Exploratory Analysis and Data Modeling in Functional Neuroimaging (Neural Information Processing)

Sommer, Friedrich T.; Wichert, Andrzej; Spitzer, Manfred, (Foreword)

ISBN 10: 0262194813 / ISBN 13: 9780262194815

Published by The MIT Press, Cambridge, Mass.

About this Item

Presenting "Exploratory Analysis and Data Modeling in Functional Neuroimaging" edited by Friedrich T. Sommer and Andrzej Wichert, a hardcover edition in Very Good condition. The book includes a nice crisp dust jacket, although there is a faint black mark on the front of the jacket. The covers are in great shape with only a slight bowing to the boards. The binding is tight, and the interior pages are clean, bright, and unmarked. A small abrasion is present on the front flyleaf. The book will be carefully packaged for shipment, ensuring its protection from the elements. A USPS electronic tracking number will be issued free of charge for your convenience. This comprehensive book explores methods and techniques for analyzing and modeling functional neuroimaging data, making it a valuable resource for researchers, practitioners, and students in the neural information processing field.

Seller Inventory # 15652

Bibliographic Details

• Title: Exploratory Analysis and Data Modeling in Functional Neuroimaging (Neural Information Processing)
• Publisher: The MIT Press, Cambridge, Mass.
• Language: English
• ISBN 10: 0262194813
• ISBN 13: 9780262194815
• Binding: Hardcover
• Edition: First Edition.
• Printing: First Printing
• Condition: Very Good
• Dust Jacket Condition: Very Good
• Dimensions: 10.2W x 8.2H x 0.8D inches 10.2 inches width by 8.2 inches height by 0.8 inches depth

About this title

Synopsis

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.

About the Author

Friedrich T. Sommer is with the Redwood Center for Theoretical Neuroscience and the Helen Wills Neuroscience Institute at University of California, Berkeley.