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Full Description
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.
Contents
Section I Approaches to Understanding of the Neural Network's Functions: Psychological Constructs versus Neural Mechanisms: Different Perspectives for Advanced Research of Cognitive Processes and Development of Neuroadaptive Technologies. The Neural Cybernetics of Executive Control and Learning. A New Neural Framework for Adaptive and Maladaptive Behaviors in Changeable and Demanding Environments. Object Perception versus Target-Directed Manual Actions. The Neural Control of Visually Guided Eye Movements. Sleep Deprivation and Error Negativity: A Review and Reappraisal. Section II Neuroadaptive Systems: Challenges and Applications: Augmenting Human Performance. Electroencephalographic Metrics of Workload and Learner Engagement. Brain-Computer Interfaces: Effects on Brain Activation and Behavior. Neuroadaptive Systems: Challenges and Opportunities in Creating Symbiotic Relationships between Humans and the Machines They Use. Eye-Tracking Data Analysis and Neuroergonomics. Potential Applications of Systems Modeling Language and Systems Dynamics to Simulate and Model Complex Human Brain Functions. Neuroethics: Considerations for a Future Embedded with Neurotechnology. Index.
