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Chaotic single neuron model with periodic coefficients with period two

  • Inese Bula*
  • , Michael A. Radin
  • *Corresponding author for this work
    • Rochester Institute of Technology

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    Our goal is to investigate the piecewise linear difference equation xn+1 = βnxn−g(xn). This piecewise linear difference equation is a prototype of one neuron model with the internal decay rate β and the signal function g. The authors investigated this model with periodic internal decay rate βn as a period-two sequence. Our aim is to show that for certain values of coefficients βn, there exists an attracting interval for which the model is chaotic. On the other hand, if the initial value is chosen outside the mentioned attracting interval, then the solution of the difference equation either increases to positive infinity or decreases to negative infinity.

    Original languageEnglish
    Pages (from-to)111-123
    JournalNonlinear Analysis: Modelling and Control
    Volume29
    Issue number1
    DOIs
    Publication statusPublished - 1 Jan 2024

    Keywords

    • chaotic atractor
    • difference equation
    • neuron model
    • periodic solution
    • unbounded solution

    OECD Field of Science

    • 1.1 Mathematics

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