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