def build_hoc_for_instance(self, instance, hocfile_obj):
params = instance.get_resolved_parameters()
tau_open = params['tau_open']
tau_close = params['tau_close']
e_rev = params['e_rev']
popening = params['popening']
vdep = params['vdep']
cell = instance.cell_location.cell
section = instance.cell_location.morphlocation.section
syn_name_post = instance.synapse.get_name() + 'Post'
hoc_data_cell = hocfile_obj[MHocFileData.Cells][cell]
data = {
'synnamepost': syn_name_post,
'cell': cell,
'cellname': hoc_data_cell['cell_name'],
'sectionindex': hoc_data_cell['section_indexer'][section],
'sectionpos': instance.cell_location.morphlocation.sectionpos,
'tau_open': tau_open,
'tau_close': tau_close,
'e_rev': e_rev,
'pOpening': popening,
'random_seed': MFRandom.get_seed(),
'is_vdep_on': (1.0 if vdep else 0.0),
}
hocfile_obj.add_to_section(MHOCSections.InitSynapsesChemPost,
Template(exp2HOCTmpl, data).respond())
hocfile_obj[MHocFileData.Synapses][instance.synapse] = {}
hocfile_obj[MHocFileData.Synapses][instance.synapse]['POST'] = data
def build_hoc_for_instance(self, instance, hocfile_obj):
params = instance.get_resolved_parameters()
tau_open = params['tau_open']
tau_close = params['tau_close']
e_rev = params['e_rev']
popening = params['popening']
vdep = params['vdep']
cell = instance.cell_location.cell
section = instance.cell_location.morphlocation.section
syn_name_post = instance.synapse.get_name() + 'Post'
hoc_data_cell = hocfile_obj[MHocFileData.Cells][cell]
data = {
'synnamepost': syn_name_post,
'cell': cell,
'cellname': hoc_data_cell['cell_name'],
'sectionindex': hoc_data_cell['section_indexer'][section],
'sectionpos': instance.cell_location.morphlocation.sectionpos,
'tau_open': tau_open,
'tau_close': tau_close,
'e_rev': e_rev,
'pOpening': popening,
'random_seed': MFRandom.get_seed(),
'is_vdep_on': (1.0 if vdep else 0.0),
}
hocfile_obj.add_to_section(MHOCSections.InitSynapsesChemPost,
Template(exp2HOCTmpl, data).respond())
hocfile_obj[MHocFileData.Synapses][instance.synapse] = {}
hocfile_obj[MHocFileData.Synapses][instance.synapse]['POST'] = data
def build_hoc_for_instance(self, instance, hocfile_obj):
params = instance.get_resolved_parameters()
tau_open = params["tau_open"]
tau_close = params["tau_close"]
e_rev = params["e_rev"]
popening = params["popening"]
vdep = params["vdep"]
limit_conductance = params["limit_conductance"]
peak_conductance = params["peak_conductance"]
gamma = params["gamma"]
eta = params["eta"]
mg2conc = params["mg2conc"]
cell = instance.cell_location.cell
section = instance.cell_location.morphlocation.section
syn_name_post = instance.name + "Post"
hoc_data_cell = hocfile_obj[MHocFileData.Cells][cell]
data = {
"synnamepost": syn_name_post,
"cell": cell,
"cellname": hoc_data_cell["cell_name"],
"sectionindex": hoc_data_cell["section_indexer"][section],
"sectionpos": instance.cell_location.morphlocation.sectionpos,
"tau_open": tau_open,
"tau_close": tau_close,
"e_rev": e_rev,
"pOpening": popening,
"random_seed": MFRandom.get_seed(),
"is_vdep_on": (1.0 if vdep else 0.0),
"is_conductance_limited_on": (1.0 if limit_conductance not in [None, False] else 0.0),
"conductance_limit": (limit_conductance if limit_conductance not in [None, False] else -1.0),
"peak_conductance": peak_conductance,
"gamma": gamma,
"eta": eta,
"mg2conc": mg2conc,
}
hocfile_obj.add_to_section(MHOCSections.InitSynapsesChemPost, Template(exp2HOCTmpl, data).respond())
assert not instance in hocfile_obj[MHocFileData.Synapses]
hocfile_obj[MHocFileData.Synapses][instance] = data
