9780521769419-0521769418-Brain-Computer Interfacing: An Introduction

Brain-Computer Interfacing: An Introduction

ISBN-13: 9780521769419
ISBN-10: 0521769418
Edition: Annotated
Author: Rajesh P. N. Rao
Publication date: 2013
Publisher: Cambridge University Press
Format: Hardcover 337 pages
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Book details

ISBN-13: 9780521769419
ISBN-10: 0521769418
Edition: Annotated
Author: Rajesh P. N. Rao
Publication date: 2013
Publisher: Cambridge University Press
Format: Hardcover 337 pages

Summary

Brain-Computer Interfacing: An Introduction (ISBN-13: 9780521769419 and ISBN-10: 0521769418), written by authors Rajesh P. N. Rao, was published by Cambridge University Press in 2013. With an overall rating of 3.5 stars, it's a notable title among other AI & Machine Learning (Physical, Anthropology, Computer Science) books. You can easily purchase or rent Brain-Computer Interfacing: An Introduction (Hardcover) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.32.

Description

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

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