 So, how we explain this results? So, I went to many lectures and I found that the geometric ratio that is this ratio that the sum of the diameter of the dotted upon the current branches should be equal to 1. So, these geometric ratio plays a very important role in propagation of action potential. So, this geometric ratio is not only important for even for the dendritic tree, but also for the this thing in x also. So, if this geometric ratio is ordered that means the morphology of the dendritic tree is different, we might expect that the propagation of the action potential will be different. So, this we have seen in the previous study in our lab that the voltage response in the intermediate and superficial layer is not equal and the spread of the voltage response in the superficial layer appears to be a little less complicated there. So, this results that high failure rate in the superficial layer might indicate that this particular response between our previous study in our lab might be related with morphology of the dendritic tree in these two books. So, these are the two fluorescent images which was obtained during the experiment and this does not give the complete picture of the neuron because the rest of the part of the neuron is actually out of focus and it shows only a single layer, but this gives you the idea of the future work exactly. So, this cable analysis shows that the morphology of the superficial layer and the intermediate layer might differ. So, we need to investigate this by taking the good images and then we can segment that those images out and we can actually say something about the morphology. So, I would like to acknowledge Maya and Michelle for hosting me in their lab and in on for guiding me throughout the study and my lab member Jackson lab in Basola and of course University of Wisconsin and Kronan program and a senior. So, you try like one neuron so try multiple neurons one after the other connected. So, how they behave? No, actually I tried single neuron. So, the what we doing past clamp is we study a single neuron. So, the behavior of the single neuron is recorded. So, these models says what is the morphology of a particular neuron. So, of course, if we take collectively randomly selected neuron is taken. So, we can get a idea of what is the morphology of the entire population. So, I was thinking if you take multiple neurons and connect them then you have a I think better idea. So, this sort of simulation study is also I have seen such type of simulation study. I do not know how far it is applicable in this context, but those study actually