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Biological Cybernetics

, Volume 61, Issue 5, pp 379–392 | Cite as

Modeling the olfactory bulb and its neural oscillatory processings

  • Zhaoping Li
  • J. J. Hopfield
Article

Abstract

The olfactory bulb of mammals aids in the discrimination of odors. A mathematical model based on the bulbar anatomy and electrophysiology is described. Simulations of the highly non-linear model produce a 35–60 Hz modulated activity which is coherent across the bulb. The decision states (for the odor information) in this system can be thought of as stable cycles, rather than point stable states typical of simpler neuro-computing models. Analysis shows that a group of coupled non-linear oscillators are responsible for the oscillatory activities. The output oscillation pattern of the bulb is determined by the odor input. The model provides a framework in which to understand the transform between odor input and the bulbar output to olfactory cortex. There is significant correspondence between the model behavior and observed electrophysiology.

Keywords

Mathematical Model Stable State Olfactory Bulb Model Behavior Decision State 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 1989

Authors and Affiliations

  • Zhaoping Li
    • 1
  • J. J. Hopfield
    • 2
  1. 1.Division of Physics, Mathematics and AstronomyCalifornia Institute of TechnologyPasadenaUSA
  2. 2.Division of Biology, and Division of Chemistry and Chemical EngineeringAT & T Bell Laboratories, California Institute of TechnologyPasadenaUSA

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