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"A unique and important resource, full of critical practical knowledge and technical details made readily accessible." - Tiffany Ito, University of Colorado at Boulder "A comprehensive and engaging guide to EEG methods in social neuroscience; Dickter and Kiefabber offer practical details for conducting EEG research in a social/personality lab, with a broad perspective on how neuroscience can inform psychology. This is a unique and invaluable resource - a must-have for scientists interested in the social brain." - David M. Amodio, New York University Electroencephalography (EEG) has seen a dramatic increase in application as a research tool in the psychological sciences in recent years. This book provides an introduction to the technology and techniques of EEG in the context of social and cognitive neuroscience research that will appeal to investigators (students or researchers) wishing to broaden their research aims to include EEG, and to those already using EEG but wishing to expand their analytic repertoire. It can also serve as a textbook for a postgraduate course or upper-level undergraduate course in any area of behavioural neuroscience. The book provides an introduction to the theory, technology, and techniques of EEG data analysis along with the practical skills required to engage this popular technology. Beginning with a background in the neural origins and physical principles involved in recording EEG, readers will also find discussions of practical considerations regarding the recording of EEG in humans as well as tips for the configuration of an EEG laboratory. The analytic methods covered include event-related brain potentials (ERPs), spectral asymmetry, and time-frequency analyses. A conceptual background and review of domain-specific applications of the method is provided for each type of analysis. There's also comprehensive guided analysis for each analytic method that includes tutorial-style instruction and sample datasets. This book is perfect for advanced students and researchers in the psychological sciences and related disciplines who are using EEG in their research.
Changes in the neurological functions of the human brain are often a precursor to numerous degenerative diseases. Advanced EEG systems and other monitoring systems used in preventive diagnostic procedures incorporate innovative features for brain monitoring functions such as real-time automated signal processing techniques and sophisticated amplifiers. Highlighting the US, Europe, Australia, New Zealand, Japan, Korea, China, and many other areas, EEG/ERP Analysis: Methods and Applications examines how researchers from various disciplines have started to work in the field of brain science, and explains the different techniques used for processing EEG/ERP data. Engineers can learn more about the clinical applications, while clinicians and biomedical scientists can familiarize themselves with the technical aspects and theoretical approaches. This book explores the recent advances involved in EEG/ERP analysis for brain monitoring, details successful EEG and ERP applications, and presents the neurological aspects in a simplified way so that those with an engineering background can better design clinical instruments. It consists of 13 chapters and includes the advanced techniques used for signal enhancement, source localization, data fusion, classification, and quantitative EEG. In addition, some of the chapters are contributed by neurologists and neurosurgeons providing the clinical aspects of EEG/ERP analysis. Covers a wide range of EEG/ERP applications with state-of-the-art techniques for denoising, analysis, and classification Examines new applications related to 3D display devices Includes MATLAB® codes EEG/ERP Analysis: Methods and Applications is a resource for biomedical and neuroscience scientists who are working on neural signal processing and interpretation, and biomedical engineers who are working on EEG/ERP signal analysis methods and developing clinical instrumentation. It can also assist neurosurgeons, psychiatrists, and postgraduate students doing research in neural engineering, as well as electronic engineers in neural signal processing and instrumentation.
A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings.
The field of health psychology has exploded in the last decade due to progress identifying physiological mechanisms by which psychological, social, and behavioral factors can put people's health and well-being at risk. The Handbook of Physiological Research Methods in Health Psychology provides thorough, state-of-the-art, and user-friendly coverage of basic techniques for measurement of physiological variables in health psychology research. It is designed to serve as a primary reference source for researchers and students interested in expanding their research to consider a biopsychosocial approach. Chapters addressing key physiological measures have been written by international experts with an eye towards documenting essential information that must be considered in order to accurately and reliably measure biological samples. The book is not intended to be a lab manual of specific biomedical techniques, nor is it intended to provide extensive physiological or anatomical information. Rather, it takes the approach most useful for a non-specialist who seeks guidance on how and when to collect biological measures but who will have the actual samples assayed elsewhere. The Handbook can be thought of as a primer or a gateway book for researchers new to the area of physiological measurement and for readers who would like to better understand the meaning of physiological measures they encounter in research reports.
When I began to study psychology a half century ago, it was defined as "the study of behavior and experience." By the time I completed my doctorate, shortly after the end of World War II, the last two words were fading rapidly. In one of my first graduate classes, a course in statistics, the professor announced on the first day, "Whatever exists, exists in some number." We dutifully wrote that into our notes and did not pause to recognize that thereby all that makes life meaningful was being consigned to oblivion. This bland restructuring-perhaps more accurately, destruction-of the world was typical of its time, 1940. The influence of a narrow scientistic attitude was already spreading throughout the learned disciplines. In the next two decades it would invade and tyrannize the "social sciences," education, and even philosophy. To be sure, quantification is a powerful tool, selectively employed, but too often it has been made into an executioner's axe to deny actuality to all that does not yield to its procrustean demands.
Human behavior forms the nucleus of military effectiveness. Humans operating in the complex military system must possess the knowledge, skills, abilities, aptitudes, and temperament to perform their roles effectively in a reliable and predictable manner, and effective military management requires understanding of how these qualities can be best provided and assessed. Scientific research in this area is critical to understanding leadership, training and other personnel issues, social interactions and organizational structures within the military. The U.S. Army Research Institute for the Behavioral and Social Sciences (ARI) asked the National Research Council to provide an agenda for basic behavioral and social research focused on applications in both the short and long-term. The committee responded by recommending six areas of research on the basis of their relevance, potential impact, and timeliness for military needs: intercultural competence; teams in complex environments; technology-based training; nonverbal behavior; emotion; and behavioral neurophysiology. The committee suggests doubling the current budget for basic research for the behavioral and social sciences across U.S. military research agencies. The additional funds can support approximately 40 new projects per year across the committee's recommended research areas. Human Behavior in Military Contexts includes committee reports and papers that demonstrate areas of stimulating, ongoing research in the behavioral and social sciences that can enrich the military's ability to recruit, train, and enhance the performance of its personnel, both organizationally and in its many roles in other cultures.
After Piaget moves beyond the harsh critiques of Piaget that have for decades circled among the followers of more popular paradigms such as socio-cultural or cognitivism approaches since Piaget lost his prominence. This collection of essays looks at the achievements of Jean Piaget and how his ideas have advanced long after his death. Piaget should be viewed as a thinker who moved towards the adoption of the dialectical perspective in developmental psychology and influenced many contemporaries. The move towards the creation of new models for psychology continues to be the hallmark of the future. Taking the qualitative synthesis of new forms seriouslywas central to Piaget's legacy. The School of Geneva has made possible a variety of empirical extensions of Piaget's general ideas by his students and exemplified the heterogeneity of research traditions that have come into existence. This cutting edge work brings together new developments of ideas and research practices that have grown out of Piaget's tradition and provides a retrospective glance into the intellectual atmospheres of the different periods at which the contributors encountered Piaget. This book continues the fine innovative tradition in the History and Theory of Psychology series edited by Jaan Valsiner.

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