中国科学院计算技术研究所机构知识库

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	Brain-Inspired Efficient Pruning: Exploiting Criticality in Spiking Neural Networks 期刊论文 CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2025, 卷号: 37, 期号: 27-28, 页码: 13 作者:  Chen, Shuo;  Liu, Zeshi;  You, Haihang 收藏  |  浏览/下载：2/0  |  提交时间：2026/05/25 brain-inspired computing  network pruning  spiking neural network
	Toward Superconducting Neuromorphic Computing Using Single-Flux-Quantum Circuits 期刊论文 IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2025, 卷号: 35, 期号: 3, 页码: 14 作者:  Liu, Zeshi;  Chen, Shuo;  Qu, Peiyao;  Tang, Guangming;  You, Haihang 收藏  |  浏览/下载：59/0  |  提交时间：2025/06/25 Circuits  Superconducting transmission lines  Superconducting logic circuits  Superconducting integrated circuits  Neuromorphic engineering  Neurons  Computational modeling  Integrated circuit modeling  Artificial intelligence  Logic  Neuromorphic computing  single-flux-quantum (SFQ)  spiking neural network (SNN)  superconducting computing  superconducting integrated circuit