Neural Modeling
The brain is extraordinarily complex, containing 1011 neurons linked with 1014 connections. We can improve our understanding of individual neurons and neuronal networks by describing their behavior in mathematical and computational models. This chapter pr
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Neural Engineering Third Edition
Neural Engineering
Bin He Editor
Neural Engineering Third Edition
Editor Bin He Department of Biomedical Engineering Carnegie Mellon University Pittsburgh, PA, USA
ISBN 978-3-030-43394-9 ISBN 978-3-030-43395-6 (eBook) https://doi.org/10.1007/978-3-030-43395-6 © Springer Nature Switzerland AG 2013, 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
There has been tremendous progress in the engineering of tools designed to interact with the nervous systems—from signal detection and processing to restoration and enhancement of function. Neural engineering (or its equivalent, neuroengineering) is a rapidly expanding interdisciplinary field bridging neuroscience and engineering. It spans cellular, tissue, and systems level research, and has become a core discipline within biomedical engineering and beyond. This book is aimed at serving as a textbook for undergraduate and graduate level courses in neural engineering within a biomedical engineering or bioengineering curriculum. It is our intent to provide a comprehensive review of the principles, concepts, theories, methods, and state-of-the-art research in selected areas of neural engineering. It is also suitable as an introduction to engineers or neuroscientists who are interested in entering the field of neural engineering or acquiring knowledge about the current state of the art in this rapidly developing discipline. Chapter 1 provides a general introduction to human neuroanatomy and neurophysiology. The chapter was written mainly for readers with backgrounds in engineering and physical sciences. While readers who are familiar with neuroanatomy and neurophysiology may skip this chapter, it wil
