神经形态工程学
材料科学
异质结
电解质
晶体管
光电子学
纳米技术
人工神经网络
电极
电压
计算机科学
人工智能
电气工程
工程类
物理化学
化学
作者
Minghao Zhang,Yan Wang,Hao Liu,Wenshuo Wu,Guorui Yin,Jie Su
出处
期刊:Nanotechnology
[IOP Publishing]
日期:2025-04-04
卷期号:36 (18): 185705-185705
标识
DOI:10.1088/1361-6528/adc607
摘要
Abstract In recent years, artificial synaptic devices have been developed, with synaptic transistors gated by solid-state electrolytes offering superior stability compared to other devices. This study employed an IO/IGZO heterojunction synaptic transistor gated with LiZrO solid-state electrolyte. The heterojunction improves device mobility and ensures performance stability. A series of biological synaptic calculations are achieved through bilayer formation and electrochemical doping, including the implementation of excitatory postsynaptic currents and paired-pulse promotion under electrical and light stimuli. The visual afterimages phenomenon of the human eye is simulated using light pulses, offering insights into the implementation of visual sensory processing and parallel computation. The artificial neural network constructed in this study can achieve a recognition rate of 94.9%–97.3% on the handwritten digit dataset.
科研通智能强力驱动
Strongly Powered by AbleSci AI