Brain-Computer Interfacing

he idea of interfacing minds with machines has long captured the human imagination. Recent advances in neuroscience and engineering are making this a reality, opening the door to restoring and potentially augmenting human physical and mental capabilities. Medical applications such as cochlear implants for the deaf and deep brain stimulation for Parkinson’s disease are becoming increasingly commonplace. Brain- computer interfaces (BCIs) (also known as brain- machine interfaces or BMIs) are now being explored in applications as diverse as security, lie detection, alertness monitoring, telepresence, gaming, education, art, and human augmentation. This introduction to the field 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 for self- study and as a reference by neuroscientists, computer scientists, engineers, and medical practitioners. Key features include: Essential background in neuroscience, brain recording and stimulation technologies, signal processing, and machine learning.

• Detailed description of the major types of BCIs in animals and humans, including invasive, semi-invasive, noninvasive, stimulating, and bidirectional BCIs
• In-depth discussion of BCI applications and BCI ethics
• Questions and exercises in each chapter
• Supporting Web site with annotated list of book- related links

Table of Contents

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 Ill Major Types of BCls

7 Invasive BCls

8 Semi-Invasive BCls

9 Noninvasive BCls

10 BCls that Stimulate

11 Bidirectional and Recurrent BCls

Part IV Applications and Ethics

12 Applications of BCls

13 Ethics of Brain-Computer Interfacing

14 Conclusion

Appendix Mathematical Background

Review

“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.

Book Description

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

About the Author

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.