Broadly defined as the science and technology of systems responding to neural processes in the brain, neuroadaptive systems (NASs) has become a rapidly developing area of study. One of the first books available in this emerging area, Neuroadaptive Systems: Theory and Applications synthesizes knowledge about human behavior, cognition, neural processing, and technology and how it can be used to optimize the design, development, modeling, simulation, and applications of complex neuro-based systems.

Balancing coverage of theory and applications, the book examines the general aims of NASs and how neurogenomics can be applied in training applications. It includes important results and findings gathered from approximately two decades of brain computer interaction research. But more than this, the book details the underlying rationale for using NASs compared to other kinds of human-machine systems and raises questions and concerns about budding neuro-scientific areas that gives insight into the way humans may interact with neuro-technological systems in the future.

With contributions from international professionals and researchers, this book presents state-of-the-art developments in neuroscience, human factors, and brain activity measurement. Packed with models, case studies, research results, and illustrations, it discusses approaches to understanding the functions of neuronal networks, and then explores challenges and applications of neuroadaptive systems. It provides tools for future development and the theory to support it.

Features

• Discusses Neuroscience and Human Factors
• Includes brain activity measurement
• Shows the neuronal perspective of driving and safety
• Presents neural mechanisms of control of mental fatigue
• Covers neuro-robot interfaces

“I am deeply convinced that the approach and selection of topics of this book is appropriate for audiences interested in several areas; from psychology and neurophysiology to biocybernetics, because of the range of questions related to the mechanisms of behavior and the possibilities of using this knowledge in cybernetics modeling. … unique in its integration of cognitive and behavioral psychology with neurology and new biocybernetics perspectives. …”
—Danuta Koradecka, Central Institute for Labour Protection – National Research Institute, Warsaw, Poland

“… an excellent overview of the fast growing field of NAS with the advances in cognitive neuroscience, neuroimaging methods, and computational and sensor technologies. It outlines and describes contemporary research findings and the implications of Neuroadaptive technologies with insights into the cutting edge of the field. It provides graduate students and professionals references and tools for this rapidly developing field.”
—Patrick Rau, Director, Institute of Human Factors and Ergonomics, Department of Industrial Engineering, Tsinghua University, Beijing, China

“… a useful review of the emerging area of neuroadaptive systems. It is increasingly clear that theories and empirical findings from neuroscience can inform the development and evaluation of new technologies to support human workers, as evidenced by the growth of the field of neuroergonomics. This volume follows in this trend and shows that systems that provide support to human operators adaptively can be made more effective if they include a neuroscience perspective.”
—Raja Parasuraman, George Mason University, Fairfax, Virginia, USA

Magdalena Fafrowicz (PhD) is an assistant professor at the Institute of Applied Psychology, Department of Neuroergonomics, Jagiellonian University, Krakow, Poland.

Tadeusz Marek is professor of psychology at Jagiellonian University in Krakow (Chairman of the Department of Neuroergonomics and Chair of Ergonomics & Management Psychology) and at Warsaw School of Psychology in Warsaw.

Waldemar Karwowski, P.E. is Professor and Chair of the Industrial Engineering and Management Systems Department at the University of Central Florida, Orlando. He holds an M.S. (1978) in Production Engineering and Management from the Technical University of Wroclaw, Poland, and a Ph.D. (1982) in Industrial Engineering from Texas Tech University.