This book presents a new theoretical approach to phase resetting and stimulation-induced synchronization and desynchronization in a population of oscillators. The author uses stochastic methods from statistical mechanics and applies his theory to models of practical importance in physiology and neuroscience. The book is accessible to readers not familiar with the mathematical formalism. The author also proposes improvements to stimulation techniques as used by neurologists and neurosurgeons in the context of Parkinson's disease and MEG/EEG data analysis.
|Publisher:||Springer Berlin Heidelberg|
|Series:||Springer Series in Synergetics|
|Edition description:||1st ed. 1999. 2nd printing 2006. Softcover reprint of the original 1st ed. 1999|
|Product dimensions:||6.10(w) x 9.25(h) x (d)|
Table of ContentsResetting an Ensemble of Oscillators.- Synchronization Patterns.- Stochastic Model.- Clustering in the Presence of Noise.- Single Pulse Stimulation.- Periodic Stimulation.- Data Analysis.- Modelling Perspectives.- Neurological Perspectives.- Epilogue.