Neural Engineering (eBook, PDF)

Redaktion: He, Bin

• Format: PDF

Produktbeschreibung

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

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 699
• Erscheinungstermin: 21. September 2020
• Englisch
• ISBN-13: 9783030433956
• Artikelnr.: 62287720

Autorenporträt

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.

Inhaltsangabe

Introduction to Neurophysiology.- Biopotential Measurements and Electrodes.- EEG Signal Processing: Theory and Applications.- Brain-Computer Interfaces.- Intracortical Brain Machine Interfaces.- Deep Brain Stimulation: Emerging Technologies and Applications.- Transcranial Magnetic Stimulation: Principles and Applications.- Transcranial Electrical Stimulation.- Optogenetics: Novel Brain Interface Technology that Originates in Bioprospecting.- Selective Chronic Recording in the Peripheral Nervous System.- Functional Magnetic Resonance Imaging.- Photoacoustic Tomography of Neural Systems.- Electrophysiological Mapping and Source Imaging.- Exploring Functional and Causal Connectivity in the Brain.- Deep Learning Models with Applications to Brain Image Analysis.- Neural Modeling.- Linear Dynamics & Control of Brain Networks.- Deciphering the Neuronal Population Code.- Machine Intelligence BasedEpileptic Seizure Forecasting.- Retinal Prosthesis.- Retinal Bioengineering.- Neural Tissue Engineering.- Index.