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Predicting Brain Regions Related to Alzheimer's Disease Based on Global Feature 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2021, 卷号: 15, 页码: 9
作者:  Wang, Qi;  Chen, Siwei;  Wang, He;  Chen, Luzeng;  Sun, Yongan;  Yan, Guiying
收藏  |  浏览/下载：143/0  |  提交时间：2021/10/26
Alzheimer's disease  diffusion tensor imaging  brain structural network  2hop-connectivity  global featurescore  differential network analysis  
"Brain Connectivity Deviates by Sex and Hemisphere in the First Episode of Schizophrenia"A Route to the Genetic Basis of Language and Psychosis? 期刊论文
SCHIZOPHRENIA BULLETIN, 2019, 卷号: 45, 期号: 2, 页码: 484-494
作者:  Wang, Qiang;  Zhang, Jie;  Liu, Zhaowen;  Crow, Tim J.;  Zhang, Kai;  Palaniyappan, Lena;  Li, Mingli;  Zhao, Liansheng;  Li, Xiaojing;  Deng, Wei;  Guo, Wanjun;  Ma, Xiaohong;  Cheng, Wei;  Ma, Liang;  Wan, Lin;  Lu, Guangming;  Liu, Zhening;  Wang, Jijun;  Feng, Jianfeng;  Li, Tao
收藏  |  浏览/下载：231/0  |  提交时间：2020/01/10
resting-state fMRI  whole-brain functional connectivity analysis  sex-effect  lateralization  language  PCDH11XY  sexual selection  
Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, PR China 项目
资助机构: Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, PR China, 2019-
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收藏  |  浏览/下载：78/0  |  提交时间：2020/01/10
Enhanced HMAX model with feedforward feature learning for multiclass categorization 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 卷号: 9, 页码: 14
作者:  Li, Yinlin;  Wu, Wei;  Zhang, Bo;  Li, Fengfu
收藏  |  浏览/下载：148/0  |  提交时间：2018/07/30
HMAX  biologically inspired  feedforward  saliency map  middle level patch learning  feature encoding  multiclass categorization  
Fifty years later: a neurodynamic explanation of Fitts' law 期刊论文
JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2006, 卷号: 3, 期号: 10, 页码: 649-654
作者:  Beamish, Dan;  Bhatti, Shabana Ali;  MacKenzie, I. Scott;  Wu, Jianhong
收藏  |  浏览/下载：95/0  |  提交时间：2018/07/30
Fitts' law  psychomotor delay  motor control  computational neuroscience