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    • Revista IJIMAI
    • 2016
    • vol. 4, nº 2, december 2016
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    • Revista IJIMAI
    • 2016
    • vol. 4, nº 2, december 2016
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    Temporal Information Processing and Stability Analysis of the MHSN Neuron Model in DDF

    Autor: 
    Choudhary, Saket Kumar
    ;
    Singh, Karan
    Fecha: 
    2016
    Palabra clave: 
    analysis; neural network; dynamical system; eigen value; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/11692
    DOI: 
    http://doi.org/10.9781/ijimai.2016.427
    Dirección web: 
    https://ijimai.org/journal/bibcite/reference/2579
    Open Access
    Resumen:
    Implementation of a neuron like information processing structure at hardware level is a burning research problem. In this article, we analyze the modified hybrid spiking neuron model (the MHSN model) in distributed delay framework (DDF) for hardware level implementation point of view. We investigate its temporal information processing capability in term of inter-spike-interval (ISI) distribution. We also perform the stability analysis of the MHSN model, in which, we compute nullclines, steady state solution, eigenvalues corresponding the MHSN model. During phase plane analysis, we notice that the MHSN model generates limit cycle oscillations which is an important phenomenon in many biological processes. Qualitative behavior of these limit cycle does not changes due to the variation in applied input stimulus, however, delay effect the spiking activity and duration of cycle get altered.
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