Handbook of Neural Engineering / Edition 1

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Overview

An important new work establishing a foundation for future developments in neural engineering

The Handbook of Neural Engineering provides theoretical foundations in computational neural science and engineering and current applications in wearable and implantable neural sensors/probes. Inside, leading experts from diverse disciplinary groups representing academia, industry, and private and government organizations present peer-reviewed contributions on the brain-computer interface, nano-neural engineering, neural prostheses, imaging the brain, neural signal processing, the brain, and neurons.

The Handbook of Neural Engineering covers:

  • Neural signal and image processing—the analysis and modeling of neural activity and EEG-related activities using the nonlinear and nonstationary analysis methods, including the chaos, fractal, and time-frequency and time-scale analysis methods—and how to measure functional, physiological, and metabolic activities in the human brain using current and emerging medical imaging technologies
  • Neuro-nanotechnology, artificial implants, and neural prosthesis—the design of multi-electrode arrays to study how the neurons of human and animals encode stimuli, the evaluation of functional changes in neural networks after stroke and spinal cord injuries, and improvements in therapeutic applications using neural prostheses
  • Neurorobotics and neural rehabilitation engineering—the recent developments in the areas of biorobotic system, biosonar head, limb kinematics, and robot-assisted activity to improve the treatment of elderly subjects at the hospital and home, as well as the interactions of the neuron chip, neural information processing, perception and neural dynamics, learning memory and behavior, biological neural networks, and neural control
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Editorial Reviews

Doody's Review Service
Reviewer: George Rudolph, PhD (The Citadel)
Description: This book on the emerging interdisciplinary science of neuroengineering is a compendium of current research, covering models, processes, hardware, and software, with an emphasis on the man-machine interface for rehabilitative devices.
Purpose: The author's purposes for the book are to highlight recent advances in wearable and implantable technology and related computational and neural science; serve as a primer, educational material, technical reference, and R&D resource; and become the unique neural engineering resource that contributes to the organization of the neural engineering knowledge domain and facilitates growth in the field. These are worthy objectives, but I don't believe it will become a unique resource — in fact, nanotechnology and embedded systems are changing so rapidly that it is difficult to predict what capabilities will be like in five years. It does, however, meet the other objectives.
Audience: "According to the author, this book is written as a primer for students, for practitioners, and for researchers in the field of neuroengineering. This book may be a primer on neuroengineering, but a reader has to have a significant background in one of the contributing fields to make use of it. It is for graduate students, practitioners, and researchers. "
Features: The book is a survey of current research in neuroengineering from the point of view of an emerging, integrated discipline. It highlights recent advances and innovations in medicine, software, hardware, and systems and their applications to neural rehabilitation. The book adequately covers information in the field, and the chapters are interesting. Readers with different backgrounds will find something to interest them, and the editor did not try to make every chapter interesting to everyone (which is good). There isn't anything particularly innovative about the presentation of the material, but serious readers won't necessarily expect that. What they do want is clear presentation of information, and the book delivers that. The book could use a set of questions at the end of each chapter, which could be a mixture of review and research-oriented questions that highlight the issues and investigations that the authors want to pursue. Although comprehensive in its approach, there is almost too much information in this book, with 40 chapters in 3 parts.
Assessment: "This is a good quality book, in terms of content, and it compares favorably with other books on this subject. It is useful as a current survey and resource for ideas, and the state of the art. Like much of the biomedical field, neuroengineering is rapidly evolving, and many details will be out of date before the book is widely read. However, it is useful for researchers to find information like this in one place, rather than to have to search through all the different journals and conferences where this material might otherwise be published. "
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Product Details

