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检索条件"机构=The Henan Key Laboratory of Brain Science and Brain Computer Interface Technology"
932 条 记 录,以下是861-870 订阅
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Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory
arXiv
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arXiv 2023年
作者: Masuyama, Naoki Nojima, Yusuke Toda, Yuichiro Loo, Chu Kiong Ishibuchi, Hisao Kubota, Naoyuki The Graduate School of Informatics Department of Core Informatics Osaka Metropolitan University 1-1 Gakuen-cho Naka-ku Sakai-Shi Osaka599-8531 Japan The Faculty of Environmental Life Natural Science and Technology Okayama University 3-1-1 Tsushima-Naka Kita-ku Okayama Okayamashi700-8530 Japan The Department of Artificial Intelligence Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur50603 Malaysia The Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China Graduate School of Systems Design Department of Mechanical Systems Engineering Tokyo Metropolitan University 6-6 Asahigaoka Hino-Shi Tokyo191-0065 Japan
With the increasing importance of data privacy protection, various privacy-preserving machine learning methods have been proposed. In the clustering domain, various algorithms with a federated learning framework (i.e.... 详细信息
来源: 评论
SamRobNODDI: Q-Space Sampling-Augmented Continuous Representation Learning for Robust and Generalized NODDI
arXiv
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arXiv 2024年
作者: Xiao, Taohui Cheng, Jian Fan, Wenxin Dong, Enqing Zheng, Hairong Wang, Shanshan The School of Mechanical Electrical & Information Engineering Shandong University Weihai264209 China The Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China The School of Computer Science and Engineering Beihang University Beijing100191 China The State Key Laboratory of Cognitive Neuroscience and Learning IDG/McGovern Institute for Brain Research Beijing Normal University Beijing100191 China
Neurite Orientation Dispersion and Density Imaging (NODDI) microstructure estimation from diffusion magnetic resonance imaging (dMRI) is of great significance for the discovery and treatment of various neurological di... 详细信息
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Author Correction: A novel interface for cortical columnar neuromodulation with multipoint infrared neural stimulation
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Nature communications 2024年 第1期15卷 9742页
作者: Feiyan Tian Ying Zhang Kenneth E Schriver Jia Ming Hu Anna Wang Roe Department of Neurosurgery of the Second Affiliated Hospital Interdisciplinary Institute of Neuroscience and Technology School of Medicine Zhejiang University Hangzhou 310029 China. Key Laboratory for Biomedical Engineering of Ministry of Education College of Biomedical Engineering and Instrument Science Zhejiang University Hangzhou 310027 China. MOE Frontier Science Center for Brain Science and Brain-machine Integration School of Brain Science and Brain Medicine Zhejiang University Hangzhou 310012 China. Department of Neurosurgery of the Second Affiliated Hospital Interdisciplinary Institute of Neuroscience and Technology School of Medicine Zhejiang University Hangzhou 310029 China. hujiaming@***. MOE Frontier Science Center for Brain Science and Brain-machine Integration School of Brain Science and Brain Medicine Zhejiang University Hangzhou 310012 China. hujiaming@***. Department of Neurosurgery of the Second Affiliated Hospital Interdisciplinary Institute of Neuroscience and Technology School of Medicine Zhejiang University Hangzhou 310029 China. annawang@***. Key Laboratory for Biomedical Engineering of Ministry of Education College of Biomedical Engineering and Instrument Science Zhejiang University Hangzhou 310027 China. annawang@***. MOE Frontier Science Center for Brain Science and Brain-machine Integration School of Brain Science and Brain Medicine Zhejiang University Hangzhou 310012 China. annawang@***. National Key Laboratory of Brain and Computer Intelligence Zhejiang University Hangzhou 310058 China. annawang@***.
来源: 评论
Improvement of Resting-state EEG Analysis Process with Spectrum Weight-Voting based on LES
arXiv
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arXiv 2017年
作者: Ye, Yumeng Liu, Haichun Zhang, TianHong Pan, Changchun Yang, Genke Wang, JiJun Qiu, Robert C. Key Laboratory of System Control and Information Processing Shanghai Jiaotong University Ministry of Education of China Shanghai200240 China Department of Automation and Shanghai Key Laboratory of Navigation and Location Based Services Shanghai Key Laboratory of Psychotic Disorders Shanghai Mental Health Center Shanghai Jiaotong University School of Medicine Shanghai200030 China Brain Science and Technology Research Center Shanghai Jiao Tong University Shanghai200240 China Shanghai Jiaotong University Shanghai200240 China Department of Electrical Engineering Shanghai Jiaotong University Shanghai200240 China Department of Electrical and Computer Engineering Tennessee Technological University CookevilleTN38505 United States
Electroencephalography is a non-invasive technique for recording brain bioelectric activity, which has potential applications in various fields such as human-computer interaction and neuroscience. Among them, analysis... 详细信息
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Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder
Aberrant Functional Network Connectivity Transition Probabil...
