Neural Engineering

ISBN-13: 9783030433970 / Angielski / Miękka / 2021 / 720 str.

Opis

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, 3^rd 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

Spis treści

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

O autorze

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.