突触可塑性
材料科学
神经科学
钙钛矿(结构)
可塑性
调制(音乐)
方向(向量空间)
生物物理学
化学
心理学
生物
复合材料
结晶学
受体
物理
数学
几何学
生物化学
声学
作者
Sang‐Heon Lee,Min Jong Lee,Hyungju Ahn,Ji‐Sang Park,Seon Joong Kim,Ki-Hyun Lee,Tae Hyuk Kim,Gyeong Min Lee,Kwanpyo Kim,Jae Won Shim
出处
期刊:Small
[Wiley]
日期:2025-06-26
卷期号:21 (34)
被引量:2
标识
DOI:10.1002/smll.202504328
摘要
Bridging the gap between biological synapses and artificial neural networks requires advanced materials that can precisely emulate dynamic properties. Dion-Jacobson (DJ) perovskite artificial synapses offer a novel platform for modulating synaptic plasticity through crystallographic orientation control. Incorporating formamidinium chloride (FACl) into (PDA)(FA)n-1PbnI3n+1 (n = 2-8) (PDA = propane-1,3-diammonium, FA = formamidinium) results in vertically oriented crystallographic structures, which enhance charge transport efficiency and facilitates precise control of synaptic functions. The devices exhibit key synaptic properties, including paired-pulse facilitation (PPF), long-term potentiation (LTP), and long-term depression (LTD), with superior linearity and symmetry in synaptic weight modulation. These characteristics enable high-performance neuromorphic computing, as demonstrated through artificial neural network (ANN) simulations that achieve 94.47% accuracy in pattern recognition. Additionally, modeling second-language learning mechanisms through synaptic plasticity modulation demonstrates the crucial role of early input in memory formation. These findings highlight the potential of DJ perovskite synapses for advanced neuromorphic applications and fundamental studies on synaptic behavior.
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