• DocumentCode
    3749158
  • Title

    Modelling and implementation of two coupled Hodgkin-Huxley neuron model

  • Author

    Dhanya E;N. Pradhan; Sunitha R;A. Sreedevi

  • Author_Institution
    Dept. of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amrita School of Engineering, Bangalore, India
  • fYear
    2015
  • Firstpage
    66
  • Lastpage
    71
  • Abstract
    Neurons are the fundamental units that enable information transfer in our body. Neurons communicate through electrical signals called Action Potential. Hodgkin and Huxley proposed a model for generation of action potentials described using a set of nonlinear ordinary differential equations. In this paper, an attempt has been made to simulate the dynamic behavior of the simplest neuronal phenomenon using Hodgkin-Huxley neuron model. We have also presented the dynamics of a system of two coupled neurons with various input current as stimulus. The model is implemented on TMS320C6713 DSP processor to understand the behavior in a real-time environment.
  • Keywords
    "Neurons","Mathematical model","Biological system modeling","Computational modeling","Electric potential","Biomembranes","Logic gates"
  • Publisher
    ieee
  • Conference_Titel
    Computing and Network Communications (CoCoNet), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/CoCoNet.2015.7411168
  • Filename
    7411168