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Thanks for the clarification. I understood your explanations but still I don’t know how to write my baseganglion.hoc code. Do you mean that I should use the Model View's outline of model properties for the ganglion cell to define the baseganglion.hoc code? I don’t know what should I do?

I did these steps, but finally I saw just topology of the cell that I created and no geometry or biophysics properties. I think I couldn’t write the code for baseganglioncell.hoc correctly. I would be grateful if you can show these by desktop sharing as you said. Please inform me about the time and ...

Thanks for the explanations. Considering your suggestion, I studied the tutorials for Cell Builder and Network Builder. They were clear and useful, but I don’t know exactly how to model a ganglion cell (as starting point) by Network Builder. I mean I don't know which sections should I use to define ...

Thanks Ted. As it seems, I think I should find some way to represent the cells by a two compartment model. Can I change the model of Publio Rodrigo, in which the cells have been represented by a single compartment model, so that I can represent them by a two compartment model?

Thanks for the clarification of subject. "Well, some of the cells are connected by gap junctions. That allows a return path, doesn't it?" Yes but the resulting stimulus currents will depend entirely on where the cells are located and their total surface areas. It won't reflect the effect o...

Hello Ted, Thanks for the explanations. Currently I am using Publio Rodrigo modeling entitled “A network model of the vertebrate retina”. This model consists of the Rod, Cone, Bipolar, AII Amacrine and Ganglion cells. The Rods receive photo current stimulation (using Iclamp) and the output layer is ...

Hello everybody, I'm a Msc student, I am trying to implement the extracellular stimulation and recording on a model for retina network. For attempt one, I consider having just one ganglion cell. I took the code from the example provided by Ted for extracellular stimulating ( http://www.neuron.yale.e...