def get_component():
# Create a model, composed of an iaf neuron, and
iaf_2coba_model = al.ComponentClass(
name="iaf_1coba",
subnodes={"iaf": iaf.get_component(),
"cobaExcit": coba_synapse.get_component()})
# Connections have to be setup as strings, because we are deep-copying objects.
iaf_2coba_model.connect_ports("iaf.V", "cobaExcit.V")
iaf_2coba_model.connect_ports("cobaExcit.I", "iaf.ISyn")
return iaf_2coba_model
def get_component():
# Create a model, composed of an iaf neuron, and
iaf_2coba_model = ComponentClass(name="iaf_1coba",
subnodes={
"iaf": iaf.get_component(),
"cobaExcit":
coba_synapse.get_component()
})
# Connections have to be setup as strings, because we are deep-copying objects.
iaf_2coba_model.connect_ports("iaf.V", "cobaExcit.V")
iaf_2coba_model.connect_ports("cobaExcit.I", "iaf.ISyn")
return iaf_2coba_model
def get_component():
# Create a model, composed of an iaf neuron, and
iaf_nmda_model = ComponentClass(
name="iaf_2coba",
subnodes={"iaf": iaf.get_component(),
"nmda": nmda.get_component(),
'cobaExcit': coba_synapse.get_component()
})
iaf_nmda_model.connect_ports("iaf.V", "cobaExcit.V")
iaf_nmda_model.connect_ports("iaf.V", "nmda.V")
iaf_nmda_model.connect_ports("cobaExcit.I", "iaf.ISyn")
iaf_nmda_model.connect_ports("nmda.I", "iaf.ISyn")
return iaf_nmda_model
def get_component():
# Create a model, composed of an iaf neuron, and
iaf_3coba_model = ComponentClass(name="iaf_3coba",
subnodes={"iaf": iaf.get_component(),
"AMPA": coba_synapse.get_component(),
"GABAa": coba_synapse.get_component(),
"GABAb": coba_synapse.get_component(),
})
# Connections have to be setup as strings, because we are deep-copying objects.
iaf_3coba_model.connect_ports("iaf.V", "AMPA.V")
iaf_3coba_model.connect_ports("iaf.V", "GABAa.V")
iaf_3coba_model.connect_ports("iaf.V", "GABAb.V")
iaf_3coba_model.connect_ports("AMPA.I", "iaf.ISyn")
iaf_3coba_model.connect_ports("GABAa.I", "iaf.ISyn")
iaf_3coba_model.connect_ports("GABAb.I", "iaf.ISyn")
return iaf_3coba_model
