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Methods in Mind book pdf download

Auther : Michael Gazzaniga
Section : General Medicine
Department : Medicine
Size of file : 3.36MB
Number of Pages : 395
Date of Coming : 2022-08-10
book quality : Good
Language : English

Author: Michael Gazzaniga

About the Author: Michael S. Gazzaniga (born December 12, 1939) is a professor of psychology at the University of California, Santa Barbara in the USA, where he heads the new SAGE Center for the Study of the Mind. He is one of the leading researchers in cognitive neuroscience, the study of the neural basis of mind. He is a member of the American Academy of Arts & Sciences, the Institute of Medicine, and the National Academy of Sciences.

Methods in Mind book pdf download By Michael Gazzaniga

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

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