Brain-Computer Interfacing, Volume 168, not only gives readers a clear understanding of what BCI science is currently offering, but also describes future expectations for restoring lost brain function in patients. In-depth technological chapters are aimed at those interested in BCI technologies and the nature of brain signals, while more comprehensive summaries are provided in the more applied chapters. Readers will be able to grasp BCI concepts, understand what needs the technologies can meet, and provide an informed opinion on BCI science.
Brain-Computer Interfacing, Volume 168, not only gives readers a clear understanding of what BCI science is currently offering, but also describes future expectations for restoring lost brain function in patients. In-depth technological chapters are aimed at those interested in BCI technologies and the nature of brain signals, while more comprehensive summaries are provided in the more applied chapters. Readers will be able to grasp BCI concepts, understand what needs the technologies can meet, and provide an informed opinion on BCI science. Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Nick Ramsey has a degree in Psychology and a PhD in neuro-psychopharmacology, both from the university of Utrecht (Netherlands). He became a specialist in cognitive neuroimaging in the US (National Institutes of Health), and applies modern techniques, including fMRI and intracranial EEG, to questions on working memory, language, and sensorimotor function. His primary goal is to acquire and translate neuro-scientific insights to patients with neurological and psychiatric disorders, with a focus on brain-computer interfacing. He is full professor in cognitive neuroscience at the department of neurology and neurosurgery of the UMC Utrecht since 2007. He has been awarded several personal grants including a VIDI (NWO, 2002) for elucidating working memory, a VICI (NWO, 2006) and later a European ERC Advanced grant for developing intracranial BCI concepts for paralyzed people. The BCI research resulted in an implantable prototype for locked-in patients the first of who has now been using
the implant for over 3 years for communication. He also was awarded several Valorisation grants and started a spin-off company to provide Clinical fMRI reports to clinicians. He has supervised over 20 PhD students and has (co)authored over 190 peer-reviewed publications.
Inhaltsangabe
1. Human brain function and brain-computer interfaces 2. Brain-computer interfaces: definitions and principles 3. Stroke and potential benefits of brain to computer interface 4. Brain-computer interfaces for people with amyotrophic lateral sclerosis 5. Brain damage by trauma 6. Spinal cord lesions 7. Brain:computer interfaces for communication 8. Applications of brain-computer interfaces to the control of robotic and prosthetic arms 9. BCI for rehab ('not control') 10. Video games as rich environments to foster brain plasticity 11. Consciousness and communication brain-computer interfaces in severely brain-injured patients 12. Smart neuromodulation in movement disorders 13. Bidirectional brain computer interfaces 14. Brain-computer interfaces and virtual reality for neurorehabilitation 15. Monitoring performance of professional and occupational operators 16. Self-Health Monitoring and wearable neurotechnologies 17. Brain-computer interfaces for basic neuroscience 18. Electroencephalography 19. iEEG: dura-lining electrodes 20. Local field potentials for BCI control 21. Real-time fMRI for brain-computer interfacing 22. Merging brain-computer interface and functional electrical stimulation technologies for movement restoration 23. General principles of machine learning for brain-computer interfacing 24. Ethics and the emergence of brain-computer interface medicine 25. Industrial perspectives on brain-computer interface technology 26. Hearing the needs of clinical users
1. Human brain function and brain-computer interfaces 2. Brain-computer interfaces: definitions and principles 3. Stroke and potential benefits of brain to computer interface 4. Brain-computer interfaces for people with amyotrophic lateral sclerosis 5. Brain damage by trauma 6. Spinal cord lesions 7. Brain:computer interfaces for communication 8. Applications of brain-computer interfaces to the control of robotic and prosthetic arms 9. BCI for rehab ('not control') 10. Video games as rich environments to foster brain plasticity 11. Consciousness and communication brain-computer interfaces in severely brain-injured patients 12. Smart neuromodulation in movement disorders 13. Bidirectional brain computer interfaces 14. Brain-computer interfaces and virtual reality for neurorehabilitation 15. Monitoring performance of professional and occupational operators 16. Self-Health Monitoring and wearable neurotechnologies 17. Brain-computer interfaces for basic neuroscience 18. Electroencephalography 19. iEEG: dura-lining electrodes 20. Local field potentials for BCI control 21. Real-time fMRI for brain-computer interfacing 22. Merging brain-computer interface and functional electrical stimulation technologies for movement restoration 23. General principles of machine learning for brain-computer interfacing 24. Ethics and the emergence of brain-computer interface medicine 25. Industrial perspectives on brain-computer interface technology 26. Hearing the needs of clinical users
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