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
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