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Cognitive Enhancement: Pharmacologic, Environmental and Genetic Factors addresses the gap that exists in research on the topic, gathering multidisciplinary knowledge and tools that help the reader understand the basics of cognitive enhancement. It also provides assistance in designing procedures and pharmacological approaches to further the use of novel cognitive enhancers, a field that offers potential benefit to a variety of populations, including those with neurologic and psychiatric disorders, mild aging-related cognitive impairment, and those who want to improve intellectual performance. The text builds on our knowledge of the molecular/cellular basis of cognitive function, offering the technological developments that may soon enhance cognition. Separate sections cover enhancement drugs, environmental conditions, and genetic factors in terms of both human and animal studies, including both healthy/young and aging/diseased individuals. - Provides a multidisciplinary knowledge, enabling a further understanding of cognitive enhancement - Offers coverage of the pharmacologic, environmental, and genetic factors relevant to the topic - Discusses cognitive enhancement from the perspective of both healthy and diseased or aging populations - Topics are discussed in terms of both human and animal studies
Research on intentional forgetting has been conducted in various forms and under various names for at least 30 years, but until now no effort has been made to present these different perspectives in one place. Comprising both review chapters and new empirical studies, this book brings together the many research paradigms investigating intentional forgetting, thereby highlighting the commonalities that link these seemingly disparate areas of research. It serves as a "case study" of one phenomenon in memory--the intention to forget or to modify memory. Why is research on intentional forgetting important? It helps to increase the understanding of how memory functions, especially with regard to its updating. In William James' "booming, buzzing confusion," we frequently are unable to adequately process all of the information that we experience; on-line forgetting of some information is necessary. Moreover, we must often replace existing information with new information, as when someone we know relocates and acquires a new address and telephone number. Investigating this updating ability has been the main thrust of research on intentional forgetting, specifically those studies on the directed forgetting phenomenon. Cognitive experiments on directed forgetting have shown that we are able to deal more effectively with large amounts of information by following instructions to treat some of the information as "to be forgotten." In this way, interference is reduced and we are able to devote all of our resources to the remaining to-be-remembered information. The mechanisms that lead to this reduction continue to promote new experiments, but over a quarter century of research maintains that the directed forgetting effect is robust.
Basic Electrophysiological Methods provides a concise and easy-to-read guide on a selection of the most important contemporary electrophysiological techniques, their implementation, applications, and ways in which they can be combined and integrated with neuroscientific techniques. Intended for students, postdocs, and faculty with a basic neuroscience background, this text will not obscure the relevant technical details with textbook neuroscience tutorials as many other books do. Instead, each chapter provides a conscientious overview of the underlying theory -- a comprehensive description of equipment, materials, methods, data management, and analysis -- a troubleshooting guide, and a list of frequently asked questions. No book or online resource can function as strictly a DIY set of instructions on how to implement a complex technique. However, this book provides a fundamental and accessible set of information intended to form a foundation prior to, during, and after hands-on experience and training, greatly facilitating the initial learning process and subsequent fine-tuning of technical details.
Neuroscientific research on emotion has developed dramatically over the past decade. The cognitive neuroscience of human emotion, which has emerged as the new and thriving area of 'affective neuroscience', is rapidly rendering existing overviews of the field obsolete. This handbook provides a comprehensive, up-to-date and authoritative survey of knowledge and topics investigated in this cutting-edge field. It covers a range of topics, from face and voice perception to pain and music, as well as social behaviors and decision making. The book considers and interrogates multiple research methods, among them brain imaging and physiology measurements, as well as methods used to evaluate behavior and genetics. Editors Jorge Armony and Patrik Vuilleumier have enlisted well-known and active researchers from more than twenty institutions across three continents, bringing geographic as well as methodological breadth to the collection. This timely volume will become a key reference work for researchers and students in the growing field of neuroscience.
Where do spontaneous thoughts come from? It may be surprising that the seemingly straightforward answers "from the mind" or "from the brain" are in fact an incredibly recent understanding of the origins of spontaneous thought. For nearly all of human history, our thoughts - especially the most sudden, insightful, and important - were almost universally ascribed to divine or other external sources. Only in the past few centuries have we truly taken responsibility for their own mental content, and finally localized thought to the central nervous system - laying the foundations for a protoscience of spontaneous thought. But enormous questions still loom: what, exactly, is spontaneous thought? Why does our brain engage in spontaneous forms of thinking, and when is this most likely to occur? And perhaps the question most interesting and accessible from a scientific perspective: how does the brain generate and evaluate its own spontaneous creations? Spontaneous thought includes our daytime fantasies and mind-wandering; the flashes of insight and inspiration familiar to the artist, scientist, and inventor; and the nighttime visions we call dreams. This Handbook brings together views from neuroscience, psychology, philosophy, phenomenology, history, education, contemplative traditions, and clinical practice to begin to address the ubiquitous but poorly understood mental phenomena that we collectively call 'spontaneous thought.' In studying such an abstruse and seemingly impractical subject, we should remember that our capacity for spontaneity, originality, and creativity defines us as a species - and as individuals. Spontaneous forms of thought enable us to transcend not only the here and now of perceptual experience, but also the bonds of our deliberately-controlled and goal-directed cognition; they allow the space for us to be other than who we are, and for our minds to think beyond the limitations of our current viewpoints and beliefs.
The Oxford Handbook of Event-Related Potential Components provides a detailed and comprehensive overview of the major ERP components. It covers components related to multiple research domains, including perception, cognition, emotion, neurological and psychiatric disorders, and lifespan development.
Designing EEG Experiments for Studying the Brain: Design Code and Example Datasets details the design of various brain experiments using electroencephalogram (EEG). Providing guidelines for designing an EEG experiment, it is primarily for researchers who want to venture into this field by designing their own experiments as well as those who are excited about neuroscience and want to explore various applications related to the brain. The first chapter describes how to design an EEG experiment and details the various parameters that should be considered for success, while remaining chapters provide experiment design for a number of neurological applications, both clinical and behavioral. As each chapter is accompanied with experiment design codes and example datasets, those interested can quickly design their own experiments or use the current design for their own purposes. Helpful appendices provide various forms for one's experiment including recruitment forms, feedback forms, ethics forms, and recommendations for related hardware equipment and software for data acquisition, processing, and analysis. - Written to assist neuroscientists in experiment designs using EEG - Presents a step-by-step approach to designing both clinical and behavioral EEG experiments - Includes experiment design codes and example datasets - Provides inclusion and exclusion criteria to help correctly identify experiment subjects and the minimum number of samples - Includes appendices that provide recruitment forms, ethics forms, and various subjective tests associated with each of the chapters
In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis. - An essential reference and companion for users of the SPM software - Provides a complete description of the concepts and procedures entailed by the analysis of brain images - Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data - Stands as a compendium of all the advances in neuroimaging data analysis over the past decade - Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes - Structured treatment of data analysis issues that links different modalities and models - Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible