatible with standard integrated processes suitable for large-scale integrated neuromorphic systems.
收稿日期: 2022-03-28
Editors' Suggestion
出版日期: 2022-05-29
:
85.60.Dw
(Photodiodes; phototransistors; photoresistors)
78.56.-a
(Photoconduction and photovoltaic effects)
77.55.-g
(Dielectric thin films)
72.20.-i
(Conductivity phenomena in semiconductors and insulators)
引用本文:
. [J]. 中国物理快报, 2022, 39(6): 68501-.
链接本文:
https://cpl.iphy.ac.cn/CN/10.1088/0256-307X/39/6/068501
或
https://cpl.iphy.ac.cn/CN/Y2022/V39/I6/68501
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2022, Vol. 39 
