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
Author(s): Metin Akay
Series: IEEE Press Series on Biomedical Engineering
Edition: 1
Publisher: Wiley; John Wiley [distributor]
Year: 2007
Language: English
Commentary: 87629
Pages: 681
City: Hoboken, N.J. :, Chichester
Tags: Информатика и вычислительная техника;Искусственный интеллект;Нейронные сети;Научные статьи и сборники
HANDBOOK OF NEURAL ENGINEERING......Page 3
CONTENTS......Page 7
PREFACE......Page 11
CONTRIBUTORS......Page 13
PART I NEURAL SIGNAL AND IMAGE PROCESSING AND MODELING......Page 19
CHAPTER 1 OPTIMAL SIGNAL PROCESSING FOR BRAIN–MACHINE INTERFACES......Page 21
CHAPTER 2 MODULATION OF ELECTROPHYSIOLOGICAL ACTIVITY IN NEURAL NETWORKS: TOWARD A BIOARTIFICIAL LIVING SYSTEM......Page 47
CHAPTER 3 ESTIMATION OF POSTERIOR PROBABILITIES WITH NEURAL NETWORKS: APPLICATION TO MICROCALCIFICATION DETECTION IN BREAST CANCER DIAGNOSIS......Page 59
CHAPTER 4 IDENTIFICATION OF CENTRAL AUDITORY PROCESSING DISORDERS BY BINAURALLY EVOKED BRAINSTEM RESPONSES......Page 77
CHAPTER 5 FUNCTIONAL CHARACTERIZATION OF ADAPTIVE VISUAL ENCODING......Page 99
CHAPTER 6 DECONVOLUTION OF OVERLAPPING AUDITORY BRAINSTEM RESPONSES OBTAINED AT HIGH STIMULUS RATES......Page 119
CHAPTER 7 AUTONOMIC CARDIAC MODULATION AT SINOATRIAL AND ATRIOVENTRICULAR NODES: OBSERVATIONS AND MODELS......Page 129
CHAPTER 8 NEURAL NETWORKS AND TIME–FREQUENCY ANALYSIS OF SURFACE ELECTROMYOGRAPHIC SIGNALS FOR MUSCLE CEREBRAL CONTROL......Page 149
CHAPTER 9 MULTIRESOLUTION FRACTAL ANALYSIS OF MEDICAL IMAGES......Page 175
CHAPTER 10 METHODS FOR NEURAL-NETWORK-BASED SEGMENTATION OF MAGNETIC RESONANCE IMAGES......Page 191
CHAPTER 11 HIGH-RESOLUTION EEG AND ESTIMATION OF CORTICAL ACTIVITY FOR BRAIN–COMPUTER INTERFACE APPLICATIONS......Page 211
CHAPTER 12 ESTIMATION OF CORTICAL SOURCES RELATED TO SHORT-TERM MEMORY IN HUMANS WITH HIGH-RESOLUTION EEG RECORDINGS AND STATISTICAL PROBABILITY MAPPING......Page 219
CHAPTER 13 EXPLORING SEMANTIC MEMORY AREAS BY FUNCTIONAL MRI......Page 229
PART II NEURO–NANOTECHNOLOGY: ARTIFICIAL IMPLANTS AND NEURAL PROTHESES......Page 243
CHAPTER 14 RESTORATION OF MOVEMENT BY IMPLANTABLE NEURAL MOTOR PROSTHESES......Page 245
CHAPTER 15 HYBRID OLFACTORY BIOSENSOR USING MULTICHANNEL ELECTROANTENNOGRAM: DESIGN AND APPLICATION......Page 261
CHAPTER 16 RECONFIGURABLE RETINA-LIKE PREPROCESSING PLATFORM FOR CORTICAL VISUAL NEUROPROSTHESES......Page 285
