Main description:

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.Advance Praise for Neural Engineering, 3rd Edition:

"A comprehensive and timely contribution to the ever growing field of neural engineering. Bin He's edited volume provides chapters that cover both the fundamentals and state-of-the-art developments by the world's leading neural engineers."

Dr. Paul Sajda, Department of Biomedical Engineering, Electrical Engineering and Radiology, Columbia University

"Neural Engineering, edited by Prof. He, is an outstanding book for students entering into this fast evolving field as well as experienced researchers. Its didactic and comprehensive style, with each chapter authored by leading scientific authorities, provides the ultimate reference for the field."

Dr. Dario Farina, Department of Bioengineering, Imperial College London, London, UK

"Neural Engineering has come of age. Major advances have made possible prosthesis for the blind,

mind control for quadraplegics and direct intervention to control seizures in epilepsy patients.

Neural Engineering brings together reviews by leading researchers in this flourishing field.

Dr. Terrence Sejnowski, Salk Institute for Biolgical Studies and UC San Diego

Contents:

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