| Series Foreword | vii |
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| Foreword
Manfred Spitzer | ix |
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| Preface | xiii |
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| 1. | Theories, Data Analysis, and Simulation Models in Neuroimaging--An Overview
Friedrich T. Sommer, Judith A. Hirsch and Andrzej Wichert | 1 |
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| I. | fMRI Data Analysis and Experimental Design | 15 |
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| 2. | Exploratory Analysis of fMRI Data by Fuzzy Clustering--Philosophy, Strategy, Tactics, Implementation
Ray Somorjai and Mark Jarmasz | 17 |
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| 3. | Testing Competing Hypotheses about Single Trial fMRI
Lars Kai Hansen, Archana Purushotham and Seong-Gi Kim | 49 |
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| 4. | Deterministic and Stochastic Features of fMRI Data: Implications for Data Averaging
Martin J. McKeown | 63 |
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| 5. | Exploratory Analysis of Event-Related fMRI Demonstrated in a Working Memory Study
Andrzej Wichert, Henrik Walter, Jo Grothe, Birgit Abler and Friedrich T. Sommer | 77 |
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| 6. | Functional Magnetic Resonance Imaging Adaptation: A Technique for Studying the Properties of Neuronal Networks
Andreas S. Tolias, Zoe Kourtzi and Nikos K. Logothetis | 109 |
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| II. | EGM/MEG Data Analysis | 127 |
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| 7. | Independent Components of Magnetoencephalography: Localization
Akaysha C. Tang and Barak A. Pearlmutter | 129 |
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| 8. | Blind Decomposition of Multimodal Evoked Responses and DC Fields
Ricardo Vigário, Andreas Ziehe, Matthias M. Müller, Gerd Wübbeler, Lutz Trahms, Bruno-Marcel Mackert, Gabriel Curio, Veikko Jousmäki, Jaakko Särelä and Erkki Oja | 163 |
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| III. | Combination EEG/MEG and fMRI | 193 |
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| 9. | Having Your Voxels and Timing Them Too?
Scott Makeig, Tzyy-Ping Jung and Terrence J. Sejnowski | 195 |
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| 10. | Recording of Evoked Potentials during Functional MRI
Frithjof Kruggel and Christoph S. Herrmann | 209 |
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| IV. | Models Integrating Neurophysiology and Functional Imaging | 229 |
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| 11. | Synthetic PET Imaging for Grasping: From Primate Neurophysiology to Human Behavior
Michael A. Arbib, Andrew H. Fagg and Scott T. Grafton | 231 |
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| 12. | The Use of Large-Scale Modeling for Interpreting Human Brain Imaging Experiments
M-A. Tagamets and Barry Horwitz | 251 |
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| 13. | Large-Scale Networks in Learning Analyzed with Partial Least Squares
Hemanth P. Nair and Francisco Gonzalez-Lima | 273 |
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| Index | 295 |
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