Functional imaging tools such as fMRI (functional magnetic resonance imaging), PET (positron emission tomography), EEG (electro-encephalogram), and MEG (magneto-encephalogram) allow researchers to record activity in the working brain and draw inferences about how the brain functions. This book provides a survey of theoretical and computational approaches to neuroimaging, including inferential, exploratory, and causal methods of data analysis; theories of cerebral function; and biophysical and computational models of neural networks. It also emphasizes the close relationships between different approaches, for example, between causal data analysis and biophysical modeling, and between functional theories and computational models. Exploratory Analysis and Data Modeling in Functional Neuroimaging Contents Series Foreword Foreword Preface 1 Theories, Data Analysis, and Simulation Models in Neuroimaging-An Overview I fMRI Data Analysis and Experimental Designs 2 Exploratory Analysis of fMRI Data by Fuzzy Clustering-Philosophy, Strategy, Tactics, Implementation 3 Testing Competing Hypotheses about Single Trial fMRI 4 Deterministic and Stochastic Features of fMRI Data: Implications for Data Averaging 5 Exploratory Analysis of Event-Related fMRI Demonstrated in a Working Memory Study 6 Functional Magnetic Resonance Imaging Adaptation: A Technique for Studying the Properties of Neuronal Networks II EGM/MEG Data Analysis 7 Independent Components of Magneto-encephalography: Localization 8 Blind Decomposition of Multimodal Evoked Responses and DC Fields III Combination EEG/MEG and fMRI 9 Having Your Voxels and Timing Them Too? 10 Recording of Evoked Potentials during Functional MRI IV Models Integrating Neurophysiology and Functional Imaging 11 Synthetic PET Imaging for Grasping: From Primate Neurophysiology to Human Behavior 12 The Use of Large-Scale Modeling for Interpreting Human Brain Imaging Experiments 13 Large-Scale Networks in Learning Analyzed with Partial Least Squares Index An overview of theoretical and computational approaches to neuroimaging.Functional imaging tools such as fMRI (functional magnetic resonance imaging), PET (positron emission tomography), EEG (electro-encephalogram), and MEG (magneto-encephalogram) allow researchers to record activity in the working brain and draw inferences about how the brain functions. This book provides a survey of theoretical and computational approaches to neuroimaging, including inferential, exploratory, and causal methods of data analysis; theories of cerebral function; and biophysical and computational models of neural nets. It also emphasizes the close relationships between different approaches, for example, between causal data analysis and biophysical modeling, and between functional theories and computational models. Functional imaging tools such as fMRI (functional magnetic resonance imaging), PET (positron emission tomography), EEG (electro-encephalogram) and MEG (magneto-encephalogram) allow researchers to record activity in the working brain and draw inferences about how the brain functions. This book provides a survey of theoretical and computational approaches to neuroimaging, including inferential, exploratory and causal methods of data analysis; theories of cerebral function; and biophysical and computational models of neural nets. It also emphasizes the close relationship between different approaches, for example, between causal data analysis and biophysical modelling, and between functional theories, and computational models.
