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Titlebook: Brain-Computer Interface Research; A State-of-the-Art S Christoph Guger,Natalie Mrachacz-Kersting,Brendan Book 2019 The Author(s), under e

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發(fā)表于 2025-3-21 19:24:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Brain-Computer Interface Research
期刊簡稱A State-of-the-Art S
影響因子2023Christoph Guger,Natalie Mrachacz-Kersting,Brendan
視頻videohttp://file.papertrans.cn/191/190291/190291.mp4
發(fā)行地址Summarizes most innovative BCI projects.Publishes the BCI Award 2017 nominees.Provides a worldwide overview of BCI research
學(xué)科分類SpringerBriefs in Electrical and Computer Engineering
圖書封面Titlebook: Brain-Computer Interface Research; A State-of-the-Art S Christoph Guger,Natalie Mrachacz-Kersting,Brendan  Book 2019 The Author(s), under e
影響因子.Each year, the Annual BCI Research Award recognizes the top new projects in brain-computer interface (BCI) research. This book contains summaries of these projects from the 2017 BCI Research Award. Each chapter is written by the group that submitted the BCI project that was nominated, and introduction and discussion chapters provide supporting information and explore trends that are reflected in the annual awards each year. One of the prominent trends in recent years has been BCIs for new patient groups, and many chapters in this book present emerging research directions that might become more prevalent in the near future.?..?.
Pindex Book 2019
The information of publication is updating

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High Performance BCI in Controlling an Avatar Using the Missing Hand Representation in Long Term Amone of four tasks to direct the movement of an avatar on a monitor. Classification accuracy was very high across both cue-based and free-choice conditions. Results support the use of this fMRI BCI approach for virtual navigation, which could improve BCIs based on fMRI as well as other approaches such as EEG.
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Book 2019these projects from the 2017 BCI Research Award. Each chapter is written by the group that submitted the BCI project that was nominated, and introduction and discussion chapters provide supporting information and explore trends that are reflected in the annual awards each year. One of the prominent
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2191-8112 years has been BCIs for new patient groups, and many chapters in this book present emerging research directions that might become more prevalent in the near future.?..?.978-3-030-05667-4978-3-030-05668-1Series ISSN 2191-8112 Series E-ISSN 2191-8120
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Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed.i.d. conditions, LLP is guaranteed to obtain the optimal decoder for online data, (3) under violation of stationarity assumptions, LLP can continuously adapt to the changing data, and (4) it can, in practice, replace a traditional supervised decoder when combined with an expectation-maximization algorithm.
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