Title :
Selective activation of ON and OFF retinal ganglion cells to high-frequency electrical stimulation: A computational modeling study
Author :
Tianruo Guo ; Lovell, Nigel H. ; Tsai, David ; Twyford, Perry ; Fried, Shelley ; Morley, John W. ; Suaning, Gregg J. ; Dokos, Socrates
Author_Institution :
Grad. Sch. of Biomed. Eng., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
In this study, ON and OFF retinal ganglion cell (RGC) models based on accurate biophysics and realistic representations of cell morphologies were used to understand how these cells selectively respond to high-frequency electrical stimulation (HFS). With optimized model parameters and the incorporation of detailed cell morphologies, these two models were able to closely replicate experimental ON and OFF RGC responses to epiretinal electrical stimulation. This modeling approach can be used to design electrical stimulus profiles capable of cell-specific activation, and is broadly applicable for the development of sophisticated stimulation strategies for visual prostheses.
Keywords :
bioelectric phenomena; cellular biophysics; OFF retinal ganglion cells; ON retinal ganglion cells; RGC models; cell morphology; epiretinal electrical stimulation; high frequency electrical stimulation; selective activation; visual prostheses; Biological system modeling; Computational modeling; Educational institutions; Electrical stimulation; Electrodes; Morphology; Retina;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6945023