How to use the nml.MLNeuron function in nml
To help you get started, we’ve selected a few nml examples, based on popular ways it is used in public projects.
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neurokernel / neurokernel / neurokernel / neuroml / utils.py View on Github 
Undirected graph containing a module's interface ports.
id : str
Module identifier.
Returns
-------
module : neurokernel.neuroml.Module
Module instance.
"""
module = Module(id=id)
for n in g.nodes():
attr_dict = g.node[n]
if attr_dict['model'] == 'MorrisLecar':
ml = MLNeuron(id=attr_dict['name'],
extern=attr_dict['extern'],
public=attr_dict['public'],
spiking=attr_dict['spiking'],
V1=attr_dict['V1'],
V2=attr_dict['V2'],
V3=attr_dict['V3'],
V4=attr_dict['V4'],
phi=attr_dict['phi'],
offset=attr_dict['offset'],
init_v=attr_dict['initV'],
initn=attr_dict['initn'])
module.ml_neurons.append(ml)
elif attr_dict['model'] == 'LeakyIAF':
lif = LifNeuron(id=n,
extern=attr_dict['extern'],
public=attr_dict['public'],nml
An OpenTTD NewGRF compiler for the nml language
