title: The effect of morphology upon electrophysiological responses of retinal ganglion cells: simulation results.
abstract: Retinal ganglion cells (RGCs) display differences in their morphology and intrinsic electrophysiology. The goal of this study is to characterize the ionic currents that explain the behavior of ON and OFF RGCs and to explore if all morphological types of RGCs exhibit the phenomena described in electrophysiological data. We extend our previous single compartment cell models of ON and OFF RGCs to more biophysically realistic multicompartment cell models and investigate the effect of cell morphology on intrinsic electrophysiological properties. The membrane dynamics are described using the Hodgkin - Huxley type formalism. A subset of published patch-clamp data from isolated intact mouse retina is used to constrain the model and another subset is used to validate the model. Two hundred morphologically distinct ON and OFF RGCs are simulated with various densities of ionic currents in different morphological neuron compartments. Our model predicts that the differences between ON and OFF cells are explained by the presence of the low voltage activated calcium current in OFF cells and absence of such in ON cells. Our study shows through simulation that particular morphological types of RGCs are capable of exhibiting the full range of phenomena described in recent experiments. Comparisons of outputs from different cells indicate that the RGC morphologies that best describe recent experimental results are ones that have a larger ratio of soma to total surface area.
authors.affiliation: Centre for Neural Engineering, University of Melbourne, 203 Bouverie St, Carlton, Vic, 3053, Australia.
authors.forename: Matias I
authors.initials: MI
authors.lastname: Maturana
authors.forename: Tatiana
authors.initials: T
authors.lastname: Kameneva
authors.forename: Anthony N
authors.initials: AN
authors.lastname: Burkitt
authors.forename: Hamish
authors.initials: H
authors.lastname: Meffin
authors.forename: David B
authors.initials: DB
authors.lastname: Grayden
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D002462:Cell Membrane / Q000378:metabolism; D003198:Computer Simulation; D004553:Electric Conductivity; D008959:Models, Neurological; D012165:Retinal Ganglion Cells / Q000166:cytology* / Q000502:physiology*