• DocumentCode
    3213156
  • Title

    A continuum neuronal tissue model based on a two-compartmental representation of cells

  • Author

    Al Abed, Amr ; Lovell, Nigel H. ; Suaning, Gregg J. ; Dokos, Socrates

  • Author_Institution
    Grad. Sch. of Biomed. Eng., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    6543
  • Lastpage
    6546
  • Abstract
    Although significant advances have been made in continuum modeling of cardiac and smooth muscle tissue, the progress in neuronal continuum modeling has been slower. In this paper, a continuum neuronal tissue model based on a two-compartmental representation of cells is presented. Each neuron is described using both a somatic compartment modeled by the classical Hodgkin-Huxley current kinetics and a dendritic compartment based on a passive RC formulation. In addition, a synaptic current is fed into the dendritic compartment to account for the presynaptic influence of cells located within the dendritic field of each soma. A number of cases are simulated, including intracellular current injection into either the dendritic or somatic compartments, as well as extracellular current stimulation with and without synaptic input into neurons. The model incorporates a number of parameters controlling neuronal excitability which can be adjusted to validate each neuron´s responses against experimental data, allowing for the modeling of different neuronal cell types and behaviors.
  • Keywords
    RC circuits; bioelectric phenomena; biological tissues; cellular biophysics; neural nets; neurophysiology; physiological models; cardiac tissue; cell presynaptic influence; cellular two-compartmental representation; classical Hodgkin-Huxley current kinetics; continuum neuronal tissue model; dendritic compartment; dendritic field; extracellular current stimulation; intracellular current injection; neuron response; neuronal cell behavior; neuronal cell type; neuronal continuum modeling; neuronal excitability parameter; passive RC formulation; smooth muscle tissue; somatic compartment model; synaptic current; synaptic input; Biological system modeling; Brain modeling; Computational modeling; Electric potential; Extracellular; Neurons; Retina;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6611054
  • Filename
    6611054