Neuroadaptive systems : theory and applications

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.

Author Notes

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.

Joanna Trzopek and Magdalena Fafrowicz and Tadeusz Marek and Waldemar KarwowskiPhan Luu and Don M. Tucker and Catherine PaulsenKoryna Lewandowska and Barbara Wachowicz and Ewa Beldzik and Aleksandra Domagalik and Magdalena Fafrowicz and Justyna Mojsa-Kaja and Halszka Oginska and Tadeusz MarekGregory Króliczak and Cristiana Cavina-Pratesi and Mary-Ellen LargePeter H. SchillerShulan HsiehKay M. StanneyCarryl L. Baldwin and Joseph T. Coyne and James ChristensenSonja C. Kleih and Steve Lukito and Andrea KüblerJoseph V. Cohn and Tracey L. WheelerHeiner Bubb and Martin WohlfarterWaldemar Karwowski and Tareq Z. Ahram and Chris Andrzejczak and Magdalena Fafrowicz and Tadeusz MarekJoseph R. Keebler and Grant Taylor and Elizabeth Phillips and Scott Ososky and Lee W. Sciarini

Preface	p. vii
Editors	p. ix
Contributors	p. xi
Section I Approaches to Understanding the Neural Network's Functions
1 Psychological Constructs versus Neural Mechanisms: Different Perspectives for Advanced Research of Cognitive Processes and Development of Neuroadaptive Technologies	p. 3
2 Neural Cybernetics of Executive Control and Learning	p. 33
3 A New Neural Framework for Adaptive and Maladaptive Behaviors in Changeable and Demanding Environments	p. 43
4 Object Perception versus Target-Directed Manual Actions	p. 69
5 Neural Control of Visually Guided Eye Movements	p. 97
6 Sleep Deprivation and Error Negativity: A Review and Reappraisal	p. 139
Section II Neuroadaptive Systems: Challenges and Applications
7 Augmenting Human Performance	p. 167
8 Electroencephalographic Metrics of Workload and Learner Engagement	p. 183
9 Brain-Computer Interfaces: Effects on Brain Activation and Behavior	p. 203
10 Neuroadaptive Systems: Challenges and Opportunities in Creating Symbiotic Relationships between Humans and the Machines They Use	p. 239
11 Eye-Tracking Data Analysis and Neuroergonomics	p. 255
12 Potential Applications of Systems Modeling Language and Systems Dynamics to Simulate and Model Complex Human Brain Functions	p. 311
13 Neuroethics: Considerations for a Future Embedded with Neurotechnology	p. 333
Index	p. 351

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Table of Contents