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Titlebook: Brain Informatics; International Confer Shouyi Wang,Vicky Yamamoto,Tom Mitchell Conference proceedings 2018 Springer Nature Switzerland AG

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期刊全称Brain Informatics
期刊简称International Confer
影响因子2023Shouyi Wang,Vicky Yamamoto,Tom Mitchell
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Brain Informatics; International Confer Shouyi Wang,Vicky Yamamoto,Tom Mitchell Conference proceedings 2018 Springer Nature Switzerland AG
影响因子.This book constitutes the refereed proceedings of the International Conference on Brain Informatics, BI 2018, held in Arlington, TX, USA, in December 2018. The 46 revised full papers were carefully reviewed and selected from 53 submissions. The papers are grouped thematically on 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, brain-machine intelligence and brain-inspired computing..
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书目名称Brain Informatics影响因子(影响力)




书目名称Brain Informatics影响因子(影响力)学科排名




书目名称Brain Informatics网络公开度




书目名称Brain Informatics网络公开度学科排名




书目名称Brain Informatics被引频次




书目名称Brain Informatics被引频次学科排名




书目名称Brain Informatics年度引用




书目名称Brain Informatics年度引用学科排名




书目名称Brain Informatics读者反馈




书目名称Brain Informatics读者反馈学科排名




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Rich Dynamics Induced by Synchronization Varieties in the Coupled Thalamocortical Circuitry Modelinteractive modes and weights. These results provide the complementary synchronization effects and conditions for the basic 3-node motifs. This may facilitate to construct the architecture based on patient EEG data and reveal the abnormal information expression of epileptic oscillatory network.
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Functional Connectivity Analysis Using the Oddball Auditory Paradigm for Attention Tasksents are carried out in subjects responding to an oddball paradigm. Results show statistical differences between target and non-target labels, making the proposed methodology a suitable alternative to support cognitive neurophysiological applications.
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Emotion Recognition Based on Gramian Encoding Visualizationn 3 real world datasets to learn high-level features from GAF images. The classification results of our method are better than the state-of-the-art approaches. This method makes visualization based emotion recognition become possible, which is beneficial in the real medical fields, such as making cognitive disease diagnosis more intuitively.
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Using the Partial Directed Coherence to Understand Brain Functional Connectivity During Movement Imaot. Our preliminary results show that it is possible to relate the changes in the magnitude of the PDC to different connectivity patterns in the measurement network we have considered, and those changes are in agreement with brain functional connectivity that has been reported in other studies based mainly in magnetic resonance imaging.
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