InGaZnO-based photoelectric synaptic devices for neuromorphic computing  

作　　者：Jieru Song Jialin Meng Tianyu Wang Changjin Wan Hao Zhu Qingqing Sun David Wei Zhang Lin Chen 

机构地区：[1]School of Microelectronics,State Key Laboratory of Integrated Chips and Systems,Fudan University,Shanghai 200433,China [2]School of Integrated Circuits,Shandong University,Jinan 250100,China [3]National Integrated Circuit Innovation Center,Shanghai 201203,China [4]School of Electronic Science and Engineering,Nanjing University,Nanjing 210023,China [5]Jiashan Fudan Institute,Jiashan 314102,China

出　　处：《Journal of Semiconductors》2024年第9期42-47,共6页半导体学报（英文版）

基　　金：supported by the National Key Research and Development Program of China (2021YFA1202600);the NSFC (92064009, 22175042);the Science and Technology Commission of Shanghai Municipality (22501100900);the China Postdoctoral Science Foundation (2022TQ0068, 2023M740644);the Shanghai Sailing Program (23YF1402200, 23YF1402400);the Qilu Young Scholar Program of Shandong University。

摘　　要：Photoelectric synaptic devices could emulate synaptic behaviors utilizing photoelectric effects and offer promising prospects with their high-speed operation and low crosstalk. In this study, we introduced a novel InGaZnO-based photoelectric memristor. Under both electrical and optical stimulation, the device successfully emulated synaptic characteristics including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), long-term potentiation (LTP), and long-term depression (LTD). Furthermore, we demonstrated the practical application of our synaptic devices through the recognition of handwritten digits. The devices have successfully shown their ability to modulate synaptic weights effectively through light pulse stimulation, resulting in a recognition accuracy of up to 93.4%. The results illustrated the potential of IGZO-based memristors in neuromorphic computing, particularly their ability to simulate synaptic functionalities and contribute to image recognition tasks.

关 键 词：INGAZNO artificial synapse neuromorphic computing photoelectric memristor 

分 类 号：TN60[电子电信—电路与系统]