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Related Experiment Videos

Information capacity and pattern formation in a tent map network featuring statistical periodicity.

C Hauptmann1, H Touchette, M C Mackey

  • 1Centre for Nonlinear Dynamics in Physiology and Medicine, Department of Physiology, McGill University, 3655 Drummond Street, Montreal, Quebec, Canada H3G 1Y6. chauptma@cnd.mcgill.ca

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|March 15, 2003
PubMed
Summary

Lattices of coupled maps efficiently code information, potentially modeling neural systems. This study quantifies their information capacity and pattern establishment time.

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Area of Science:

  • Complex systems
  • Computational neuroscience
  • Information theory

Background:

  • Lattices of coupled maps exhibit structured, stimulus-dependent activity patterns.
  • These patterns suggest potential for information storage, possibly modeling neural coding.

Purpose of the Study:

  • To quantitatively assess the information coding efficiency of coupled map lattices.
  • To determine the relationship between coupling strength and information capacity.
  • To estimate the time required for pattern formation in these lattices.

Main Methods:

  • Numerical evaluation of information capacity (information rate).
  • Analysis as a function of coupling strength.
  • Estimation of pattern establishment time.

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Main Results:

  • Coupled map lattices demonstrate efficient information coding capabilities.
  • Information capacity is directly influenced by the coupling strength between maps.
  • The time to establish a limiting activity pattern was estimated.

Conclusions:

  • Lattices of coupled maps are effective information coding devices.
  • Coupling strength is a critical parameter for optimizing information storage.
  • These findings support the model of coupled map lattices for neural information processing.