import nineml
from nineml.abstraction_layer.testing_utils import RecordValue, TestableComponent
from nineml.abstraction_layer import ComponentClass
from nineml.abstraction_layer.testing_utils import std_pynn_simulation

# Load the Component:
iz_file = '../../../../../../catalog/sample_xml_files/PostTF_izhikevich.xml'
iz = nineml.al.parse(iz_file)

# Write the component back out to XML
nineml.al.writers.XMLWriter.write(iz, 'TestOut_Iz.xml')
nineml.al.writers.DotWriter.write(iz, 'TestOut_Iz.dot')
nineml.al.writers.DotWriter.build('TestOut_Iz.dot')





# Simulate the Neuron:
records = [
    RecordValue(what='V', tag='V', label='V'), 
    #RecordValue(what='U', tag='U', label='U'), 
    #RecordValue( what='regime',     tag='Regime',  label='Regime' ),
        ]

parameters = nineml.al.flattening.ComponentFlattener.flatten_namespace_dict({
              'a': 0.02, 
              'b': 0.2, 
              'c': -65, 
              'd': 8, 
              'iinj_constant': 5.0,
              })

res = std_pynn_simulation( test_component = iz,
                    parameters = parameters, 
                    initial_values = {},
                    synapse_components = [],
                    records = records,
                   )





import nineml
from nineml.abstraction_layer.testing_utils import RecordValue, TestableComponent
from nineml.abstraction_layer import ComponentClass
from nineml.abstraction_layer.testing_utils import std_pynn_simulation

# Load the Component:
iz_file = '../../../../../../catalog/sample_xml_files/PostTF_izhikevich.xml'
iz = nineml.al.parse(iz_file)

# Write the component back out to XML
nineml.al.writers.XMLWriter.write(iz, 'TestOut_Iz.xml')
nineml.al.writers.DotWriter.write(iz, 'TestOut_Iz.dot')
nineml.al.writers.DotWriter.build('TestOut_Iz.dot')





# Simulate the Neuron:
records = [
    RecordValue(what='V', tag='V', label='V'), 
    #RecordValue(what='U', tag='U', label='U'), 
    #RecordValue( what='regime',     tag='Regime',  label='Regime' ),
        ]

parameters = nineml.al.flattening.ComponentFlattener.flatten_namespace_dict({
              'a': 0.02, 
              'b': 0.2, 
              'c': -65, 
              'd': 8, 
              'iinj_constant': 50.0,
              })

res = std_pynn_simulation( test_component = iz,
                    parameters = parameters, 
                    initial_values = {},
                    synapse_components = [],
                    records = records,
                   )





Fix to finding paths in nineml2nmodl
Fix to finding paths in nineml2nmodl

git-svn-id: c3c03ae8de67eddb7d242ee89b936c58f5138363@496 e4a6332b-da94-4e19-b8c2-16eed22ecab5
