Neural Engineering

  • Bin He

Part of the Bioelectric Engineering book series (BEEG)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Philip R. Troyk, Stuart F. Cogan
    Pages 1-48
  3. Ph. A. Passeraub, N. V. Thakor
    Pages 49-83
  4. Anirudh Vallabhaneni, Tao Wang, Bin He
    Pages 85-121
  5. Karen A. Moxon
    Pages 123-155
  6. Dominique M. Durand, Warren M. Grill, Robert Kirsch
    Pages 157-191
  7. Donna L. Hudson, Maurice E. Cohen
    Pages 193-219
  8. Bin He, Jie Lian
    Pages 221-261
  9. Leif H. Finkel, Diego Contreras
    Pages 263-288
  10. Dongming Xu, Bryan Davis, Mustafa Ozturk, Liping Deng, Mark Skowronski, John G. Harris et al.
    Pages 289-332
  11. Ting Ma, Ying-Ying Gu, Yuan-Ting Zhang
    Pages 333-365
  12. Garrett B. Stanley
    Pages 367-388
  13. Wim van Drongelen, Hyong C. Lee, Kurt E. Hecox
    Pages 389-419
  14. Robert A. Linsenmeier
    Pages 421-484
  15. Back Matter
    Pages 485-488

About this book


About the Series:

Bioelectric Engineering presents state-of-the-art discussions on modern biomedical engineering with respect to applications of electrical engineering and information technology in biomedicine. This focus affirms Springer’s commitment to publishing important reviews of the broadest interest to biomedical engineers, bioengineers, and their colleagues in affiliated disciplines. Recent volumes have covered modeling and imaging of bioelectric activity, neural engineering, biosignal processing, bionanotechnology, among other topics.

Key Features of this Volume:

Neural Engineering, Bioelectric Engineering Volume 2, contains reviews and discussions of contemporary and relevant topics by leading investigators in the field. It is intended to serve as a textbook at the graduate and advanced undergraduate level in a bioengineering curriculum. The topics include:

– Neural Prostheses

– Neural Interfacing

– Neural Robotics

– Functional Neural Stimulation

– Neural Imaging

– Neural Computation

– Neural Networks

– Neural System Identification and Prediction

– Retinal Neuroengineering

This principles and applications approach to neural engineering is essential reading for all academics, biomedical engineers, neuroscientists, neurophysiologists, and industry professionals wishing to take advantage of the latest and greatest in this emerging field.

About the Editor:

Bin He, PhD., IEEE Fellow, is a leading figure in the field of bioelectric engineering. An internationally recognized scientist with numerous publications, Dr. He has served as the President of the International Society of Bioelectromagnetism and as an Associate or Guest Editor for nine international journals in the field of biomedical engineering. Dr. He is currently Professor of Biomedical Engineering at the University of Minnesota.


bioengineering biomedical engineering biomedical engineers electrical engineering electromagnetism magnetism nanotechnology tissue

Editors and affiliations

  • Bin He
    • 1
  1. 1.University of MinnesotaMinneapolis

Bibliographic information