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
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610560