Table of Contents


Preface     ix
Contributors     xi
Neural Signal and Image Processing and Modeling
Optimal Signal Processing for Brain-Machine Interfaces   Justin C. Sanchez   Jose C. Principe     3
Modulation of Electrophysiological Activity in Neural Networks: Toward a Bioartificial Living System   Laura Bonzano   Alessandro Vato   Michela Chiappalone   Sergio Martinoia     29
Estimation of Posterior Probabilities with Neural Networks: Application to Microcalcification Detection in Breast Cancer Diagnosis   Juan Ignacio Arribas   Jesus Cid-Sueiro   Carlos Alberola-Lopez     41
Identification of Central Auditory Processing Disorders by Binaurally Evoked Brainstem Responses   Daniel J. Strauss   Wolfgang Delb   Peter K. Plinkert     59
Functional Characterization of Adaptive Visual Encoding   Nicholas A. Lesica   Garrett B. Stanley     81
Deconvolution of Overlapping Auditory Brainstem Responses Obtained at High Stimulus Rates   O. Ozdamar   R. E. Delgado   E. Yavuz   N. Acikgoz     101
Autonomic Cardiac Modulation at Sinoatrial and Atrioventricular Nodes: Observation and Models   S. Ward   R. Shouldice   C. Heneghan   P. Nolan   G.McDarby     111
Neural Networks and Time-Frequency Analysis of Surface Electromyographic Signals for Muscle Cerebral Control   Bruno Azzerboni   Maurizio Ipsale   Fabio La Foresta   Francesco Carlo Morabito     131
Multiresolution Fractal Analysis of Medical Images   Khan M. Iftekharuddin   Carlos Parra     157
Methods for Neural-Network-Based Segmentation of Magnetic Resonance Images   Lia Morra   Silvia Delsanto   Fabrizio Lamberti     173
High-Resolution EEG and Estimation of Cortical Activity for Brain-Computer Interface Applications   F. Cincotti   M. Mattiocco   D. Mattia   F. Babiloni   L. Astolfi     193
Estimation of Cortical Sources Related to Short-Term Memory in Humans with High-Resolution EEG Recordings and Statistical Probability Mapping   L. Astolfi   D. Mattia   F. Babiloni   F. Cincotti     201
Exploring Semantic Memory Areas by Functional MRI   G. Rizzo   P. Vitali   G. Baselli   M. Tettamanti   P. Scifo   S. Cerutti   D. Perani   F. Fazio     211
Neuro-Nanotechnology: Artificial Implants and Neural Protheses
Restoration of Movement by Implantable Neural Motor Prostheses   Thomas Sinkjaer   Dejan B. Popovic     227
Hybrid Olfactory Biosensor Using Multichannel Electroantennogram: Design and Application   John R. Hetling   Andrew J. Myrick   Kye-Chung Park   Thomas C. Baker     243
Reconfigurable Retina-Like Preprocessing Platform for Cortical Visual Neuroprostheses   Samuel Romero   Francisco J. Pelayo   Christian A. Morillas   Antonio Martinez   Eduardo Fernandez     267
Biomimetic Integration of Neural and Acoustic Signal Processing   Rolf Muller   Herbert Peremans     281
Retinal Image and Phosphene Image: An Analogy   Luke E. Hallum   Spencer C. Chen   Gregg J. Suaning   Nigel H. Lovell     297
Brain-Implantable Biomimetic Electronics as Neural Prostheses to Restore Lost Cognitive Function   Theodore W. Berger   Ashish Ahuja   Spiros H. Courellis   Gopal Erinjippurath   Ghassan Gholmieh   John J. Granacki   Min Chi Hsaio   Jeff LaCoss   Vasilis Z. Marmarelis   Patrick Nasiatka   Vijay Srinivasan   Dong Song   Armand R. Tanguay, Jr.   Jack Wills     309
Advances in Retinal Neuroprosthetics   Nigel H. Lovell   Luke E. Hallum    Spencer C. Chen   Socrates Dokos   Philip Byrnes-Preston   Rylie Green   Laura Poole-Warren   Torsten Lehmann   Gregg J. Suaning     337
Towards a Cultured Neural Probe: Patterning of Networks and their Electrical Activity   W. L. C. Rutten   T. G. Ruardij   E. Marani   B. H. Roelofsen     357
Spike Superposition Resolution in Multichannel Extracellular Neural Recordings: A Novel Approach   Karim Oweiss   David Anderson     369
Toward a Button-Sized 1024-Site Wireless Cortical Microstimulating Array   Maysam Ghovanloo   Khalil Najafi     383
Practical Considerations in Retinal Neuroprosthesis Design   Gregg J. Suaning   Luke E. Hallum   Spencer Chen   Philip Preston   Socrates Dokos   Nigel H. Lovell     401
Neurorobotics and Neural Rehabilation Engineering
Interfacing Neural and Artificial Systems: From Neuroengineering to Neurorobotics   P. Dario   C. Laschi   A. Menciassi   E. Guglielmelli   M. C. Carrozza   S. Micera     421
Neurocontroller for Robot Arms Based on Biologically Inspired Visuomotor Coordination Neural Models   E. Guglielmelli   G. Asuni   F. Leoni   A. Starita    P. Dario     433
Muscle Synergies for Motor Control   Andrea d'Avella   Matthew Tresch     449
Robots with Neural Building Blocks   Henrik Hautop Lund   Jacob Nielsen     467
Decoding Sensory Stimuli from Populations of Neurons: Methods for Long-Term Longitudinal Studies   Guglielmo Foffani   Banu Tutunculer   Steven C. Leiser   Karen A. Moxon     481
Model of Mammalian Visual System with Optical Logic Cells   J. A. Martin-Pereda   A. Gonzalez Marcos     495
CNS Reorganization during Sensory-Supported Treadmill Training   I. Cikajlo, Z. Matjacic   T. Bajd     509
Independent Component Analysis of Surface EMG for Detection of Single Motoneurons Firing in Voluntary Isometric Contraction   Gonzalo A. Garcia   Ryuhei Okuno   Kenzo Akazawa     519
Recent Advances in Composite AEP/EEG Indices for Estimating Hypnotic Depth During General Anesthesia?   Erik Weber Jensen   Pablo Martinez   Hector Litvan   Hugo Vereecke   Bernardo Rodriguez   Michel M. R. F. Struys     535
ENG Recording Amplifier Configurations for Tripolar Cuff Electrodes   I. F. Triantis   A. Demosthenous   M. S. Rahal   N. Donaldson      555
Cable Equation Model for Myelinated Nerve Fiber   P. D. Einziger   L. M. Livshitz   J. Mizrahi     569
Bayesian Networks for Modeling Cortical Integration   Paul Sajda   Kyungim Baek   Leif Finkel     585
Normal and Abnormal Auditory Information Processing Revealed by Nonstationary Signal Analysis of EEG   Ben H. Jansen   Anant Hegde   Jacob Ruben   Nashaat N. Boutros     601
Probing Oscillatory Visual Dynamics at the Perceptual Level   H. Fotowat   H. Ogmen   H. E. Bedell   B. G. Breitmeyer     615
Nonlinear Approaches to Learning and Memory   Klaus Lehnertz     627
Single-Trial Analysis of EEG for Enabling Cognitive User Interfaces   Adam D. Gerson   Lucas C. Parra   Paul Sajda     635
Index     651
About the Editor     663
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