Neural Engineering

 
 
Springer (Verlag)
  • 3. Auflage
  • |
  • erscheint ca. am 27. Juli 2020
 
  • Buch
  • |
  • Hardcover
  • |
  • XVI, 816 Seiten
978-3-030-43394-9 (ISBN)
 

This third edition overviews the essential contemporary topics of neuroengineering, from basic principles to the state-of-the-art, and is written by leading scholars in the field. The book covers neural bioelectrical measurements and sensors, EEG signal processing, brain-computer interfaces, implantable and transcranial neuromodulation, peripheral neural interfacing, neuroimaging, neural modelling, neural circuits and system identification, retinal bioengineering and prosthetics, and neural tissue engineering. Each chapter is followed by homework questions intended for classroom use.

This is an ideal textbook for students at the graduate and advanced undergraduate level as well as academics, biomedical engineers, neuroscientists, neurophysiologists, and industry professionals seeking to learn the latest developments in this emerging field.

3rd ed. 2020
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • 89
  • |
  • 265 farbige Tabellen, 265 farbige Abbildungen, 89 s/w Abbildungen
  • Höhe: 25.4 cm
  • |
  • Breite: 17.8 cm
978-3-030-43394-9 (9783030433949)
10.1007/978-3-030-43395-6
weitere Ausgaben werden ermittelt

Bin He, PhD., is a pioneer and leader in the field of neural engineering. An internationally recognized scientist with significant contributions to neural interfacing, neuroimaging, and neuromodulation, Dr. He has been recognized by prestigious awards including IEEE Biomedical Engineering Award, IEEE EMBS William J Morlock Award, and IEEE EMBS Academic Career Achievement Award. Dr. He has served as the President of the IEEE Engineering in Medicine & Biology Society (EMBS), Chair of International Academy of Medical and Biological Engineering (IAMBE), the Editor-in-Chief of IEEE Transactions on Biomedical Engineering, and been on numerous journal editorial boards. Dr. He is currently Trustee Professor and Head of the Department of Biomedical Engineering, and Professor of Neuroscience Institute at Carnegie Mellon University. He is an elected Fellow of AIMBE, BMES, IAMBE and IEEE.

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
This third edition overviews the essential contemporary topics of neuroengineering, from basic principles to state-of-the-arts, written by leading scholars in the field. The book covers neural bioelectrical measurements and sensors, EEG signal processing, brain-computer interfaces, implantable and transcranial neuromodulation, peripheral neural interfacing, neuroimaging, neural modelling, neural circuits and system identification, retinal bioengineering and prosthetics, and neural tissue engineering. Each chapter is followed by homework questions intended for classroom use.

This is an ideal textbook for students at the graduate and advanced undergraduate level as well as academics, biomedical engineers, neuroscientists, neurophysiologists, and industry professionals seeking to learn the latest developments in this emerging field.

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