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to follow up with my questions regarding multisplit here is a cartoon diagram of one instance of cell type 1. link to image: https://imgur.com/dyY1kS7 Is it necessary to somehow “alert” MPI that one neuron is separated? If it is necessary, then I’m not sure how I can specify that only one neuron typ...

Thanks for your response! I plan to make a network of 12 neurons with realistic morphological reconstructions. When I ran a 1 second simulation, it took about 2-3hrs. I will need to do 10 trials of a certain randomized input spike train simulation, but with about 50 different input spike trains type...

Thank you, I tested before to see if one run changes from the previous. I just saw this reply so now I will check also with changing tstop.

Hello, I am attempting to convert my working network model from serial to parallel to cut down the run time. It is implemented on a windows server edition with python code and biophysical single cell neuron models with complex morphologies. It will be run on a multi-processor computer with 16 cores,...

Thanks Ted, I will look into what you just said! 1. There are pseudorandom spike trains (no other randomization involved in the network). But during this period of testing, I'm saving spike trains and using the same ones to look at outcomes. 2. My colleague who optimized these single model cells tol...

Update: It seems the problem is coming from my function that is creating my two subnetworks and interconnecting them (create2Rings()). If I get rid of this function and just have jupyter notebook cells that creates the subnetwork with either one arrangement type or the other before I run the simulat...

Removing the nested for loop did not solve the issue. The following code has the same issue: network_arrangment_1 = [] network_arrangement_2 = [] for spotdiameter in np.arange(1,2,0.5): t = 10 rate_array = createRate(spotdiameter, t) subnetwork1_input = createPoissonInputs(rate_array, t) t = 10 d = ...

update: vstack isn't the issue, I think it may actually be the nested for loop. I just realized doing a for loop for the two different network arrangements isn't necessary. going to remove it and see if it solves my problem of identical arrays. can ignore text below. Just tried separating the intern...

Hello, I have a question about switching synaptic connections in a nested for loop while collecting membrane potential time series. It seems that after running my loop, the membrane time series for both connection arrangements are exactly the same. Let me describe a bit more my model here: I am mode...

Hi, I was wondering if you were able to find a solution to this error message?