| Statistical and Process Models for Cognitive Neuroscience and Aging Contributor(s): Wenger, Michael J. (Editor), Schuster, Christof (Editor) |
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ISBN: 0805854134 ISBN-13: 9780805854138 Publisher: Psychology Press OUR PRICE: $133.00 Product Type: Hardcover - Other Formats Published: January 2007 Annotation: "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. |
| Additional Information |
| BISAC Categories: - Psychology | Statistics - Psychology | Developmental - Adulthood & Aging - Medical | Neuroscience |
| Dewey: 612.823 |
| LCCN: 2005058011 |
| Series: Notre Dame Series on Quantitative Methodology |
| Physical Information: 0.98" H x 6.73" W x 9.31" (1.35 lbs) 358 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |