@inproceedings{ad41439e59ee4149ba57e63eb66214db,
title = "Selective activation of ON and OFF retinal ganglion cells to high-frequency electrical stimulation : a computational modeling study",
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 = "retinal ganglion cells",
author = "Tianruo Guo and Lovell, {Nigel H.} and David Tsai and Perry Twyford and Shelley Fried and Morley, {John W.} and Suaning, {Gregg J.} and Socrates Dokos",
year = "2014",
doi = "10.1109/EMBC.2014.6945023",
language = "English",
isbn = "9781424479276",
publisher = "IEEE",
pages = "6108--6011",
booktitle = "Proceedings of 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), Chicago, Illinois, USA, 26-30 August 2014",
note = "IEEE Engineering in Medicine and Biology Society. Annual Conference ; Conference date: 30-04-2015",
}