神经形态工程学
材料科学
光电子学
突触重量
兴奋性突触后电位
长时程增强
计算机科学
神经科学
化学
人工神经网络
人工智能
生物化学
受体
抑制性突触后电位
生物
作者
Jieru Song,Jialin Meng,Lu Chen,Tianyu Wang,Hao Zhu,Qingqing Sun,David Wei Zhang,Lin Chen
标识
DOI:10.1109/led.2023.3335628
摘要
Photoelectric synaptic devices have exhibited remarkable potential in the field of neuromorphic computing (NC), facilitating high-speed and energy-efficient neuromorphic operations. Here, we explored the application of Indium-Gallium-Zinc-Oxide (IGZO) in two-terminal artificial synaptic devices for NC. The dielectric layer of the device, comprising an oxygen-rich layer and an oxygen-poor layer, effectively harnessed the migration of oxygen vacancies at their interface to exhibit memristive properties. The device emulated synaptic characteristics successfully under both electrical and optical stimuli, including excitatory post-synaptic current (EPSC), paired-pulse facilitation (PPF), long-term potentiation (LTP), and long-term depression (LTD). Furthermore, the recognition of handwritten digits was realized based on the synaptic weight resulting from light pulse stimulation, and the recognition rate was up to 92.6%. The results illustrated the advanced potential of IGZO-based memristors in NC.
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