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

Tianruo Guo, David Tsai, John W. Morley, Gregg J. Suaning, Nigel H. Lovell, Socrates Dokos

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    8 Citations (Scopus)

    Abstract

    ![CDATA[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.]]
    Original languageEnglish
    Title of host publicationProceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '13), 3 - 7 July 2013, Osaka, Japan
    PublisherIEEE
    Pages4553-4556
    Number of pages4
    ISBN (Print)9781457702167
    DOIs
    Publication statusPublished - 2013
    EventIEEE Engineering in Medicine and Biology Society. Conference -
    Duration: 3 Jul 2013 → …

    Publication series

    Name
    ISSN (Print)1557-170X

    Conference

    ConferenceIEEE Engineering in Medicine and Biology Society. Conference
    Period3/07/13 → …

    Fingerprint

    Dive into the research topics of 'Influence of cell morphology in a computational model of ON and OFF retinal ganglion cells'. Together they form a unique fingerprint.

    Cite this