Brain-Computer Interfacing (Paperback)

Rajesh P.N. Rao

ISBN 10: 1108708013 / ISBN 13: 9781108708012

Published by Cambridge University Press, Cambridge, 2019

About this Item

Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781108708012

Bibliographic Details

• Title: Brain-Computer Interfacing (Paperback)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 2019
• Language: English
• ISBN 10: 1108708013
• ISBN 13: 9781108708012
• Binding: Paperback
• Condition: new

About this title

Synopsis

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 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

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.