Phase Resetting in Medicine and Biology

Stochastic Modelling and Data Analysis

  • Peter A. Tass

Part of the Springer Series in Synergetics book series (SSSYN)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Peter A. Tass
    Pages 1-9
  3. Peter A. Tass
    Pages 11-54
  4. Peter A. Tass
    Pages 55-97
  5. Peter A. Tass
    Pages 99-106
  6. Peter A. Tass
    Pages 107-143
  7. Peter A. Tass
    Pages 145-201
  8. Peter A. Tass
    Pages 203-217
  9. Peter A. Tass
    Pages 219-255
  10. Peter A. Tass
    Pages 257-263
  11. Peter A. Tass
    Pages 265-274
  12. Peter A. Tass
    Pages 275-281
  13. Back Matter
    Pages 283-329

About this book

Introduction

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.

Keywords

Brain Dynamics Parkinson Phase Resetting Synchronized 0scillators biology brain clustering dynamics electroencephalography (EEG) mechanics neuroscience physiology population

Authors and affiliations

  • Peter A. Tass
    • 1
  1. 1.Neurologische KlinikHeinrich-Heine-UniversitätDüsseldorfGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-38161-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-38159-4
  • Online ISBN 978-3-540-38161-7
  • Series Print ISSN 0172-7389
  • About this book