Methods in Mind

Methods in Mind पीडीएफ

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साइट अपडेट होने के कारण, अपडेट पूरा होने तक डाउनलोड अस्थायी रूप से रोक दिया जाएगापर्क करें [email protected]

माइकल एस गाज़ानिगा (जन्म 12 दिसंबर, 1939) कैलिफोर्निया विश्वविद्यालय, संयुक्त राज्य अमेरिका में सांता बारबरा में मनोविज्ञान के प्रोफेसर हैं, जहां वे मन के अध्ययन के लिए नए सेज सेंटर के प्रमुख हैं। वह संज्ञानात्मक तंत्रिका विज्ञान में अग्रणी शोधकर्ताओं में से एक है, मन के तंत्रिका आधार का अध्ययन। वह अमेरिकन एकेडमी ऑफ आर्ट्स एंड साइंसेज, इंस्टीट्यूट ऑफ मेडिसिन और नेशनल एकेडमी ऑफ साइंसेज के सदस्य हैं।

पुस्तक का विवरण

Methods in Mind पीडीएफ माइकल गज़ानिगा

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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