Handbook of Neural Engineering

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. This is 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 such as Neuro-nanotechnology, artificial implants, and neural prosthesis. It also covers 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.