Brain-Computer Interfacing

This introduction to brain-computer interfacing is designed for courses on neural engineering or brain-computer interfacing for students from wide-ranging disciplines.

Informationen zum Autor Rajesh P. N. Rao is an Associate Professor in the Computer Science and Engineering Department at the University of Washington, Seattle. He has been awarded an NSF CAREER award, an ONR Young Investigator Award, a Sloan Faculty Fellowship and a David and Lucile Packard Fellowship for Science and Engineering. Rao has published more than 150 papers in conferences and leading scientific journals, including Science, Nature, and PNAS, and is the co-editor of Probabilistic Models of the Brain (with Bruno A. Olshausen and Michael S. Lewicki, 2002) and Bayesian Brain (with Kenji Doya, Shin Ishii and Alexandre Pouget, 2007). His research targets problems at the intersection of computational neuroscience, artificial intelligence and brain-computer interfacing. Klappentext This introduction to brain-computer interfacing is designed for courses on neural engineering or brain-computer interfacing for students from wide-ranging disciplines. 'Rajesh Rao has written the perfect introduction to the exciting world of brain-computer interfaces. The book is remarkably comprehensive - not only including full descriptions of classic and current experiments but also covering essential background concepts, from the brain to Bayes and back. Brain-Computer Interfacing will be welcomed by a wide range of intelligent readers interested in understanding the first steps toward the symbiotic merger of brains and computers.' Eberhard E. Fetz, Professor of Physiology and Biophysics, University of Washington 'Brain-computer interfacing is one of the fastest growing areas of neuroengineering and Rajesh Rao has written the go-to book for anyone who wants an introduction and a clear overview of the field. The book includes questions and exercises at the end of each chapter to help students master the material and a mathematical appendix to make the technical aspects more accessible to all.' Terrence Sejnowski, Howard Hughes Medical Institute Investigator and Francis Crick Professor at the Salk Institute Zusammenfassung This introduction to the field of brain-computer interfacing is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used as a reference by neuroscientists! computer scientists! engineers! and medical practitioners. Inhaltsverzeichnis 1. Introduction; Part I. Background: 2. Basic neuroscience; 3. Recording and stimulating the brain; 4. Signal processing; 5. Machine learning; Part II. Putting it All Together: 6. Building a BCI; Part III. Major Types of BCIs: 7. Invasive BCIs; 8. Semi-invasive BCIs; 9. Non-invasive BCIs; 10. BCIs that stimulate; 11. Bidirectional and recurrent BCIs; Part IV. Applications and Ethics: 12. Applications of BCIs; 13. Ethics of brain-computer interfacing; 14. Conclusion; Bibliography; Index....

Résumé
This introduction to the field of brain-computer interfacing is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used as a reference by neuroscientists, computer scientists, engineers, and medical practitioners.

Contenu

1. Introduction; Part I. Background: 2. Basic neuroscience; 3. Recording and stimulating the brain; 4. Signal processing; 5. Machine learning; Part II. Putting it All Together: 6. Building a BCI; Part III. Major Types of BCIs: 7. Invasive BCIs; 8. Semi-invasive BCIs; 9. Non-invasive BCIs; 10. BCIs that stimulate; 11. Bidirectional and recurrent BCIs; Part IV. Applications and Ethics: 12. Applications of BCIs; 13. Ethics of brain-computer interfacing; 14. Conclusion; Bibliography; Index.