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Updated: May 23, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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Published on: March 9, 2019

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神经形态计算使用超级电容器的突触可塑性

Ling Wang1,2,3, Xing Liu1,2, Guangcai Zhang1,2

  • 1School of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|March 24, 2025
PubMed
概括

这项研究引入了一种使用MXene Ti3C2Tx超级电容器的新型神经形态计算途径. 这些设备展示了可调节的突触可塑性,在识别盲文数字方面达到100%的准确性,为节能的人工智能铺平了道路.

关键词:
人工神经网络的人工神经网络布莱尔字识别系统 布莱尔字识别系统衍射深度神经网络是一种射神经网络.神经形态计算是一种神经形态计算.塑性的可塑性 塑性超级电容器是一个超级电容器.

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