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脑电情绪识别中跨被试迁移学习方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  李劲鹏
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脑-机接口,情绪识别,深度学习,迁移学习,领域自适应,对抗训练  
Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models 期刊论文
Engineering, 2019, 期号: 0, 页码: 1-8
Authors:  Du Changde;  Li Jinpeng;  Huang Lijie;  He Huiguang
View  |  Adobe PDF(497Kb)  |  Favorite  |  View/Download:58/22  |  Submit date:2019/05/06
Brain Encoding And Decoding  Fmri  Deep Neural Networks  Deep Generative Models  Dual Learning  
Brain Network Studies in Chronic Disorders of Consciousness: Advances and Perspectives 期刊论文
NEUROSCIENCE BULLETIN, 2018, 卷号: 34, 期号: 4, 页码: 592-604
Authors:  Song, Ming;  Zhang, Yujin;  Cui, Yue;  Yang, Yi;  Jiang, Tianzi
View  |  Adobe PDF(688Kb)  |  Favorite  |  View/Download:50/8  |  Submit date:2018/10/10
Disorders Of Consciousness  Neuroimaging  Brain Network  Brainnetome  
View Decomposition and Adversarial for Semantic Segmentation 会议论文
, Nanjing, August, 28-31, 2018
Authors:  He Guan;  Zhaoxiang Zhang
View  |  Adobe PDF(872Kb)  |  Favorite  |  View/Download:73/22  |  Submit date:2018/08/27
View Decomposition  Adversarial  Semantic Segmentation  
Dynamics of cerebral responses to sustained attention performance during one night of sleep deprivation 期刊论文
JOURNAL OF SLEEP RESEARCH, 2018, 卷号: 27, 期号: 2, 页码: 184-196
Authors:  Zhu, Yuanqiang;  Xi, Yibin;  Fei, Ningbo;  Liu, Yuchen;  Zhang, Xinxin;  Liu, Lin;  Xu, Ziliang;  Sun, Jinbo;  Yang, Xuejuan;  Yin, Hong;  Tian, Jie;  Qin, Wei
Favorite  |  View/Download:30/0  |  Submit date:2018/10/10
Sleep Loss  Functional Activation  Vigilance Attention  Complementary Mechanism  
基于历史数据的用户行为预测研究 学位论文
, 北京: 中国科学院研究生院, 2017
Authors:  邱泽宇
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用户行为预测  多因素建模  关联信息  异构图  多时间窗口  
基于生物认知机制的视觉识别模型与算法研究 学位论文
, 北京: 中国科学院研究生院, 2017
Authors:  席铉洋
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生物认知机制  视觉识别  Hmax 模型  层级模型  机器人  
深度学习新模型及其应用研究 学位论文
, 北京: 中国科学院大学, 2017
Authors:  黄岩
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深度学习  
201702动态资讯 其他
2017-02-01
Authors:  Lu N(鲁宁)
View  |  Adobe PDF(828Kb)  |  Favorite  |  View/Download:66/16  |  Submit date:2017/02/17
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls 期刊论文
NEUROIMAGE, 2017, 卷号: 145, 页码: 137-165
Authors:  Arbabshirani, Mohammad R.;  Plis, Sergey;  Sui, Jing;  Calhoun, Vince D.
Adobe PDF(2676Kb)  |  Favorite  |  View/Download:117/4  |  Submit date:2017/02/14
Neuroimaging  Machine Learning  Classification  Brain Disorders  Prediction