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您的检索式：作者名="SHANG Shiming"
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| 1 | Dynamic biaxial tensile-com- pressive strength and failure criterion of plain concrete显示文摘 | SHANG Shiming SONG Yupu | 2013 | Construction and Building Materials2013，40，： | 1 |
| 2 | 前额叶皮质中兴奋性神经元集合编码短期记忆显示文摘文章简介短期记忆(STM)对于动物在一小段时间内保存信息来说至关重要。已经知道,持续性或复发性的神经活动和神经振荡在细胞水平上编码STM。然而,微回路级的编码机制仍然是一个谜。在本文中,我们对行为小鼠进行了双光子成像以监测神经元微回路的活动。 | Yonglu Tian Chaojuan Yang Yaxuan Cui Feng Su Yongjie Wang Yangzhen Wang Peijiang Yuan Shujiang Shang Hao Li Jizong Zhao Desheng Zhu Shiming Tang Peng Cao Yunbo Liu Xunli Wang Liecheng Wang Wenbo Zeng Haifei Jiang Fei Zhao Minhua Luo Wei Xiong 仇子龙 李相尧 张晨 | 2019 | 科学新闻2019，0，2： | 0 |
| 3 | Structural plasticity-based hydrogel optical Willshaw model for one-shot on-the-fly edge learning显示文摘Autonomous one-shot on-the-fly learning copes with the high privacy,small dataset,and in-stream data at the edge.Implementing such learning on digital hardware suffers from the well-known von-Neumann and scaling bottlenecks.The optical neural networks featuring large parallelism,low latency,and high efficiency offer a promising solution.However,ex-situ training of conventional optical networks,where optical path configuration and deep learning model optimization are separated,incurs hardware,energy and time overheads,and defeats the advantages in edge learning.Here,we introduced a bio-inspired material-algorithm co-design to construct a hydrogel-based optical Willshaw model(HOWM),manifesting Hebbian-rule-based structural plasticity for simultaneous optical path configuration and deep learning model optimization thanks to the underlying opto-chemical reactions.We first employed the HOWM as an all optical in-sensor AI processor for one-shot pattern classification,association and denoising.We then leveraged HOWM to function as a ternary content addressable memory(TCAM)of an optical memory augmented neural network(MANN)for one-shot learning the Omniglot dataset.The HOWM empowered one-shot on-the-fly edge learning leads to 1000boost of energy efficiency and 10boost of speed,which paves the way for the next-generation autonomous,efficient,and affordable smart edge systems. | Dingchen Wang Dingyao Liu Yinan Lin Anran Yuan Woyu Zhang Yaping Zhao Shaocong Wang Xi Chen Hegan Chen Yi Zhang Yang Jiang Shuhui Shi Kam Chi Loong Jia Chen Songrui Wei Qing Wang Hongyu Yu Renjing Xu Dashan Shang Han Zhang Shiming Zhang Zhongrui Wang | 2023 | InfoMat2023，5，4： | 0 |
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