Exploratory Analysis and Data Modeling in Functional Neuroimaging, PDF eBook

Exploratory Analysis and Data Modeling in Functional Neuroimaging PDF

Edited by Friedrich T. Sommer, Andrzej Wichert

Part of the Neural Information Processing series series

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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.

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