Identifying the source in NET_RECEIVE
Posted: Wed Sep 30, 2009 10:16 pm
Hello All,
Sorry for asking what seem to be such newbie questions, but after reading the neuron book and searching this forum, I still cannot find what I am looking for.
I am trying to create a network with hoc and nmodl with a learning algorithm that modifies the weights of the connections. I think the best way involves being able to identify the source of a given stimulus within a NET_RECEIVE (N_R) block, and then changing the netcon weight. I guess my biggest problem is not fully understanding the variables accessible in the NET_RECIEVE block. I currently have some ExpSyn's connected to a custom mod file. Does a N_R have access to all the variables inside the mod file which triggered the 'pulse'? Is there a net_send being activated within my ExpSyn's, such that any variables sent through that will come out the other side in the N_R? In another thread I noticed someone say something about a 'weight vector' used for use-dependent synaptic plasticity, though I was unclear as to whether a single variable which represented a vector was being passed, or if each of x1, x2 ... etc variables were that vector.
Any help in resolving this confusion would be greatly appreciated.
Thanks,
Joe
Sorry for asking what seem to be such newbie questions, but after reading the neuron book and searching this forum, I still cannot find what I am looking for.
I am trying to create a network with hoc and nmodl with a learning algorithm that modifies the weights of the connections. I think the best way involves being able to identify the source of a given stimulus within a NET_RECEIVE (N_R) block, and then changing the netcon weight. I guess my biggest problem is not fully understanding the variables accessible in the NET_RECIEVE block. I currently have some ExpSyn's connected to a custom mod file. Does a N_R have access to all the variables inside the mod file which triggered the 'pulse'? Is there a net_send being activated within my ExpSyn's, such that any variables sent through that will come out the other side in the N_R? In another thread I noticed someone say something about a 'weight vector' used for use-dependent synaptic plasticity, though I was unclear as to whether a single variable which represented a vector was being passed, or if each of x1, x2 ... etc variables were that vector.
Any help in resolving this confusion would be greatly appreciated.
Thanks,
Joe