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Statistical and Process Models for Cognitive Neuroscience and Aging Book

Statistical and Process Models for Cognitive Neuroscience and Aging
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  • Statistical and Process Models for Cognitive Neuroscience and Aging
  • Written by author Michael J. Wenger
  • Published by Taylor & Francis, Inc., January 2007
  • 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
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Authors

Preface   Michael J. Wenger   Christof Schuster     vii
Longitudinal Study in Cognition and Aging   Steven D. Edland   Ronald C. Petersen     1
Computational Cognitive Neuroscience: Building and Testing Biologically Plausible Computational Models of Neuroscience, Neuroimaging, and Behavioral Data   F. Gregory Ashby   Vivian V. Valentin     15
Modeling the Role of Acetylcholine and Hippocampal Theta Rhythm in Memory-Guided Behavior   Michael E. Hasselmo   Jill McGaughy   Christiane Linster     59
Modeling Amnesia: Connectionist and Mathetmatical Approaches   Jaap M. J. Murre   Martijn Meeter   Antonio G. Chessa     119
Who Does What: Taking Measures   Alan Keinan   Alon Kaufman   Claus G. Hilgetag   Isaac Meilijson   Eytan Ruppin     163
Generalized Component Analysis and Blind Source Separation Methods for Analyzing Multichannel Brain Signals   Andrzej Cichocki     201
Quantifying Scaling Properties of Neurophysiological Time Series   Thomas C. Ferree   Mark A. Kramer   David J. McGonigle   Rudolph C. Hwa     273
Applications of Independent Component Analysis to Electroencephalography   Tzyy-Ping Jung   Te-WonLee     313
Author Index     335
Subject Index     347


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