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Hi,

I'm trying to scale my current project of simulating 1000-cell network to ~27,000-cell network in NEURON. I use to generate connectivity matrix file in matlab, with 1000*1000 elements, and saved as txt file that was later imported into NEURON for connecting cells. But if network is with 27,000 cells, such a file will be huge, and it's sometimes impossible to store and imported.
I'm thinking how can I avoid generating those connection matrix files in matlab, and generate connections on-line in paralleled NEURON. They are all random, but have some tricky parts: it is composed of unidirectional ITN-ITN, bidirectional ITN-ITN, unidirectional ITN-PN, reciprocal ITN-PN and gap junctions.

Anyone here can give me some references or some suggestions on what tool I can use to make it possible.

Thanks in advance.

Use an algorithm to set up the network. It's up to you to figure out what algorithm would generate the connectivity you want.

Another option that you could consider is using NetPyNE (a tool for NEURON), which allows you to define connectivity rules using a high-level declarative format -- see this post for more information: viewtopic.php?f=45&t=3670