Hi Chris,

Thank you for the report! That shouldn't be the case; could you perhaps send your invocation to generate_code() so we can double-check the parameters? It works for me when I use the following:

codegen_opts = {"neuron_synapse_pairs": [{"neuron": "iaf_psc_exp_neuron",

"synapse": "stp_synapse",

"post_ports": ["post_spikes"]}],

"delay_variable": {"stp_synapse": "d"},

"weight_variable": {"stp_synapse": "w"}}

input_path = [os.path.join("models", "neurons", "iaf_psc_exp_neuron.nestml"),

os.path.join("models", "synapses", "stp_synapse.nestml")]

generate_nest_target(input_path=input_path,

logging_level="DEBUG",

suffix="_nestml",

codegen_opts=codegen_opts)

I am looking into your PyNN issue and will try to report back on that as soon as I can.

Much obliged,

Charl

On Wed, Sep 18, 2024, at 11:46, Chris Huyck wrote:

I’m trying to make a Hebbian Short Term plasticity model. I got the stdp_synapse working, and then tried to change that to stp. I kept getting the error stp_synapse not found in pynest. So, I just started from the static synapse, and modified that to get an stp_synapse that wasn’t Hebbian. When I introduced the post_synaptic neuron into the model, the stp_synapse not found error returns. Oddly, in the generated files (.h, .cpp, in stp_synapse__with_iaf_cond_exp_neuron and iaf_cond_exp_neuron__with_stp_synapse) there is a function for register stdp_synapse. (If you want to duplicate this, just change the stdp_synapse model name to stp_synapse).
-Chris
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