Publications

Exploratory Analysis and Data Modeling in Functional Neuroimaging
edited by Friedrich T. Sommer and Andrzej Wichert
foreword by Manfred Spitzer

Web: mitpress.mit.edu/0262194813

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.

Friedrich T. Sommer is Assistant Professor and Andrzej Wichert is Research Scientist, Department of Neural Information Processing, Faculty of Computer Science, the University of Ulm.

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 M�ller, 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 Vig�rio, H. Walter, Andrzej Wichert, Andreas Ziehe.

8 x 10, 352 pp., cloth, ISBN 0-262-19481-3

Neural Information Processing series