Modeling temporal behavior of postnatal cat retinal ganglion cells
Journal of Theoretical Biology
During development, mammalian retinal ganglion cells (RGCs) go through marked ontogenetic changes with respect to their excitable membrane properties. Voltage-clamp studies conducted in our laboratory have shown that the amplitude, voltage-dependence and kinetics of activation and inactivation (where present) of Na+, K+ and Ca2+ conductances all exhibit developmental changes during a time when the firing patterns of mammalian ganglion cells shift from being transient to being predominantly sustained in nature. In order to better understand the contribution of each conductance to the generation of spikes and spiking patterns, we have developed a model based on our experimental data. For simplicity, we have initially used experimental data obtained from postnatal ganglion cells. At this age the ontogenetic changes observed in the characteristics of the various ionic currents are complete. Utilizing the methods adopted by Hodgkin and Huxley for the giant squid axon, we have determined rate equations for the activation and inactivation properties of the IA, IKdr, INa, ICaL, ICaN, and Ileak currents in postnatal cat RGCs. Combining these with a simplified model of the calcium-activated potassium current (IKCa), we have solved and analysed the resulting differential equations. While spikes and spiking patterns resembling experimental data could be obtained from a model in which [Cai2+] was averaged across the whole cell, more accurate simulations were obtained when the diffusion of intracellular Ca2+ was modeled spatially. The resulting spatial calcium gradients were more effective in gating IKCa, and our simulations more accurately matched the recorded amplitude and shape of individual spikes as well as the frequency of maintained discharges observed in mammalian postnatal RGCs. © 2001 Academic Press.
Benison, G., Keizer, J., Chalupa, L., & Robinson, D. (2001). Modeling temporal behavior of postnatal cat retinal ganglion cells. Journal of Theoretical Biology, 210 (2). http://dx.doi.org/10.1006/jtbi.2000.2289