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Modeling phase transitions in the brain. With a foreword by Walter J. Freeman. (English) Zbl 1221.92025
Springer Series in Computational Neuroscience 4. New York, NY: Springer (ISBN 978-1-4419-0795-0/hbk; 978-1-4419-0796-7/ebook). xxix, 305 p. (2010).
[The articles of this volume will not be indexed individually.]
Publisher’s description: This volume contains chapter contributions from leading researchers who apply state-space methods, network models, and biophysically-motivated continuum approaches to investigate a range of neuroscientifically relevant problems that include the analysis of non-stationary EEG time-series; network topologies that limit epileptic spreading; saddle-node bifurcations for anesthesia, sleep-cycling, and the wake-sleep switch; prediction of dynamical and noise-induced spatiotemporal instabilities underlying BOLD, alpha- and gamma-band EEG oscillations, gap-junction-moderated Turing structures, and Hopf–Turing interactions leading to cortical waves.

MSC:
92C20 Neural biology
92C55 Biomedical imaging and signal processing
92-06 Proceedings, conferences, collections, etc. pertaining to biology
00A71 General theory of mathematical modeling
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