CHAPTER 17 BIOMIMETIC INTEGRATION OF NEURAL AND ACOUSTIC SIGNAL PROCESSING......Page 299
CHAPTER 18 RETINAL IMAGE AND PHOSPHENE IMAGE: AN ANALOGY......Page 315
CHAPTER 19 BRAIN-IMPLANTABLE BIOMIMETIC ELECTRONICS AS NEURAL PROSTHESES TO RESTORE LOST COGNITIVE FUNCTION......Page 327
CHAPTER 20 ADVANCES IN RETINAL NEUROPROSTHETICS......Page 355
CHAPTER 21 TOWARDS A CULTURED NEURAL PROBE: PATTERNING OF NETWORKS AND THEIR ELECTRICAL ACTIVITY......Page 375
CHAPTER 22 SPIKE SUPERPOSITION RESOLUTION IN MULTICHANNEL EXTRACELLULAR NEURAL RECORDINGS: A NOVEL APPROACH......Page 387
CHAPTER 23 TOWARD A BUTTON-SIZED 1024-SITE WIRELESS CORTICAL MICROSTIMULATING ARRAY......Page 401
CHAPTER 24 PRACTICAL CONSIDERATIONS IN RETINAL NEUROPROSTHESIS DESIGN......Page 419
PART III NEUROROBOTICS AND NEURAL REHABILATION ENGINEERING......Page 437
CHAPTER 25 INTERFACING NEURAL AND ARTIFICIAL SYSTEMS: FROM NEUROENGINEERING TO NEUROROBOTICS......Page 439
CHAPTER 26 NEUROCONTROLLER FOR ROBOT ARMS BASED ON BIOLOGICALLY INSPIRED VISUOMOTOR COORDINATION NEURAL MODELS......Page 451
CHAPTER 27 MUSCLE SYNERGIES FOR MOTOR CONTROL......Page 467
CHAPTER 28 ROBOTS WITH NEURAL BUILDING BLOCKS......Page 485
CHAPTER 29 DECODING SENSORY STIMULI FROM POPULATIONS OF NEURONS: METHODS FOR LONG-TERM LONGITUDINAL STUDIES......Page 499
CHAPTER 30 MODEL OF MAMMALIAN VISUAL SYSTEM WITH OPTICAL LOGIC CELLS......Page 513
CHAPTER 31 CNS REORGANIZATION DURING SENSORY-SUPPORTED TREADMILL TRAINING......Page 527
CHAPTER 32 INDEPENDENT COMPONENT ANALYSIS OF SURFACE EMG FOR DETECTION OF SINGLE MOTONEURONS FIRING IN VOLUNTARY ISOMETRIC CONTRACTION......Page 537
CHAPTER 33 RECENT ADVANCES IN COMPOSITE AEP/EEG INDICES FOR ESTIMATING HYPNOTIC DEPTH DURING GENERAL ANESTHESIA?......Page 553
CHAPTER 34 ENG RECORDING AMPLIFIER CONFIGURATIONS FOR TRIPOLAR CUFF ELECTRODES......Page 573
CHAPTER 35 CABLE EQUATION MODEL FOR MYELINATED NERVE FIBER......Page 587
CHAPTER 36 BAYESIAN NETWORKS FOR MODELING CORTICAL INTEGRATION......Page 603
CHAPTER 37 NORMAL AND ABNORMAL AUDITORY INFORMATION PROCESSING REVEALED BY NONSTATIONARY SIGNAL ANALYSIS OF EEG......Page 619
CHAPTER 38 PROBING OSCILLATORY VISUAL DYNAMICS AT THE PERCEPTUAL LEVEL......Page 633
CHAPTER 39 NONLINEAR APPROACHES TO LEARNING AND MEMORY......Page 645
CHAPTER 40 SINGLE-TRIAL ANALYSIS OF EEG FOR ENABLING COGNITIVE USER INTERFACES......Page 653
INDEX......Page 669
ABOUT THE EDITOR......Page 681
