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

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發(fā)表于 2025-3-25 03:23:42 | 只看該作者
https://doi.org/10.1007/978-3-8349-4453-5paradigm utilizes a code- modulated visual evoked potential (cVEP), with a relatively high carrier frequency of 40?Hz (which is about the threshold that human vision can detect) using pseudo-random pattern flashing stimuli. These visual stimuli are very perceptually friendly and, due to their wide f
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發(fā)表于 2025-3-25 11:04:44 | 只看該作者
https://doi.org/10.1007/978-3-8349-4453-5, assessing their cognitive functions and cognitive awareness can be challenging. The “gold standard” for such assessments relies on behavioral responses, and recent work using different neuroimaging methods has shown that behavioral diagnoses may underestimate patients’ capabilities. Thus, there is
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發(fā)表于 2025-3-25 13:19:38 | 只看該作者
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發(fā)表于 2025-3-25 21:25:37 | 只看該作者
Christoph Guger,Brendan Allison,Mikhail LebedevSummarizes prize-winning BCI innovations.Extends the categories of disabilities and patient groups that can benefit from BCI technologies..Includes both cutting edge science and important medical adva
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發(fā)表于 2025-3-26 00:17:47 | 只看該作者
SpringerBriefs in Electrical and Computer Engineeringhttp://image.papertrans.cn/b/image/190286.jpg
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發(fā)表于 2025-3-26 08:22:10 | 只看該作者
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發(fā)表于 2025-3-26 14:32:00 | 只看該作者
2191-8112 ncludes both cutting edge science and important medical adva.This book presents compact and informative descriptions of the most promising new projects in brain-computer interface (BCI) research. As in earlier volumes in this series, the contributions come from many of the best-known groups in BCI r
30#
發(fā)表于 2025-3-26 18:33:03 | 只看該作者
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