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It's the lowest level of complexity for the c302 model (params A: integrate & fire cells), but would be a good first atteppt to get OW simulations working on SpiNNaker.
This would require some support for the SpiNNaker code generation toolchain to support NeuroML/LEMS. Unfortunately this model can't be fully converted to PyNN, as it has double exponential synapses. Also, if this can't be run on SpiNNaker, none of the other more realistic networks (params B-D) would be supported. The corresponding LEMS file gives the simulation info (what to record, run time etc.)
Hi guys -- thanks @pgleeson for kicking this off. @huitzlio and I ran into each other at SFN. Michael, this might be a good time to look into this. I'm curious when you check this out what questions you may have about how to do something quick and dirty to get this up in SpiNNaker. Cheers!
A good candidate for testing OW simulations, and c302 in particular on the SpiNNaker platform would be this:
c302_A_Social.nml
It's the lowest level of complexity for the c302 model (params A: integrate & fire cells), but would be a good first atteppt to get OW simulations working on SpiNNaker.
This would require some support for the SpiNNaker code generation toolchain to support NeuroML/LEMS. Unfortunately this model can't be fully converted to PyNN, as it has double exponential synapses. Also, if this can't be run on SpiNNaker, none of the other more realistic networks (params B-D) would be supported. The corresponding LEMS file gives the simulation info (what to record, run time etc.)
CC @Huitzilo @slarson
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