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Exploratory Analysis and Data Modeling in Functional Neuroimaging
Edited by Friedrich T. Sommer and Andrzej Wichert
Foreword by Manfred Spitzer
 Table of Contents
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.
Contributors: B. Abler, Michael A. Arbib, A. H. Fagg, F. Gonzalez-Lima, J. Grothe, Lars Kai Hansen, Christoph S. Herrmann, Judith A. Hirsch, Barry Horwitz, Mark Jarmasz, Tzyy-Ping Jung, Seong-Gi Kim, Zoe Kourtzi, Frithjof Kruggel, Nikos K. Logothetis, Scott Makeig, Martin J. McKeown, Klaus-Robert Müller, Hermanth P. Nair, Barak A. Pearlmutter, Archana Purushotham, Terrence J. Sejnowski, Friedrich T. Sommer, Ray L. Somorjai, M-A. Tagamets, Akaysha C. Tang, Andreas S. Tolias, Ricardo Vigário, H. Walter, Andrzej Wichert, Andreas Ziehe.
About the Editors
Friedrich T. Sommer is with the Redwood Center for Theoretical Neuroscience and the Helen Wills Neuroscience Institute at University of California, Berkeley.
| "All of the papers are well presented and accompanied by illustrative experimental applications. The book coverage goes beyond standard methodologies in functional neuroimaging and amounts to a highly valuable contribution to the field."
—Alfonso Nieto-Castanon, Neural Networks 18 (2005) 307-308 |
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