Initialization of Sparse Connecttivity fixed conectivity with user defined weights.

[andreARibe]

I have a model that I will requires large neuron populations, for wich I now use DENSE matrices.

[neworderofjamie]

Assuming you want to provide weights yourself, the easiest solution is to create 3 numpy arrays: presynaptic neuron id (pre_ind), postsynaptic neuron id (post_ind) and weight (g):

sg = model.add_synapse_population(
    "Synapses", "SPARSE",
    pre_pop, post_pop,
    init_weight_update("StaticPulse", {}, {"g": g}),
    init_postsynaptic("DeltaCurr"))
sg.set_sparse_connections(pre_ind, post_ind)

Obviously, using whatever weight update and postsynaptic models you want!

We have recently fixed some issues in this area so please make sure you are using either the GeNN 5.3.0 release candidate or the lastest master version.

[neworderofjamie]

pre_ind, post_ind and g all need to be 1D arrays of the same length.

[andreARibe]

I get it now. Thank you for answering so fast.