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The Teorell membrane oscillator--a complete nerve model.

U F Franck

    Upsala Journal of Medical Sciences
    |January 1, 1980
    PubMed
    Summary
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    Zeitschrift fur Naturforschung. Teil B. Anorganische Chemie, organische Chemie, Biochemie, Biophysik, Biologie·1972
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    Models for biological excitation processes.

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    The Teorell membrane oscillator exhibits spontaneous oscillations due to opposing positive and negative feedback mechanisms. These dynamics explain phenomena observed in various biological and physicochemical systems.

    Area of Science:

    • Physicochemical kinetics
    • Biophysics
    • Systems biology

    Background:

    • The Teorell membrane oscillator, discovered in 1954, is a key model for spontaneous periodic behavior.
    • Oscillatory systems, including biological ones like nerves, share fundamental kinetic principles.
    • Understanding these principles is crucial for diverse scientific fields.

    Purpose of the Study:

    • To elucidate the fundamental mechanism driving oscillations in the Teorell membrane oscillator.
    • To demonstrate the universal applicability of these oscillatory principles across different systems.
    • To connect the Teorell oscillator's behavior to phenomena in biological excitable systems.

    Main Methods:

    • Experimental demonstration of the Teorell membrane oscillator.

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  • Analysis of feedback mechanisms (positive and negative) within the system.
  • Comparison of observed temporal phenomena with those in biological systems.

    • Main Results:

    • Oscillations arise from the interplay of labilizing positive and stabilizing negative feedback.
    • This feedback mechanism is intrinsic to the Teorell oscillator and other oscillatory systems.
    • Key phenomena like instability, bistability, and excitability are explained by this feedback.

    Conclusions:

    • The Teorell oscillator provides a fundamental model for understanding spontaneous periodic behavior.
    • Antagonistic feedback is the core principle underlying oscillations in physicochemical and biological systems.
    • The study highlights shared kinetic characteristics between artificial and living oscillatory systems.