Titlebook: Brain-Computer Interface Research; A State-of-the-Art S Christoph Guger,Brendan Allison,Junichi Ushiba Book 2017 The Author(s) 2017 BCI Pri

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https://doi.org/10.1007/978-3-319-57132-4BCI Prize 2015; BCI innovation award; Brain-computer interface; Brain-machine interface; Electroencephal

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Peter Gostmann,Peter-Ulrich Merz-BenzThe preceding chapters presented work from projects nominated.

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,Recent Advances in Brain-Computer Interface Research—A Summary of the BCI Award 2015 and BCI ResearThe preceding chapters presented work from projects nominated.

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Brain-Computer Interface Research978-3-319-57132-4Series ISSN 2191-8112 Series E-ISSN 2191-8120

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Gesellschaftliche und politische Macht,a biomimetic synthetic model that reliably recovered the motor learning function of the cerebellar network [., .]. While we proved feasibility by managing some neuroscientific and methodological challenges, this project was critically suggestive of the grave challenges expected on the way to reach a level of a clinically relevant neuroprosthesis.

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Book 2017ople to communicate and control their limbs and/or environment using thought processes alone. Research in this field continues to develop and expand rapidly, with many new ideas, research groups, and improved technologies having emerged in recent years. The chapters in this volume feature the newest

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https://doi.org/10.1007/978-3-658-21938-3r, or humanoid robot to the left. BCIs might detect brain activity through sensors outside the head, such as an electrode cap that detects the electroencephalogram (EEG) or sensors inside the head, such as electrocorticography (ECoG) activity that is detected during neurosurgery.