Handbook of Neural Engineering (eBook, PDF)

Redaktion: Akay, Metin

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 688
• Erscheinungstermin: 20. August 2007
• Englisch
• ISBN-13: 9780470068281
• Artikelnr.: 37289961

Autorenporträt

Metin Akay, PhD, is an interim chair and Professor of Bioengineering in the Harrington Department of Bioengineering at Arizona State University (ASU). He is Editor of the IEEE Press Series on Biomedical Engineering and the author, coauthor, or editor of fourteen books. His current research interests at the ASU Neural Engineering and Informatics, Wearable Technology, and Sensors Labs include the dynamics of motor function in Parkinson and post-stroke disease subjects, and the effect of developmental abnormalities and maturation on the dynamics of respiration.

Inhaltsangabe

Preface. Contributors. Part I: Neural Signal and Image Processing and
Modeling. Chapter 1: Optimal Signal Processing for Brain-Machine
Interfaces. Chapter 2: Modulation of Electrophysiological Activity in
Neural Networks: Toward a Bioartificial Living System. Chapter 3:
Estimation of Posterior Probabilities with Neural Networks: Application to
Microcalcification Detection in Breast Cancer Diagnosis. Chapter 4:
Identification of Central Auditory Processing Disorders by Binaurally
Evoked Brainstem Responses. Chapter 5: Functional Characterization of
Adaptive Visual Encoding. Chapter 6: Deconvolution of Overlapping Auditory
Brainstem Responses Obtained at High Stimulus Rates. Chapter 7: Autonomic
Cardiac Modulation at Sinoatrial and Atrioventricular Nodes: Observations
and Models. Chapter 8: Neural Networks and Time-Frequency Analysis of
Surface Electromyographic Signals for Muscle Cerebral Control. Chapter 9:
Multiresolution Fractal Analysis of Medical Images. Chapter 10: Methods for
Neural-Network-Based Segmentation of Magnetic Resonance Images. Chapter 11:
High-Resolution Eeg and Estimation of Cortical Activity for Brain-Computer
Interface Applications Chapter 12: Estimation of Cortical Sources Related
to Short-Term Memory in Humans with Highresolution Eeg Recordings and
Statistical Probability Mapping. Chapter 13: Exploring Semantic Memory
Areas by Functional Mri. Part II: Neuro-Nanotechnology: Artificial Implants
and Neural Protheses. Chapter 14: Restoration of Movement by Implantable
Neural Motor Prostheses. Chapter 15: Hybrid Olfactory Biosensor Using
Multichannel Electroantennogram: Design and Application. Chapter 16:
Reconfigurable Retina-Like Preprocessing Platform for Cortical Visual
Neuroprostheses. Chapter 17: Biomimetic Integration of Neural and Acoustic
Signal Processing. Chapter 18: Retinal Image and Phosphene Image: An
Analogy. Chapter 19: Brain-Implantable Biomimetic Electronics as Neural
Prostheses to Restore Lost Cognitive Function. Chapter 20: Advances in
Retinal Neuroprosthetics. Chapter 21: Towards a Cultured Neural Probe:
Patterning of Networks and Their Electrical Activity. Chapter 22: Spike
Superposition Resolution in Multichannel Extracellular Neural Recordings: A
Novel Approach. Chapter 23: Toward a Button-Sized 1024-Site Wireless
Cortical Microstimulating Array. Chapter 24: Practical Considerations in
Retinal Neuroprosthesis Design. Part III: Neurorobotics and Neural
Rehabilation Engineering. Chapter 25: Interfacing Neural and Artificial
Systems: From Neuroengineering to Neurorobotics. Chapter 26:
Neurocontroller for Robot Arms Based on Biologically Inspired Visuomotor
Coordination Neural Models. Chapter 27: Muscle Synergies for Motor Control.
Chapter 28: Robots with Neural Building Blocks Chapter 29: Decoding Sensory
Stimuli From Populations of Neurons: Methods for Long-Term Longitudinal
Studies Chapter 30: Model of Mammalian Visual System with Optical Logic
Cells. Chapter 31: Cns Reorganization During Sensory-Supported Treadmill
Training. Chapter 32: Independent Component Analysis of Surface Emg for
Detection of Single Motoneurons Firing in Voluntary Isometric Contraction.
Chapter 33: Recent Advances in Composite Aep/Eeg Indices for Estimating
Hypnotic Depth During General Anesthesia?. Chapter 34: Eng Recording
Amplifier Configurations for Tripolar Cuff Electrodes. Chapter 35: Cable
Equation Model for Myelinated Nerve Fiber. Chapter 36: Bayesian Networks
for Modeling Cortical Integration. Chapter 37: Normal and Abnormal Auditory
Information Processing Revealed by Nonstationary Signal Analysis of Eeg.
Chapter 38: Probing Oscillatory Visual Dynamics at the Perceptual Level.
Chapter 39: Nonlinear Approaches to Learning and Memory. Chapter 40:
Single-Trial Analysis of Eeg for Enabling Cognitive User Interfaces. Index.
About the Editor.

Rezensionen

"This handbook is an excellent and informative technical reference for researchers and undergraduate students with a basic background in electrical or biomedical engineering." ( IEEE Engineering in Medicine and Biology Magazine , January/February 2009) " a comprehensive summary of the latest trends and is an essential resource for researchers in this field." ( Journal of the American Medical Association , August 22/29, 2007) " very useful for those already working in the discipline. It fills a void in the pertinent literature; there are few works that compare." ( Doody s Book Reviews ) "This is a good quality book useful as a current survey and resource for ideas, and the state of the art." ( Doody s Book Reviews ) "...useful as a current survey and resource for ideas, and the state of the art." ( Doody s Health Services )