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.
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.
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.
Inhaltsangabe
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.
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.
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