Statistical and Process Models for Cognitive Neuroscience and Aging by Michael J. Wenger
(Notre Dame Series on Quantitative Methodology)

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Statistical and Process Models for Cognitive Neuroscience and Aging addresses methodological techniques for researching cognitive impairment, Alzheimer's disease, the biophysics and structure of the nervous system, the physiology of memory, and the analysis of EEG data. Each chapter, written by the expert in the area, provides a carefully crafted introduction to the subject at hand and the key methodological challenges facing that area of study.

Although the chapters describe sophisticated techniques, each is accessible to scientists from a variety of fields. The editors' goal is to expose researchers working on a range of issues associated with cognitive aging to a variety of approaches and technologies, in an effort to cross disciplinary boundaries and further research in cognitive aging.

Intended for researchers in cognitive, behavioral, and computational neuroscience, psychometrics, gerontology, cognitive, health, and developmental psychology, radiology, and medical research, this book also serves as a text for graduate level courses in cognitive science and cognitive aging.

About Michael J. Wenger

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Michael Wenger is a Professor at Pennsylvania State University. He received his Ph.D. in Experimental Psychology from Binghamton University (State University of New York). Dr. Wenger is a Fellow of both the American Psychological Society and the American Psychological Association. His research focuses on perceptual and memory processes, facial perception and memory, and perceptual and cognitive expertise.Christof Schuster is a Professor at the University of Giessen, Germany. He received his Ph.D. in Psychology from the Technical University of Berlin in 1997. That same year he received the Young Scientist Award of the methods group of the German Psychological Association. A fellow of the Psychometric Society, Dr. Schuster's research focuses on statistical models for rater agreement data.
Published October 12, 2012 by Psychology Press. 368 pages
Genres: Health, Fitness & Dieting, Professional & Technical, Science & Math. Non-fiction

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