for chan in reduced_cell_type.getChanMechsForGroup('soma_group'):
if chan.getName() in ['NaP_CML', 'NaR_CML', 'NaT_CML']:
chan.setDensity(0)
reduced_cell_type.associateGroupWithChanMech('soma_group', chan)
for chan in vervaeke_cell_type.getChanMechsForGroup('soma_group'):
if chan.getName() in ['NaP', 'NaR', 'NaT']:
chan.setDensity(0)
vervaeke_cell_type.associateGroupWithChanMech('soma_group', chan)
# generate
pm.doGenerate(sim_config_name, 1234)
while pm.isGenerating():
time.sleep(0.02)
# pick a segment to stimulate on the detailed cell
cth = CellTopologyHelper()
distances_dict = dict(cth.getSegmentDistancesFromRoot(vervaeke_cell_type, dendritic_group))
stim_seg_detailed = random.choice([seg_id for seg_id,dist in distances_dict.items() if 200. < dist < 220.])
# pick a segment to stimulate on the reduced cell
stim_seg_reduced = 6
# map distances of all ancestors of stimulation segment
ancestor_dists = dict(cth.getDistancesFromAncestorSegments(vervaeke_cell_type, stim_seg_detailed))
source_segment_index = 0
source_fraction_along = 0.5
delay = 0.
locs = []
detailed_seg_ids = []
