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Statistical and process models for cognitive neuroscience and aging

Author: Michael J Wenger; Christof Schuster
Publisher: Mahwah, N.J. : Lawrence Erlbaum, 2007.
Series: Notre Dame series on quantitative methodologies.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"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  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Michael J Wenger; Christof Schuster
ISBN: 0805854134 9780805854138 0805854142 9780805854145 9781410614018 1410614018
OCLC Number: 62408867
Description: x, 352 pages : illustrations ; 24 cm.
Contents: M.J. Wenger, C. Schuster, Preface. S.D. Edland, R.C. Petersen, Longitudinal Study in Cognition and Aging. F.G. Ashby, V.V. Valentin, Computational Cognitive Neuroscience: Building and Testing Biologically Plausible Computational Models of Neuroscience, Neuroimaging, and Behavioral Data. M.E. Hasselmo, J. McGaughy, C. Linster, Modeling the Role of Acetylcholine and Hippocampal Theta Rhythm in Memory-Guided Behavior. J.M.J. Murre, M. Meeter, A.G. Chessa, Modeling Amnesia: Connectionist and Mathematical Approaches. A. Keinan, A. Kaufman, C.C. Hilgetag, I. Meilijson, E. Ruppin, Who Does What: Taking Measures. A. Cichocki, Generalized Component Analysis and Blind Source Separation Methods for Analyzing Multichannel Brain Signals. T.C. Ferree, M.A. Kramer, D.J. McGonigle, R.C. Hwa, Quantifying Scaling Properties in Neurophysiological Time Series. T.-P. Jung, T.-W. Lee, Applications of Independent Component Analysis to Electroencephalography.
Series Title: Notre Dame series on quantitative methodologies.
Responsibility: edited by Michael J. Wenger, Christof Schuster.
More information:

Abstract:

"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."--Publisher's website.

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