@inproceedings{3fbe6bc791a449ada8956c3ed173012b,
title = "The unique characteristics of ON and OFF retinal ganglion cells : a modeling study",
abstract = "![CDATA[Retinal ganglion cells (RGCs) demonstrate a large range of variation in their ionic channel properties and morphologies. These cell-specific properties are responsible for the unique way they process synaptic inputs. A cell-specific modeling approach allows us to examine the functional significance of regional membrane channel expression and cell morphology. ON and OFF RGC models based on accurate biophysics and realistic representation of morphologies were used to study the contribution of different ion channel properties and spatial structure of neurons to RGC electrical activity. Using this approach, morphologically-complex retinal neurons such as amacrine cells or RGCs can be modelled and their interactions and processing can be better understood.]]",
keywords = "retinal ganglion cells",
author = "Tianruo Guo and David Tsai and Morley, {John W.} and Suaning, {Gregg J.} and Lovell, {Nigel H.} and Socrates Dokos",
year = "2014",
doi = "10.1109/EMBC.2014.6945020",
language = "English",
isbn = "9781424479276",
publisher = "IEEE",
pages = "6096--6099",
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",
}