Reviews and discussions of contemporary and relevant topics by leading investigators, essential for all those wishing to take advantage of the latest and greatest in this emerging field.
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From the Back Cover
About the Series: Bioelectric Engineering presents state-of-the-art discussions on modern biomedical engineering with respect to applications of electrical engineering and information technology in biomedicine. This focus affirms Springer’s commitment to publishing important reviews of the broadest interest to biomedical engineers, bioengineers, and their colleagues in affiliated disciplines. Recent volumes have covered modeling and imaging of bioelectric activity, neural engineering, biosignal processing, bionanotechnology, among other topics. Key Features of this Volume: Neural Engineering, Bioelectric Engineering Volume 2, contains reviews and discussions of contemporary and relevant topics by leading investigators in the field. It is intended to serve as a textbook at the graduate and advanced undergraduate level in a bioengineering curriculum. The topics include: – Neural Prostheses – Neural Interfacing – Neural Robotics – Functional Neural Stimulation – Neural Imaging – Neural Computation – Neural Networks – Neural System Identification and Prediction – Retinal Neuroengineering This principles and applications approach to neural engineering is essential reading for all academics, biomedical engineers, neuroscientists, neurophysiologists, and industry professionals wishing to take advantage of the latest and greatest in this emerging field. About the Editor: Bin He, PhD., IEEE Fellow, is a leading figure in the field of bioelectric engineering. An internationally recognized scientist with numerous publications, Dr. He has served as the President of the International Society of Bioelectromagnetism and as an Associate or Guest Editor for nine international journals in the field of biomedical engineering. Dr. He is currently Professor of Biomedical Engineering at the University of Minnesota.
About the Author
Bin He, PhD., is a leading figure in the field of bioelectric engineering. An internationally recognized scientist with numerous publications, Dr. He has served as the President of the International Society of Bioelectromagnetism and as an Associate or Guest Editor for nine international journals in the field of biomedical engineering. Dr. He is currently Professor of Biomedical Engineering, Electrical Engineering, and Neuroscience at the University of Minnesota.
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Most Helpful Customer Reviews
1 of 1 people found the following review helpful:
2.0 out of 5 stars
Just a Table of Contents,
By J}238 (Minneapolis, MN) - See all my reviews
This review is from: Neural Engineering (Bioelectric Engineering) (Hardcover)
This book is basically a huge overview of a snapshot in time of what's going on in neural research with math emphasis. I give it 2/5 stars because that's the depth of the knowledge provided within this "textbook". It dedicates just a few pages per topic that could easily require a whole textbook to really obtain knowledge from.
It's outdated in the sense that this field is expanding at an exponential rate, so the topics highlighted in this book are by no means cutting-edge information. Although a newcomer to the field may benefit. A plus to this book is that there is a plethora of research articles it recommends to read per topic to see how the topics have been applied. Unfortunately, it doesn't give a list of good neural engineering textbooks per topic. If you are looking for an overview book, get this. If you're looking to have a rigorous understanding to be able to apply neural engineering concepts, look elsewhere.
1 of 1 people found the following review helpful:
4.0 out of 5 stars
great introductory book,
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This review is from: Neural Engineering (Bioelectric Engineering) (Hardcover)
Dr. He has put together a very well informed collection of literature synthesized into a great introduction to practical neural engineering. Recommended for udergraduate upper classmen new graduates.
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Inside This Book
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First Sentence:
The use of technology to compensate for neurological deficit or disease has long captured the imagination of researchers in neural engineering. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
neurorobotic control, neural microsystems, cortical current imaging, distributed source imaging, neuronal intrinsic properties, cortical potential imaging, seizure anticipation, parametric projection filter, scalp potential maps, brain electric sources, head volume conductor, retinal prostheses, electrode driver, neural population signal, cortical imaging technique, multifrequency network, subretinal prosthesis, integral pulse frequency modulation, signal acquisition methods, fluidic medium, implant coil, intracortical microelectrodes, multiple shanks, preictal state, surrogate time series Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Brain Res, Kmg Kgm, Difference of Gaussians, Lopes da Silva, John Wiley, Oxford University Press, Boca Raton, Department of Biomedical Engineering, Grave de Peralta-Menendez, Academic Press, Brain Mapp, Brain Topogr, Hearing Res, Vision Res, Englewood Cliffs, Neural Eng, University of Pennsylvania, Fundamental Studies, Huntington Medical Research Institutes, Kluwer Academic Publishers, University of Florida, University of Minnesota, American Electroencephalographic Society, Cambridge University Press New!
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
The use of technology to compensate for neurological deficit or disease has long captured the imagination of researchers in neural engineering. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
neurorobotic control, neural microsystems, cortical current imaging, distributed source imaging, neuronal intrinsic properties, cortical potential imaging, seizure anticipation, parametric projection filter, scalp potential maps, brain electric sources, head volume conductor, retinal prostheses, electrode driver, neural population signal, cortical imaging technique, multifrequency network, subretinal prosthesis, integral pulse frequency modulation, signal acquisition methods, fluidic medium, implant coil, intracortical microelectrodes, multiple shanks, preictal state, surrogate time series Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Brain Res, Kmg Kgm, Difference of Gaussians, Lopes da Silva, John Wiley, Oxford University Press, Boca Raton, Department of Biomedical Engineering, Grave de Peralta-Menendez, Academic Press, Brain Mapp, Brain Topogr, Hearing Res, Vision Res, Englewood Cliffs, Neural Eng, University of Pennsylvania, Fundamental Studies, Huntington Medical Research Institutes, Kluwer Academic Publishers, University of Florida, University of Minnesota, American Electroencephalographic Society, Cambridge University Press New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Citations (learn more)
This book cites 78
books:
See all 78 books this book cites
- Age-related Macular Degeneration, 1e by Stuart L. Fine MD on 4 pages
- Neural Prostheses: FUNDAMENTAL STUDIES (PRENTICE HALL BIOPHYSICS & BIOENGINEERING SERIES) by WILLIAM F., ED. AGNEW on 4 pages
- Neural Networks and Artificial Intelligence for Biomedical Engineering (IEEE Press Series on Biomedical Engineering) by Donna L. Hudson on 4 pages
- Neural Prostheses for Restoration of Sensory and Motor Function (Frontiers in Neuroscience) by John K. Chapin on page 151, page 152, and page 153
- Understanding Nonlinear Dynamics by Daniel Kaplan on page 331, and page 417
See all 78 books this book cites
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