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Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making
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Published on: March 2, 2011

Stochastic synchronization of interacting pathways in testosterone model.

Md Jahoor Alam1, Gurumayum Reenaroy Devi, R K Brojen Singh

  • 1Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi 110025, India.

Computational Biology and Chemistry
|November 8, 2012
PubMed
Summary
This summary is machine-generated.

This study explores how coupled testosterone-releasing pathways synchronize. Stochastic systems synchronize slower than deterministic ones, with synchronization rates affected by system size and noise.

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Area of Science:

  • Biophysics
  • Chemical Kinetics
  • Systems Biology

Background:

  • Stochastic oscillators are crucial in biological systems.
  • Understanding coupling mechanisms is key to biological synchrony.

Purpose of the Study:

  • To investigate coupling mechanisms in identical stochastic oscillators.
  • To model testosterone (T) releasing pathways using Chemical Langevin formalism.
  • To analyze factors influencing synchrony rates.

Main Methods:

  • Chemical Langevin formalism for modeling stochastic oscillators.
  • Stochastic simulation algorithm for large-scale pathway simulations.
  • Analysis of order parameters like synchronization manifolds and phase plots.

Main Results:

  • Synchronization rate depends on fluctuating factor, coupling constants, and system size.
  • Deterministic systems synchronize faster than stochastic systems.
  • Coupling constant exhibits power-law behavior with system size (V ~ AV(-γ)).

Conclusions:

  • Synchrony is maintained across different coupling mechanisms.
  • Phase transition-like behavior observed in simulations.
  • Noise plays a destructive role in synchronization at the thermodynamic limit.