cognitive neuroscience and neuropsychology

Leaders in the cognitive neurosciences address a variety of topics in the field and reflect on Michael Gazzaniga’s pioneering work and enduring influence.

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A variety of scientific disciplines have set as their task explaining mental activities, recognizing that in some way these activities depend upon our brain. But, until recently, the opportunities to conduct experiments directly on our brains were limited. As a result, research efforts were split between disciplines such as cognitive psychology, linguistics, and artificial intelligence that investigated behavior, while disciplines such as neuroanatomy, neurophysiology, and genetics experimented on the brains of non-human animals. In recent decades these disciplines integrated, and with the advent of techniques for imaging activity in human brains, the term cognitive neuroscience has been applied to the integrated investigations of mind and brain. This book is a philosophical examination of how these disciplines continue in the mission of explaining our mental capacities.

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Over the past forty years much work has assessed how attention modulates perception, but relatively little work has evaluated the role of attention in action. This is despite the fact that recent research indicates that the relation between attention and action is a crucial factor in human performance. Attention in Action provides state-of-the-art discussion of the role of attention in action and of action in constraining attention. The research takes an interdisciplinary approach covering experimental studies of attention and action, neuropsychological studies of patients with impaired action and attention, single cell studies of cross-modal links in attention and action, and brain imaging studies on the underlying neural circuitry. Contributions from prominent international researchers both review the field and present new evidence, making this book an invaluable resource for researchers and therapists alike.

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This book, written by seven leaders in the field, is intended to inform readers at all levels about the growing canon of cognitive neuroscience, and to make clear the many challenges that remain to be solved by the next generation. Chapters begin with a brief introduction and end with a summary; in addition to the narrative text, richly illustrated in full color, each chapter includes boxed material on topics of special interest. Extensive references to useful reviews, important original papers, and books are provided. In addition to an appendix that covers the essentials of neural signaling and an extensive glossary of key terms, each copy comes with Sylvius 4, which includes an interactive tutorial on human neuroanatomy and a digital atlas of human brain structure.

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The evolution of cognitive neuroscience has been spurred by the development of increasingly sophisticated investigative techniques to study human cognition. In Methods in Mind, experts examine the wide variety of tools available to cognitive neuroscientists, paying particular attention to the ways in which different methods can be integrated to strengthen empirical findings and how innovative uses for established techniques can be developed. The book will be a uniquely valuable resource for the researcher seeking to expand his or her repertoire of investigative techniques.Each chapter explores a different approach. These include transcranial magnetic stimulation, cognitive neuropsychiatry, lesion studies in nonhuman primates, computational modeling, psychophysiology, single neurons and primate behavior, grid computing, eye movements, fMRI, electroencephalography, imaging genetics, magnetoencephalography, neuropharmacology, and neuroendocrinology. As mandated, authors focus on convergence and innovation in their fields; chapters highlight such cross-method innovations as the use of the fMRI signal to constrain magnetoencephalography, the use of electroencephalography (EEG) to guide rapid transcranial magnetic stimulation at a specific frequency, and the successful integration of neuroimaging and genetic analysis. Computational approaches depend on increased computing power, and one chapter describes the use of distributed or grid computing to analyze massive datasets in cyberspace. Each chapter author is a leading authority in the technique discussed.Contributors:Peyman Adjamian, Peter A. Bandettini, Mark Baxter, Anthony S. David, James Dobson, Ian Foster, Michael Gazzaniga, Dietmar G. Heinke, Stephen Hall, John M. Henderson, Glyn W. Humphreys, Andreas Meyer-Lindenburg, Venkata Mattay, Elisabeth A. Murray, Gina Rippon, Tamara Russell, Carl Senior, Philip Shaw, Krish D. Singh, Marc A. Sommer, Lauren Stewart, John D. Van Horn, Jens Voeckler, Vincent Walsh, Daniel R. Weinberger, Michael Wilde, Jeffrey Woodward, Robert H. Wurtz, Eun Young Yoon, Yong Zhao Carl Senior, Tamara Russell and Michael S. Gazzaniga

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