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CASIA OpenIR
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BrainCog: A spiking neural network based, braininspired cognitive intelligence engine for braininspired AI and brain simulation 期刊论文
Patterns, 2023, 页码: 100789
作者:  Zeng, Yi;  Zhao, Dongcheng;  Zhao, Feifei;  Shen, Guobin;  Dong, Yiting;  Lu, Enmeng;  Zhang, Qian;  Sun, Yinqian;  Liang, Qian;  Zhao, Yuxuan;  Zhao, Zhuoya;  Fang, Hongjian;  Wang, Yuwei;  Li, Yang;  Liu, Xin;  Du, Chengcheng;  Kong, Qingqun;  Zizhe, Ruan;  Weida Bi
Adobe PDF(6608Kb)  |  收藏  |  浏览/下载：17/3  |  提交时间：2024/06/06
Are Conventional SNNs Really Efficient? A Perspective from Network Quantization 会议论文
, Seattle WA, USA, 2024-06-20
作者:  Shen, Guobin;  Zhao, Dongcheng;  Li, Tenglong;  Li, Jindong;  Zeng, Yi
Adobe PDF(587Kb)  |  收藏  |  浏览/下载：32/9  |  提交时间：2024/06/05
FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization 期刊论文
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023, 页码: 1178 - 1191
作者:  Li, Jindong;  Shen, Guobin;  Zhao, Dongcheng;  Zhang, Qian;  Zeng, Yi
Adobe PDF(5840Kb)  |  收藏  |  浏览/下载：21/2  |  提交时间：2024/06/05
MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks 期刊论文
Neural Computing and Applications, 2024, 页码: 8531–8547
作者:  He, Xiang;  Li, Yang;  Zhao, Dongcheng;  Kong, Qingqun;  Zeng, Yi
Adobe PDF(2459Kb)  |  收藏  |  浏览/下载：24/9  |  提交时间：2024/06/05
FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network With a Spatiotemporal FPGA Accelerator 期刊论文
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024, 页码: 1-1
作者:  Li, Jindong;  Shen, Guobin;  Zhao, Dongcheng;  Zhang, Qian;  Zeng, Yi
Adobe PDF(1738Kb)  |  收藏  |  浏览/下载：22/10  |  提交时间：2024/06/05
BSNN: Towards faster and better conversion of artificial neural networks to spiking neural networks with bistable neurons 期刊论文
Frontiers in Neuroscience, 2022, 卷号: 16, 页码: 13
作者:  Li, Yang;  Zhao, Dongcheng;  Zeng, Yi
Adobe PDF(3930Kb)  |  收藏  |  浏览/下载：253/4  |  提交时间：2022/11/21
spiking neural network  bistability  neuromorphic computing  image classification  conversion