Statistical and Process Models for Cognitive Neuroscience and Aging (eBook, PDF)

Redaktion: Wenger, Michael J.; Schuster, Christof

• Format: PDF

Produktbeschreibung

This book 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. Intended for researchers in cognitive, be

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 368
• Erscheinungstermin: 30. Januar 2007
• Englisch
• ISBN-13: 9781135603359
• Artikelnr.: 38263611

Autorenporträt

Michael J. Wenger, Christof Schuster

Inhaltsangabe

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.