Neural Engineering
Editat de Bin Heen Limba Engleză Paperback – 23 aug 2016
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Specificații
ISBN-13: 9781489978875
ISBN-10: 1489978879
Pagini: 812
Ilustrații: X, 800 p.
Dimensiuni: 155 x 235 x 41 mm
Greutate: 1.12 kg
Ediția:Softcover reprint of the original 2nd ed. 2013
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 1489978879
Pagini: 812
Ilustrații: X, 800 p.
Dimensiuni: 155 x 235 x 41 mm
Greutate: 1.12 kg
Ediția:Softcover reprint of the original 2nd ed. 2013
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
Notă biografică
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 the IEEE Engineering in Medicine & Biology Society (EMBS), and as an Associate or Guest Editor for multiple journals in the field of biomedical engineering. Dr. He is currently Professor of Biomedical Engineering at the University of Minnesota, where he serves as Associate Director for Research, Institute for Engineering in Medicine, Director, Center for Neuroengineering, and Director, Biomedical Functional Imaging and Neuroengineering Laboratory.
Textul de pe ultima copertă
Neural Engineering, 2nd Edition, 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. 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.
Caracteristici
Second Edition of bestselling book Chapters written by top researchers in the field Suitable for graduate and upper undergraduate use Includes supplementary material: sn.pub/extras
Cuprins
Introduction to Neurophysiology.- Biopotential Measurements and Electrodes.- EEG Signal Processing: Theory and Applications.- Brain-Computer Interfaces.- Intracortical Brain Machine Interfaces.- Deep Brain Stimulation: Emerging Technologies and Applications.- Transcranial Magnetic Stimulation: Principles and Applications.- Transcranial Electrical Stimulation.- Optogenetics: Novel Brain Interface Technology that Originates in Bioprospecting.- Selective Chronic Recording in the Peripheral Nervous System.- Functional Magnetic Resonance Imaging.- Photoacoustic Tomography of Neural Systems.- Electrophysiological Mapping and Source Imaging.- Exploring Functional and Causal Connectivity in the Brain.- Deep Learning Models with Applications to Brain Image Analysis.- Neural Modeling.- Linear Dynamics & Control of Brain Networks.- Deciphering the Neuronal Population Code.- Machine Intelligence BasedEpileptic Seizure Forecasting.- Retinal Prosthesis.- Retinal Bioengineering.- Neural Tissue Engineering.- Index.