Neural engineering
著者
書誌事項
Neural engineering
Springer, 2020
3rd ed
- : [hbk.]
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注記
"Corrected publication 2020"--T.p. verso
Includes bibliographical references and index
内容説明・目次
内容説明
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
目次
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
「Nielsen BookData」 より
