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Levodopa Improves Cognitive Function and the Deficits of Structural Synaptic Plasticity in Hippocampus Induced by Global Cerebral Ischemia/Reperfusion Injury in Rats 期刊论文
FRONTIERS IN NEUROSCIENCE, 2020, 卷号: 14, 页码: 16
作者:  Wang, Wenzhu;  Liu, Xu;  Yang, Zhengyi;  Shen, Hui;  Liu, Lixu;  Yu, Yan;  Zhang, Tong
收藏  |  浏览/下载：183/0  |  提交时间：2021/03/02
levodopa  hippocampus  global cerebral ischemia reperfusion injury  structural synaptic plasticity  cognitive function  
Multiparametric MRI Radiomic Model for Preoperative Predicting WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 10
作者:  Li, Qiong;  Liu, Yu-jia;  Dong, Di;  Bai, Xu;  Huang, Qing-bo;  Guo, Ai-tao;  Ye, Hui-yi;  Tian, Jie;  Wang, Hai-yi
收藏  |  浏览/下载：309/0  |  提交时间：2020/06/22
renal cell carcinoma  nuclear grade  radiomic  magnetic resonance imaging  
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Zhiqiang;  Xu, Ting-Bing;  Du, Changde;  Liu, Cheng-Lin;  He, Huiguang
浏览  |  Adobe PDF(4352Kb)  |  收藏  |  浏览/下载：265/62  |  提交时间：2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule 期刊论文
NEURAL NETWORKS, 2020, 卷号: 121, 期号: 2, 页码: 387-395
作者:  Hao, Yunzhe;  Huang, Xuhui;  Dong, Meng;  Xu, Bo
收藏  |  浏览/下载：240/0  |  提交时间：2020/03/30
Spiking neural networks  Dopamine-modulated spike-timing dependent plasticity  Pattern recognition  Supervised learning  Biologically plausibility  
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 151-178
作者:  Han Xu;  Yao Ma;  Hao-Chen Liu;  Debayan Deb;  Hui Liu;  Ji-Liang Tang;  Anil K. Jain
浏览  |  Adobe PDF(2155Kb)  |  收藏  |  浏览/下载：201/57  |  提交时间：2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.