Brain-Computer Interfacing
An Introduction

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

Rajesh P. N. Rao (Author)

9780521769419, Cambridge University Press

Hardback, published 30 September 2013

337 pages, 130 b/w illus. 16 colour illus. 3 tables 179 exercises
26.1 x 18.3 x 2.3 cm, 0.8 kg

'Brain-computer interfacing is one of the fastest growing areas of neuroengineering and Rajesh P. N. 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 for Biological Studies, California

The 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 restoration and augmentation of human physical and mental capabilities. Medical applications such as cochlear implants for the deaf and neurally controlled prosthetic limbs for the paralyzed are becoming almost commonplace. Brain-computer interfaces (BCIs) are also increasingly being used in 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 questions and exercises in each chapter and a supporting website.

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.

Subject Areas: Artificial intelligence [UYQ], Computer science [UY], Neurosciences [PSAN], Biomedical engineering [MQW], Neurology & clinical neurophysiology [MJN]