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.

Current Research in Neuroadaptive Technology provides readers with insight into the state-of-the-art field of neuroadaptive technology. The book covers the breadth and depth of current research in this field, covering a range of application domains in sufficient technical detail. The multidisciplinary character of this field means that the publication of key research is often fragmented across specialist journals. Here, the editors have consolidated current research, carefully selecting key topics that are clustered around the concept of neuroadaptive technology. In summary, the book meets the needs of readers by consolidating multidisciplinary research around a nascent technological concept. The topic of neuroadaptive technology is novel and contemporary and editors Dr. Stephen H. Fairclough and Dr. Thorsten O. Zander have captured issues related to this emerging technology at the point of inception. It is a key reference for biomedical engineers and researchers in neural engineering, biomedical engineering, computer science, and mathematics. - Includes applications of neuroadaptive technology in a variety of disciplines - Comprises in-depth technical coverage of Passive Brain-Computer Interfaces, Physiological Computing, Affective Computing, Neurofeedback, and Closed-Loop Human-Computer Interaction - Covers topics such as monitoring safety-critical behaviour, brain-computer interfaces, neurofeedback, virtual reality, neurostimulation, tangible interfaces, mobile brain-body imaging, system taxonomy and ethical implications of neuroadaptive technology - Covers applied research using techniques such as: EEG, fNIRS, eye-tracking, psychophysiology, spontaneous radio frequency transmission and tDCS - Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and its applications

Current Research in Neuroadaptive Technology provides readers with insight into the state-of-the-art field of neuroadaptive technology. The book covers the breadth and depth of current research in this field, covering a range of application domains in sufficient technical detail. The multidisciplinary character of this field means that the publication of key research is often fragmented across specialist journals. Here, the editors have consolidated current research, carefully selecting key topics that are clustered around the concept of neuroadaptive technology. In summary, the book meets the needs of readers by consolidating multidisciplinary research around a nascent technological concept. The topic of neuroadaptive technology is novel and contemporary and editors Dr. Stephen H. Fairclough and Dr. Thorsten O. Zander have captured issues related to this emerging technology at the point of inception. It is a key reference for biomedical engineers and researchers in neural engineering, biomedical engineering, computer science, and mathematics. Includes applications of neuroadaptive technology in a variety of disciplines Comprises in-depth technical coverage of Passive Brain-Computer Interfaces, Physiological Computing, Affective Computing, Neurofeedback, and Closed-Loop Human-Computer Interaction Covers topics such as monitoring safety-critical behaviour, brain-computer interfaces, neurofeedback, virtual reality, neurostimulation, tangible interfaces, mobile brain-body imaging, system taxonomy and ethical implications of neuroadaptive technology Covers applied research using techniques such as: EEG, fNIRS, eye-tracking, psychophysiology, spontaneous radio frequency transmission and tDCS Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and its applications

This book constitutes the refereed proceedings of the 6th International Conference on Augmented Cognition, FAC 2011, held in Orlando, FL, USA in July 2011, within the framework of the 14th International Conference on Human-Computer Interaction, HCII 2011, with 11 other thematically similar conferences. The 75 full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical parts on theories, models, and technologies for augmented cognition; neuroscience and brain monitoring; augmented cognition, social computing, and collaboration; augmented cognition for learning; augmented cognition and interaction; and augmented cognition in complex environments.

This book presents the proceedings of the NeuroIS Retreat 2021, June 1-3, virtual conference, reporting on topics at the intersection of information systems (IS) research, neurophysiology and the brain sciences. Readers will discover the latest findings from top scholars in the field of NeuroIS, which offer detailed insights on the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as the application of neuroscience and neurophysiological theories to advance IS theory.

This book presents some recent specialized works of a theoretical study in the domain of adaptive neuro-fuzzy inference systems (ANFIS) for specialists, engineers, professors, and students. It includes five chapters that present new fuzzy systems concepts and promotes them for practical applications, including control of tillage depth, solar radiation prediction, control of power systems, and dynamics of macroeconomic systems. The studies published in the book, through scientific achievements of high-level analysis and design, develop new applications that demonstrate the capabilities of ANFIS. The authors present examples and case studies from their research, providing new solutions and answers to questions related to the emerging concepts and applications of ANFIS.