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Neural Engineering

Editat de Bin He
en Limba Engleză Paperback – 23 aug 2016
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.
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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: 12.039999999999999 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

Chapter 1: Introduction to Neurophysiology
Chapter 2: Biopotential Measurements and Electrodes

Chapter 3: EEG Signal Processing: Theory and Applications

Chapter 4: Brain-Computer Interfaces

Chapter 5: Intracortical Brain Machine Interfaces

Chapter 6: Deep Brain Stimulation: Emerging Technologies and Applications

Chapter 7: Transcranial Magnetic Stimulation: Principles and Applications

Chapter 8: Transcranial Electrical Stimulation

Chapter 9: Optogenetics: Novel Brain Interface Technology that Originates in Bioprospecting

Chapter 10: Selective Chronic Recording in the Peripheral Nervous System

Chapter 11: Functional Magnetic Resonance Imaging

Chapter 12: Photoacoustic Tomography of Neural Systems

Chapter 13: Electrophysiological Mapping and Source Imaging

Chapter 14: Exploring Functional and Causal Connectivity in the Brain

Chapter 15: Deep Learning Models with Applications to Brain Image Analysis

Chapter 16: Neural Modeling

Chapter 17: Linear Dynamics & Control of Brain Networks

Chapter 18: Deciphering the Neuronal Population Code

Chapter 19: Machine Intelligence Based Epileptic Seizure Forecasting

Chapter 20: Retinal Prosthesis

Chapter 21: Retinal Bioengineering
Chapter 22: Neural Tissue Engineering

Index