Help with modeling EPSP in the auditory system
Posted: Sat Sep 01, 2007 1:15 am
Hello everyone. I am relatively new to the NEURON software. However, I do know some of the basics. I use the newest version of neuron on windows. The project I am working on requires me to measure the different levels of EPSP that are being created by different neurons. Let me try to illustrate this.
A, B, C > D
D > E
D < E
So.. basically, Neuron A, B, C input information to Neuron D. Then neuron D inputs information onward to neuron E which then send its signal back to neuron D. All these connections produce an EPSP. The gist of the project is to show the different levels of EPSP response produced by different pairs of cells.
So, my question is very simple. What method do you recommend I take to make the model. I have tried to used network builder and have come very far but the problem is that I do not know how to record the EPSP. All I get are AP's.
Is there any way in network builder I can get EPSP's.
OR is the only solution to the problem the creation of a new pointer?
Thank you for your time!
PS. At the moment, all I want to do is get a model made. Specific properties like the specifics of the Hodgkin-Huxley model or the passive model are not important, at least for now.
A, B, C > D
D > E
D < E
So.. basically, Neuron A, B, C input information to Neuron D. Then neuron D inputs information onward to neuron E which then send its signal back to neuron D. All these connections produce an EPSP. The gist of the project is to show the different levels of EPSP response produced by different pairs of cells.
So, my question is very simple. What method do you recommend I take to make the model. I have tried to used network builder and have come very far but the problem is that I do not know how to record the EPSP. All I get are AP's.
Is there any way in network builder I can get EPSP's.
OR is the only solution to the problem the creation of a new pointer?
Thank you for your time!
PS. At the moment, all I want to do is get a model made. Specific properties like the specifics of the Hodgkin-Huxley model or the passive model are not important, at least for now.