材料科学
突触可塑性
变质塑性
计算机科学
突触
纳米技术
人工神经网络
神经科学
人工智能
生物
生物化学
受体
作者
Sijie Zheng,Zhong‐Da Zhang,Xiaowei Wang,Xiuyang Zou,Ziyang Liu,Qingning Li,Ya‐Nan Zhong,Sui‐Dong Wang,Feng Yan
标识
DOI:10.1002/adma.202505312
摘要
An organic heterostructure, composed of an ionoelastomer that comprises polycationic chains and mobile anions, and a semiconducting polymer, forms a new class of artificial synapses. These ionoelastomer synapses update their synaptic weights by modifying device conductance through the spatial redistribution of anions in response to electrical stimuli. The memory effect of these synapses is highly dependent on the specific anion species present, providing a unique means to modulate synaptic plasticity simply through anion selection. The continuously programmable and nonvolatile states of the selected ionoelastomer synapse are harnessed to emulate a soft neural network and perform the handwritten digit and fashion image recognition tasks, which achieve high recognition accuracies comparable to ideal numeric model but only using 16 discrete device states.
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