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A new model for simple neural nets and its application in the design of a neural oscillator

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Abstract

The results of a previous theoretical study of a class of systems are applied for the design of neural nets which try to simulate biological behavior.

Besides the models for single aperiodic and periodic neurons, a “neural oscillator” is developed which consists of two cross-excited neurons. Its response is similar to the firing pattern of certain biological neural oscillators, like the flying system of the locust. Also, by proper change of its parameters, it can be made highly irregular, providing a deterministic model for the spontaneous neural activity.

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Author notes

  1. Theodosios Pavlidis

    Present address: Formerly with the Department of Electrical Engineering, University of California, Berkeley

Authors and Affiliations

  1. Department of Electrical Engineering, Princeton University, Princeton, New Jersey

    Theodosios Pavlidis

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  1. Theodosios Pavlidis
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Pavlidis, T. A new model for simple neural nets and its application in the design of a neural oscillator. Bulletin of Mathematical Biophysics 27, 215 (1965). https://doi.org/10.1007/BF02498776

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  • DOI: https://doi.org/10.1007/BF02498776

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