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

9 Citations (Scopus)

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.
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