Handbook of Neural Engineering
(Sprache: Englisch)
The Handbook of Neural Engineering provides the theoretical foundations and current applications from the leading researchers in this emerging new field. It focuses on the brain computer interface, nano neural engineering, neural prostheses, imaging the...
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The Handbook of Neural Engineering provides the theoretical foundations and current applications from the leading researchers in this emerging new field. It focuses on the brain computer interface, nano neural engineering, neural prostheses, imaging the brain, neural signal processing, the brain and neurons. .
Klappentext zu „Handbook of Neural Engineering “
An important new work establishing a foundation for future developments in neural engineeringThe 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
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
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
Inhaltsverzeichnis zu „Handbook of Neural Engineering “
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
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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.
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.
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Autoren-Porträt von Akay
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.
Bibliographische Angaben
- Autor: Akay
- 2007, 1. Auflage, 688 Seiten, Maße: 18,3 x 26 cm, Gebunden, Englisch
- Herausgegeben: Metin Akay
- Verlag: Wiley & Sons
- ISBN-10: 047005669X
- ISBN-13: 9780470056691
- Erscheinungsdatum: 20.12.2006
Sprache:
Englisch
Rezension zu „Handbook of Neural Engineering “
"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)
Pressezitat
"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 )
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