Methods in Mind
Raessens, Joost
Sold by WorldofBooks, Goring-By-Sea, WS, United Kingdom
AbeBooks Seller since March 16, 2007
Used - Soft cover
Condition: Used - Very good
Ships from United Kingdom to U.S.A.
Quantity: 2 available
Add to basketSold by WorldofBooks, Goring-By-Sea, WS, United Kingdom
AbeBooks Seller since March 16, 2007
Condition: Used - Very good
Quantity: 2 available
Add to basketThe book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Seller Inventory # GOR006707592
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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