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/Applications/NEURON-7.6/nrn/lib/python/neuron/rxd/section1d.py:155: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. g[io, io] += rate_r + rate_l
The second related question is with respect to length scales (the diffusion matrix is an issue with large nsegs/small compartments, which seems to make sense). I have been setting my segment lengths according to the d_lambda rule for most sections, but that only takes electrical properties into account. The diffusion of voltage is way higher than it is for calcium (I am using D_Ca = 0.5 um^2/ms), where my segments should be much smaller with respect to calcium diffusion. Is there any way to separate these length scales?
Note: as you can see, I am still using Neuron 7.6 - apologies if this was addressed in 7.7! I haven't made the switch yet.