Stochastic Synchronization

Ram Ramaswamy*, R. K.Brojen Singh, Changsong Zhou, Jürgen Kurths

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingChapterpeer-review

3 Citations (Scopus)


The manner in which deterministic nonlinear dynamical systems synchronize differs significantly from the analogous phenomenon in stochastic systems. In this brief review, we discuss the basic issues pertaining to synchrony in the presence of stochasticity. This issue has gained in importance in recent years in part due to the study of finite systems. In particular, biological processes at the cellular and sub cellular level are subject to large fluctuations and nevertheless exhibit significant temporal correlations over a wide range of time-scales. The emergence and maintenance of stochastic synchrony is thus of fundamental importance, and we discuss some illustrative cases.

Original languageEnglish
Title of host publicationNonlinear Dynamics and Chaos
Subtitle of host publicationAdvances and Perspectives
EditorsMarco Thiel, Jürgen Kurths, M. Carmen Romano, György Károlyi, Alessandro Moura
PublisherSpringer Berlin Heidelberg
Number of pages17
ISBN (Electronic)9783642046292
ISBN (Print)9783642046285, 9783642263453
Publication statusPublished - 20 Apr 2010

Publication series

NameUnderstanding Complex Systems
ISSN (Print)1860-0832
ISSN (Electronic)1860-0840

Scopus Subject Areas

  • Software
  • Computational Mechanics
  • Artificial Intelligence

User-Defined Keywords

  • Lyapunov Exponent
  • Chaotic System
  • Master Equation
  • Stochastic System
  • Noise Intensity


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