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
About the Author: 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.
