• DocumentCode
    3203946
  • Title

    Influence of cell morphology in a computational model of ON and OFF retinal ganglion cells

  • Author

    Guo, Tengjiao ; Tsai, David ; Morley, John W. ; Suaning, Gregg J. ; Lovell, Nigel H. ; 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
    4553
  • Lastpage
    4556
  • Abstract
    We developed anatomically and biophysically detailed ionic models to understand how cell morphology contributes to the unique firing patterns of ON and OFF retinal ganglion cells (RGCs). With identical voltage-gated channel kinetics and distribution, cell morphology alone is sufficient to generate quantitatively distinct electrophysiological responses. Notably, recent experimental observations from ON and OFF RGCs can be closely reproduced by the variations in their cell morphologies alone. Our results suggest that RGC morphology in conjunction with biophysical properties and network connectivity are able to produce the diverse response repertoire of RGCs.
  • Keywords
    bioelectric phenomena; cellular biophysics; eye; neurophysiology; physiological models; ON-OFF retinal ganglion cells; RGC; cell morphology; electrophysiology; firing patterns; ionic models; voltage-gated channel kinetics; Biological system modeling; Biomembranes; Computational modeling; Mathematical model; Morphology; 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.2013.6610560
  • Filename
    6610560