Titlebook: Brain-Computer Interface Research; A State-of-the-Art S Christoph Guger,Gernot Müller-Putz,Brendan Allison Book 2015 The Author(s) 2015 201

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Reflexion und Schlussfolgerungen, This chapter also presents a comparison with a classical attached vibrotactile transducer-based BCI paradigm. Experiment results from subjects performing online experiments validate the novel BCI paradigm.

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Neurofeedback Training with a Motor Imagery-Based BCI Improves Neurocognitive Functions in Elderly erly people. To assess the effectiveness of this application, we studied 63 subjects, all above 60 years old. The subjects were divided into a control group (32 subjects) and a NFT group (31 subjects). To validate the effectiveness of the NFT using MI-BCI, variations in the scores of neuropsychologi

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Near-Instantaneous Classification of Perceptual States from Cortical Surface Recordings,d to classify the presented image. When applied to continuously recorded brain activity, our decoding technique could accurately predict whether each stimulus was a face, house, or neither, with ~20 ms timing error. These results provide a roadmap for improved brain-computer interfacing tools to hel

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Book 2015iscussions of the submitted projects and how they reflect general trends in BCI development. Each of these ten groups provides a chapter summarizing their nominated project, including an introduction, description of methods, results, and newer work completed after the project was submitted. Hence, t

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Wie Sie Ihren persönlichen Erfolg steigernof EEG (event-related desynchronization) and more importantly, event-related synchronization in the high-γ (≥70 Hz) frequency band. Early studies using stimulus-locked high-gamma synchronization have used conventional language tasks like picture naming. Subsequent studies have described the topograp

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