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
作者: Elaheh Zendehrouh Mohammad. S. E. Sendi Jing Sui Zening Fu Dongmei Zhi Luxian Lv Xiaohong Ma Qing Ke Xianbin Li Chuanyue Wang Christopher. C. Abbott Jessica A. Turner Robyn. L Miller Vince D. Calhoun Department of Computer Science Georgia State University Atlanta Georgia Department of Biomedical Engineering Georgia Institute of Technology and Emory University Atlanta Georgia Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University Georgia Institute of Technology Emory University Atlanta Georgia Brainnetome Center and National Laboratory of Pattern Recognition Beijing China and University of Chinese Academy of Sciences Beijing China Psychiatric Laboratory and Mental Health Center the State Key Laboratory of Biotherapy West China Hospital of Sichuan University Chengdu China Huaxi Brain Research Center West China Hospital of Sichuan University Chengdu China Beijing Key Lab of Mental Disorders Capital Medical University Beijing China Department of Psychiatry University of New Mexico Albuquerque New Mexico
Major depressive disorder (MDD) is a common and serious mental disorder characterized by a persistent negative feeling and tremendous sadness. In recent decades, several studies used functional network connectivity (F... 详细信息
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Applications of Game Theory in Vehicular Networks: A Survey
arXiv
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arXiv 2021年
作者: Sun, Zemin Liu, Yanheng Wang, Jian Li, Guofa Anil, Carie Li, Keqiang Guo, Xinyu Sun, Geng Tian, Daxin Cao, Dongpu College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China Institute of Human Factors and Ergonomics College of Mechatronics and Control Engineering Shenzhen University Guangdong Shenzhen518060 China School of Computer Science and Engineering VIT-AP Andhra Pradesh Amaravati522237 India College of Engineering Nanjing Agricultural University Nanjing210031 China State Key Laboratory of Automotive Safety and Energy Department of Automotive Engineering Tsinghua University Beijing100084 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University Beijing100191 China Waterloo Cognitive Autonomous Driving Lab University of Waterloo N2L 3G1 Canada
In the Internet of things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming vehicular networks (VNs) that provide efficient and safe traffic and ... 详细信息
来源: 评论
Advancing Chinese biomedical text mining with community challenges
arXiv
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arXiv 2024年
作者: Zong, Hui Wu, Rongrong Cha, Jiaxue Feng, Weizhe Wu, Erman Li, Jiakun Shao, Aibin Tao, Liang Li, Zuofeng Tang, Buzhou Shen, Bairong Joint Laboratory of Artificial Intelligence for Critical Care Medicine Department of Critical Care Medicine Institutes for Systems Genetics Frontiers Science Center for Disease-related Molecular Network West China Hospital Sichuan University Chengdu610041 China Shanghai Key Laboratory of Signaling and Disease Research Laboratory of Receptor-Based Bio-Medicine Collaborative Innovation Center for Brain Science School of Life Sciences and Technology Tongji University Shanghai200092 China Department of Urology West China Hospital Sichuan University Chengdu610041 China Faculty of Business Information Shanghai Business School Shanghai201400 China Takeda Co. Ltd. Shanghai200040 China Department of Computer Science Harbin Institute of Technology Shenzhen518055 China
Objective: This study aims to review the recent advances in community challenges for biomedical text mining in China. Methods: We collected information of evaluation tasks released in community challenges of biomedica... 详细信息
来源: 评论
Transferring knowledge distillation for multilingual social event detection
arXiv
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arXiv 2021年
作者: Ren, Jiaqian Peng, Hao Jiang, Lei Wu, Jia Tong, Yongxin Wang, Lihong Bai, Xu Wang, Bo Yang, Qiang Institute of Information Engineering Chinese Academy of Sciences The School of Cyber Security University of Chinese Academy of Sciences Beijing100041 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100083 China The School of Cyber Science and Technology Beihang University Beijing100083 China Institute of Information Engineering Chinese Academy of Sciences Beijing100041 China The Department of Computing Macquarie University Sydney Australia The State Key Laboratory of Software Development Environment The School of Computer Science and Engineering Beihang University Beijing100083 China The National Computer Network Emergency Response Technical Team Coordination Center of China Beijing100029 China The Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong AI Group WeBank Co. Ltd. China
Recently published graph neural networks (GNNs) show promising performance at social event detection tasks. However, most studies are oriented toward monolingual data in languages with abundant training samples. This ... 详细信息
来源: 评论
A Data Driven Approach for Resting-state EEG signal Classificition of Schizophrenia with Control Participants Using Random Matrix Theory
arXiv
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arXiv 2017年
作者: Liu, Haichun Zhang, TianHong Ye, Yumeng Pan, Changchun Yang, Genke Wang, JiJun Qiu, Robert C. Key Laboratory of System Control and Information Processing Shanghai Jiaotong University Ministry of Education of China Shanghai200240 China Department of Automation Shanghai Jiaotong University Shanghai200240 China Shanghai Key Laboratory of Psychotic Disorders Shanghai Mental Health Center Shanghai Jiaotong University School of Medicine Shanghai200030 China Brain Science and Technology Research Center Shanghai Jiao Tong University Shanghai200240 China Department of Electrical Engineering Shanghai Jiaotong University Shanghai200240 China Department of Electrical and Computer Engineering Tennessee Technological University CookevilleTN38505 United States
Resting state electroencephalogram (EEG) abnormalities in clinically high-risk individuals (CHR), clinically stable first-episode patients with schizophrenia (FES), healthy controls (HC) suggest alterations in neural ... 详细信息
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Predicting extreme events from data using deep machine learning: when and where
arXiv
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arXiv 2022年
作者: Jiang, Junjie Huang, Zi-Gang Grebogi, Celso Lai, Ying-Cheng The Key Laboratory of Biomedical Information Engineering of Ministry of Education Institute of Health and Rehabilitation Science School of Life Science and Technology Research Center for Brain-inspired Intelligence Xi’an Jiaotong University The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs Shaanxi Xi’an China School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States Institute for Complex Systems and Mathematical Biology School of Natural and Computing Sciences King’s College University of Aberdeen AB24 3UE United Kingdom Department of Physics Arizona State University TempeAZ85287 United States
We develop a deep convolutional neural network (DCNN) based framework for model-free prediction of the occurrence of extreme events both in time ("when") and in space ("where") in nonlinear physica... 详细信息
来源: 评论