def test_custom_templates_with_synapse(self):
models = [
"neurons/iaf_psc_delta.nestml",
"synapses/stdp_triplet_naive.nestml"
]
input_paths = [
os.path.join(
os.path.realpath(
os.path.join(
os.path.dirname(__file__),
os.path.join(os.pardir, os.pardir, "models", fn))))
for fn in models
]
nest_path = nest.ll_api.sli_func("statusdict/prefix ::")
target_path = 'target'
logging_level = 'INFO'
module_name = 'nestmlmodule'
store_log = False
suffix = '_nestml'
dev = True
codegen_opts = {
"neuron_parent_class":
"StructuralPlasticityNode",
"neuron_parent_class_include":
"structural_plasticity_node.h",
"neuron_synapse_pairs": [{
"neuron": "iaf_psc_delta",
"synapse": "stdp_triplet",
"post_ports": ["post_spikes"]
}],
"templates": {
"path":
'point_neuron',
"model_templates": {
"neuron":
['NeuronClass.cpp.jinja2', 'NeuronHeader.h.jinja2'],
"synapse": ['SynapseHeader.h.jinja2']
},
"module_templates": [
'setup/CMakeLists.txt.jinja2',
'setup/ModuleHeader.h.jinja2',
'setup/ModuleClass.cpp.jinja2'
]
}
}
neuron_model_name = "iaf_psc_delta_nestml__with_stdp_triplet_nestml"
synapse_model_name = "stdp_triplet_nestml__with_iaf_psc_delta_nestml"
to_nest(input_paths, target_path, logging_level, module_name,
store_log, suffix, dev, codegen_opts)
install_nest(target_path, nest_path)
nest.set_verbosity("M_ALL")
def test_custom_templates(self):
input_path = os.path.join(
os.path.realpath(
os.path.join(
os.path.dirname(__file__),
os.path.join(os.pardir, os.pardir, "models", "neurons",
"iaf_psc_exp.nestml"))))
nest_path = nest.ll_api.sli_func("statusdict/prefix ::")
target_path = 'target'
logging_level = 'INFO'
module_name = 'nestmlmodule'
store_log = False
suffix = '_nestml'
dev = True
codegen_opts = {
"templates": {
"path":
'point_neuron',
"model_templates": {
"neuron":
['NeuronClass.cpp.jinja2', 'NeuronHeader.h.jinja2'],
"synapse": ['SynapseHeader.h.jinja2']
},
"module_templates": [
'setup/CMakeLists.txt.jinja2',
'setup/ModuleHeader.h.jinja2',
'setup/ModuleClass.cpp.jinja2'
]
}
}
to_nest(input_path, target_path, logging_level, module_name, store_log,
suffix, dev, codegen_opts)
install_nest(target_path, nest_path)
nest.set_verbosity("M_ALL")
nest.ResetKernel()
nest.Install("nestmlmodule")
nrn = nest.Create("iaf_psc_exp_nestml")
mm = nest.Create('multimeter')
mm.set({"record_from": ["V_m"]})
nest.Connect(mm, nrn)
nest.Simulate(5.0)
def test_custom_templates_with_synapse(self):
models = [
os.path.join("neurons", "iaf_psc_delta.nestml"),
os.path.join("synapses", "stdp_triplet_naive.nestml")
]
input_paths = [
os.path.join(
os.path.realpath(
os.path.join(
os.path.dirname(__file__),
os.path.join(os.pardir, os.pardir, "models", fn))))
for fn in models
]
nest_path = nest.ll_api.sli_func("statusdict/prefix ::")
target_path = 'target'
logging_level = 'INFO'
module_name = 'nestmlmodule'
store_log = False
suffix = '_nestml'
dev = True
codegen_opts = {
"neuron_parent_class":
"StructuralPlasticityNode",
"neuron_parent_class_include":
"structural_plasticity_node.h",
"neuron_synapse_pairs": [{
"neuron": "iaf_psc_delta",
"synapse": "stdp_triplet",
"post_ports": ["post_spikes"]
}],
"templates": {
"path":
'point_neuron',
"model_templates": {
"neuron":
['NeuronClass.cpp.jinja2', 'NeuronHeader.h.jinja2'],
"synapse": ['SynapseHeader.h.jinja2']
},
"module_templates": [
'setup/CMakeLists.txt.jinja2',
'setup/ModuleHeader.h.jinja2',
'setup/ModuleClass.cpp.jinja2'
]
}
}
neuron_model_name = "iaf_psc_delta_nestml__with_stdp_triplet_nestml"
synapse_model_name = "stdp_triplet_nestml__with_iaf_psc_delta_nestml"
to_nest(input_paths, target_path, logging_level, module_name,
store_log, suffix, dev, codegen_opts)
install_nest(target_path, nest_path)
nest.set_verbosity("M_ALL")
nest.ResetKernel()
nest.Install("nestmlmodule")
neurons = nest.Create(neuron_model_name, 2)
weight_recorder = nest.Create('weight_recorder')
nest.CopyModel(synapse_model_name, synapse_model_name + "_rec",
{'weight_recorder': weight_recorder[0]})
mm = nest.Create('multimeter')
mm.set({"record_from": ["V_m"]})
nest.Connect(neurons[0],
neurons[1],
syn_spec={'synapse_model': synapse_model_name + "_rec"})
nest.Connect(mm, neurons[0])
nest.Simulate(5.0)