<p>The 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 ne
Phase Resetting in Medicine and Biology: Stochastic Modelling and Data Analysis
โ Scribed by Dr. Dr. Peter A. Tass (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 1999
- Tongue
- English
- Leaves
- 333
- Series
- Springer Series in Synergetics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
The 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. He makes the book accessible to readers not familiar with the mathematical formalism. The results are presented and additionally explained without formulae, particularly with a view to the interests of neuroscientists. 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. The book is written for researchers and graduate students but it can also benefit medical practitioners.
โฆ Table of Contents
Front Matter....Pages I-XIII
Introduction....Pages 1-9
Resetting an Ensemble of Oscillators....Pages 11-54
Synchronization Patterns....Pages 55-97
Stochastic Model....Pages 99-106
Clustering in the Presence of Noise....Pages 107-143
Single Pulse Stimulation....Pages 145-201
Periodic Stimulation....Pages 203-217
Data Analysis....Pages 219-255
Modelling Perspectives....Pages 257-263
Neurological Perspectives....Pages 265-274
Epilogue....Pages 275-281
Back Matter....Pages 283-329
โฆ Subjects
Biophysics and Biological Physics;Statistical Physics, Dynamical Systems and Complexity;Neurosciences;Physiological, Cellular and Medical Topics;Neurobiology;Neurology
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