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Titlebook: Brain Informatics; 12th International C Peipeng Liang,Vinod Goel,Chunlei Shan Conference proceedings 2019 Springer Nature Switzerland AG 20

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發(fā)表于 2025-3-21 18:43:48 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Brain Informatics
期刊簡稱12th International C
影響因子2023Peipeng Liang,Vinod Goel,Chunlei Shan
視頻videohttp://file.papertrans.cn/191/190194/190194.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Brain Informatics; 12th International C Peipeng Liang,Vinod Goel,Chunlei Shan Conference proceedings 2019 Springer Nature Switzerland AG 20
影響因子This book constitutes the refereed proceedings of the 12th International Conference on Brain Informatics, BI 2019, held in Haikou, China, in December 2019..The 26 revised full papers were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; human information processing systems; brain big data analysis, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing. Also included is a special session on computational social analysis for mental health..
Pindex Conference proceedings 2019
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書目名稱Brain Informatics影響因子(影響力)




書目名稱Brain Informatics影響因子(影響力)學科排名




書目名稱Brain Informatics網(wǎng)絡(luò)公開度




書目名稱Brain Informatics網(wǎng)絡(luò)公開度學科排名




書目名稱Brain Informatics被引頻次




書目名稱Brain Informatics被引頻次學科排名




書目名稱Brain Informatics年度引用




書目名稱Brain Informatics年度引用學科排名




書目名稱Brain Informatics讀者反饋




書目名稱Brain Informatics讀者反饋學科排名




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Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classificational Patterns are the most widely used algorithm that is very sensitive to artifacts and prone to overfitting. Here, we develop a metric to assess the relevance of Common Spatial Patterns using a mapping through Kernel Principal Component Analysis with the benefit of improved interpretation that allow
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Route Adjustment of Functional Brain Network in Mental Arithmetic Using Task-Evoked FMRIrather than on the details of graph adjustment that cause topological metric changes, such as significant adjusted route and the nodes on it. In this paper, we first used the brain atlas of Dosenbach to generate the functional brain networks of the 21 participants recruited in the mental arithmetic
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Study on the Connectivity of Language Network in Word Reading and Object Recognition Based on tfMRIfunctional connectivity is essential. This study aims to investigate the structure connectivity and the information exchange efficiency of the brain language network under different task modality. Using a public database from the open project “Word and Object Processing” shared from the OpenfMRI web
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