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Neural Engineering


Neural Engineering
Author: Bin He
Publisher: Springer
ISBN: 9781489978875
Size: 56.13 MB
Format: PDF, ePub, Mobi
View: 638
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Neural Engineering, 2nd Edition, 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. 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.




Neural Engineering Techniques For Autism Spectrum Disorder


Neural Engineering
Author: Ayman S. El-Baz
Publisher: Academic Press
ISBN: 0128230657
Size: 75.39 MB
Format: PDF
View: 1737
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Neural Engineering for Autism Spectrum Disorder, Volume One: Imaging and Signal Analysis Techniques presents the latest advances in neural engineering and biomedical engineering as applied to the clinical diagnosis and treatment of Autism Spectrum Disorder (ASD). Advances in the role of neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, social behaviors and suitable data analytics useful for clinical diagnosis and research applications for Autism Spectrum Disorder are covered, including relevant case studies. The application of brain signal evaluation, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals are presented for detection and estimation of the degree of ASD. Presents applications of Neural Engineering and other Machine Learning techniques for the diagnosis of Autism Spectrum Disorder (ASD) Includes in-depth technical coverage of imaging and signal analysis techniques, including coverage of functional MRI, neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, and neuroanatomy of autism Covers Signal Analysis for the detection and estimation of Autism Spectrum Disorder (ASD), including brain signal analysis, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals for ASD Written to help engineers, computer scientists, researchers and clinicians understand the technology and applications of Neural Engineering for the detection and diagnosis of Autism Spectrum Disorder (ASD)




Handbook Of Neural Engineering


Neural Engineering
Author: Metin Akay
Publisher: John Wiley & Sons
ISBN: 0470068280
Size: 72.35 MB
Format: PDF, ePub, Mobi
View: 6778
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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




Issues In Biomedical Engineering Research And Application 2011 Edition


Neural Engineering
Author:
Publisher: ScholarlyEditions
ISBN: 1464964548
Size: 42.96 MB
Format: PDF, Docs
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Issues in Biomedical Engineering Research and Application: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Biomedical Engineering Research and Application. The editors have built Issues in Biomedical Engineering Research and Application: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Biomedical Engineering Research and Application in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Biomedical Engineering Research and Application: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.




Neural Engineering


Neural Engineering
Author: Chris Eliasmith
Publisher: MIT Press
ISBN: 9780262550604
Size: 27.11 MB
Format: PDF, ePub
View: 7303
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A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.



Neural Engineering
Language: en
Pages: 812
Authors: Bin He
Categories:
Type: BOOK - Published: 2016-05-01 - Publisher: Springer
Neural Engineering, 2nd Edition, 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. This principles and applications approach to neural engineering is essential reading for
Neural Engineering
Language: en
Pages: 356
Authors: Chris Eliasmith, Charles H. Anderson
Categories: Medical
Type: BOOK - Published: 2003 - Publisher: MIT Press
A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.
Handbook of Neural Engineering
Language: en
Pages: 800
Authors: Metin Akay
Categories: Medical
Type: BOOK - Published: 2007-01-09 - Publisher: John Wiley & Sons
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
Neural Engineering
Language: en
Pages: 699
Authors: Bin He
Categories: Medical
Type: BOOK - Published: 2020-09-21 - Publisher: Springer Nature
This third edition overviews the essential contemporary topics of neuroengineering, from basic principles to the state-of-the-art, and is written by leading scholars in the field. The book covers neural bioelectrical measurements and sensors, EEG signal processing, brain-computer interfaces, implantable and transcranial neuromodulation, peripheral neural interfacing, neuroimaging, neural modelling, neural circuits
Neural Engineering
Language: en
Pages: 306
Authors: Lijie Grace Zhang, David L. Kaplan
Categories: Technology & Engineering
Type: BOOK - Published: 2016-06-29 - Publisher: Springer
This book covers the principles of advanced 3D fabrication techniques, stem cells and biomaterials for neural engineering. Renowned contributors cover topics such as neural tissue regeneration, peripheral and central nervous system repair, brain-machine interfaces and in vitro nervous system modeling. Within these areas, focus remains on exciting and emerging technologies