Brain-Computer Interface Research (eBook)
VI, 136 Seiten
Springer International Publishing (Verlag)
978-3-319-57132-4 (ISBN)
Dr. Christoph Guger studied Biomedical Engineering at the University of Technology Graz and Johns Hopkins University in Baltimore, USA. He then carried out research work at the Department of Medical Informatics (Prof. Pfurtscheller) at the University of Technology Graz and received his PhD in 1999. He co-founded G.TEC 1999, and has worked there ever since.
Dr. Brendan Allison studied Cognitive Science at the University of California in San Diego (Prof. Pineda) and received his PhD in 2003. He then worked as a postdoc or senior postdoc for several top experts, including Profs. Polich, Wolpaw, Pfurtscheller, and Neuper. He has been active in BCI research for about 20 years, with an h-index of 31.
Dr. Junichi Ushiba studied Rehabilitation Engineering and Neuroscience at the Keio University, Japan and the Center for Sensory-Motor Interaction, Aalborg University, Denmark. He received his PhD in 2004. He then had worked at the Keio University as a Research Associate, Assistant Professor, and now he is a principal investigator at the Laboratory for Rehabilitation Neuroscience. He has published more than 50 original articles. He served as a Conference Chair on Clinical Brain-Computer Interface 2015 in Tokyo (CBMI 2015).
Dr. Christoph Guger studied Biomedical Engineering at the University of Technology Graz and Johns Hopkins University in Baltimore, USA. He then carried out research work at the Department of Medical Informatics (Prof. Pfurtscheller) at the University of Technology Graz and received his PhD in 1999. He co-founded G.TEC 1999, and has worked there ever since.Dr. Brendan Allison studied Cognitive Science at the University of California in San Diego (Prof. Pineda) and received his PhD in 2003. He then worked as a postdoc or senior postdoc for several top experts, including Profs. Polich, Wolpaw, Pfurtscheller, and Neuper. He has been active in BCI research for about 20 years, with an h-index of 31. Dr. Junichi Ushiba studied Rehabilitation Engineering and Neuroscience at the Keio University, Japan and the Center for Sensory-Motor Interaction, Aalborg University, Denmark. He received his PhD in 2004. He then had worked at the Keio University as a Research Associate, Assistant Professor, and now he is a principal investigator at the Laboratory for Rehabilitation Neuroscience. He has published more than 50 original articles. He served as a Conference Chair on Clinical Brain-Computer Interface 2015 in Tokyo (CBMI 2015).
Introduction (C. Guger at al.).- An ECoG-Based BCI Based on Auditory Attention to Natural Speech (P. Brunner et al.).- Motor Imagery BCI with Auditory Feedback as a Mechanism for Assessment and Communication in Disorders of Consciousness (D. Coyle et al.).- Towards Continuous Speech Recognition for BCI (C. Herff et al.).- Recovery of Brain Function by Neuroprostheses: A Challenge for Neuroscience and Technology (R. Hogri et al.).- Estimation of Intracranial P300 Speller Sites with Magnetoencephalography (MEG) - perspectives for Non-invasive Navigation of Subdural Grid Implantation (M. Korostenskaja et al.).- Brain-Machine Interface Development for Finger Movement Control (T.M. Lal et al.).- Brain-Computer Interface Controlling Cyborg: A Functional Brain-to-Brain Interface between Human and Cockroach (G. Li et al.).- A Brain-Computer-Interface to Combat Musculoskeletal Pain (N. Mrachacz-Kersting et al.).- BCI-based Facilitation of Cortical Activity Associated to Gait Onset after Single Event Multi-Level Surgery in Cerebral Palsy (J.I. Serrano et al.).- Conclusion (C. Guger et al.).
| Erscheint lt. Verlag | 29.4.2017 |
|---|---|
| Reihe/Serie | SpringerBriefs in Electrical and Computer Engineering | SpringerBriefs in Electrical and Computer Engineering |
| Zusatzinfo | VI, 136 p. 43 illus., 40 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Betriebssysteme / Server |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Medizin / Pharmazie | |
| Naturwissenschaften ► Physik / Astronomie | |
| Technik | |
| Schlagworte | BCI innovation award • BCI Prize 2015 • brain-computer interface • brain-machine interface • Electrocorticography • Electroencephalography • Neurofeedback Training |
| ISBN-10 | 3-319-57132-X / 331957132X |
| ISBN-13 | 978-3-319-57132-4 / 9783319571324 |
| Haben Sie eine Frage zum Produkt? |
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