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Full Description
Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human-machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions. To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics. Volume 1 provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions.
Contents
1. Introduction to Signal Processing Strategies: Neurocircuitry and Neuroprosthetics
Part I: Disrupting Neurocircuitry
2. Disrupting disordered neurocircuitry: treating refractory psychiatric illness with neuromodulation
3. Glutamate neurocircuitry
4. The neurocircuitry of emotion regulation
5. Neurocircuitry of stress integration
6. Neurocircuitry of disgust and anxiety in obsessive-compulsive disorder
7. Role of basal ganglia neurocircuitry in the pathology of psychiatric disorders
Part II: Neural Signal Processing & Data Analysis
8. Comparison of linear signal processing techniques to infer directed interactions in multivariate neural systems
9. Neural networks for intelligent signal processing
10. A comprehensive review of EEG-based brain-computer interface paradigms
11. EEG-based brain-computer interface for tetraplegics
12. EEG signal processing in anaesthesia
13. Neural networks for intelligent signal processing
Part III: Neuroprosthetics Applications
14. Extracting wavelet based neural features from human intracortical recordings for neuroprosthetics applications
15. Neuroprosthetics: Principles and Applications
16. Neuroprosthetic applications of electrical stimulation
17. Evaluation of a compact hybrid brain-computer interface system
18. State-of-the-art of Neuroprosthetics
19. Brain-machine interfaces beyond neuroprosthetics
20. Neuroprosthetic applications of electrical stimulation
