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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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