Noise-sensitive measure for stochastic resonance in biological oscillators

Ying-Cheng Lai, Kwangho Park

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

There has been ample experimental evidence that a variety of biological systems use the mechanism of stochastic resonance for tasks such as prey capture and sensory information processing. Traditional quantities for the characterization of stochastic resonance, such as the signal-to-noise ratio, possess a low noise sensitivity in the sense that they vary slowly about the optimal noise level. To tune to this level for improved system performance in a noisy environment, a high sensitivity to noise is required. Here we show that, when the resonance is understood as a manifestation of phase synchronization, the average synchronization time between the input and the output signal has an extremely high sensitivity in that it exhibits a cusp-like behavior about the optimal noise level. We use a class of biological oscillators to demonstrate this phenomenon, and provide a theoretical analysis to establish its generality. Whether a biological system actually takes advantage of phase synchronization and the cusp-like behavior to tune to optimal noise level presents an interesting issue of further theoretical and experimental research.

Original languageEnglish (US)
Pages (from-to)583-602
Number of pages20
JournalMathematical Biosciences and Engineering
Volume3
Issue number4
StatePublished - Oct 2006

Fingerprint

Biological Clocks
biological clocks
Stochastic Resonance
Noise
Synchronization
Phase Synchronization
Biological systems
Cusp
Biological Systems
Time Synchronization
Prey
Information Processing
System Performance
Signal to noise ratio
Theoretical Analysis
Vary
Signal-To-Noise Ratio
Automatic Data Processing
Output
Demonstrate

Keywords

  • Biological oscillators
  • FitzHugh-Nagumo (FHN) model
  • Phase synchronization
  • Stochastic resonance

ASJC Scopus subject areas

  • Applied Mathematics
  • Modeling and Simulation
  • Computational Mathematics
  • Agricultural and Biological Sciences(all)
  • Medicine(all)

Cite this

Noise-sensitive measure for stochastic resonance in biological oscillators. / Lai, Ying-Cheng; Park, Kwangho.

In: Mathematical Biosciences and Engineering, Vol. 3, No. 4, 10.2006, p. 583-602.

Research output: Contribution to journalArticle

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