def main():
"""main"""
param_values = {
"gNaTs2_tbar_NaTs2_t.apical": 0.026145,
"gSKv3_1bar_SKv3_1.apical": 0.004226,
"gImbar_Im.apical": 0.000143,
"gNaTa_tbar_NaTa_t.axonal": 3.137968,
"gK_Tstbar_K_Tst.axonal": 0.089259,
"gamma_CaDynamics_E2.axonal": 0.002910,
"gNap_Et2bar_Nap_Et2.axonal": 0.006827,
"gSK_E2bar_SK_E2.axonal": 0.007104,
"gCa_HVAbar_Ca_HVA.axonal": 0.000990,
"gK_Pstbar_K_Pst.axonal": 0.973538,
"gSKv3_1bar_SKv3_1.axonal": 1.021945,
"decay_CaDynamics_E2.axonal": 287.198731,
"gCa_LVAstbar_Ca_LVAst.axonal": 0.008752,
"gamma_CaDynamics_E2.somatic": 0.000609,
"gSKv3_1bar_SKv3_1.somatic": 0.303472,
"gSK_E2bar_SK_E2.somatic": 0.008407,
"gCa_HVAbar_Ca_HVA.somatic": 0.000994,
"gNaTs2_tbar_NaTs2_t.somatic": 0.983955,
"decay_CaDynamics_E2.somatic": 210.485284,
"gCa_LVAstbar_Ca_LVAst.somatic": 0.000333,
}
cell = l5pc_model.create()
print(cell.create_hoc(param_values))
def main():
'''main'''
param_values = {
'gNaTs2_tbar_NaTs2_t.apical': 0.026145,
'gSKv3_1bar_SKv3_1.apical': 0.004226,
'gImbar_Im.apical': 0.000143,
'gNaTa_tbar_NaTa_t.axonal': 3.137968,
'gK_Tstbar_K_Tst.axonal': 0.089259,
'gamma_CaDynamics_E2.axonal': 0.002910,
'gNap_Et2bar_Nap_Et2.axonal': 0.006827,
'gSK_E2bar_SK_E2.axonal': 0.007104,
'gCa_HVAbar_Ca_HVA.axonal': 0.000990,
'gK_Pstbar_K_Pst.axonal': 0.973538,
'gSKv3_1bar_SKv3_1.axonal': 1.021945,
'decay_CaDynamics_E2.axonal': 287.198731,
'gCa_LVAstbar_Ca_LVAst.axonal': 0.008752,
'gamma_CaDynamics_E2.somatic': 0.000609,
'gSKv3_1bar_SKv3_1.somatic': 0.303472,
'gSK_E2bar_SK_E2.somatic': 0.008407,
'gCa_HVAbar_Ca_HVA.somatic': 0.000994,
'gNaTs2_tbar_NaTs2_t.somatic': 0.983955,
'decay_CaDynamics_E2.somatic': 210.485284,
'gCa_LVAstbar_Ca_LVAst.somatic': 0.000333,
}
cell = l5pc_model.create()
print(cell.create_hoc(param_values))
def main():
'''main'''
param_values = {
'gNaTs2_tbar_NaTs2_t.apical': 0.026145,
'gSKv3_1bar_SKv3_1.apical': 0.004226,
'gImbar_Im.apical': 0.000143,
'gNaTa_tbar_NaTa_t.axonal': 3.137968,
'gK_Tstbar_K_Tst.axonal': 0.089259,
'gamma_CaDynamics_E2.axonal': 0.002910,
'gNap_Et2bar_Nap_Et2.axonal': 0.006827,
'gSK_E2bar_SK_E2.axonal': 0.007104,
'gCa_HVAbar_Ca_HVA.axonal': 0.000990,
'gK_Pstbar_K_Pst.axonal': 0.973538,
'gSKv3_1bar_SKv3_1.axonal': 1.021945,
'decay_CaDynamics_E2.axonal': 287.198731,
'gCa_LVAstbar_Ca_LVAst.axonal': 0.008752,
'gamma_CaDynamics_E2.somatic': 0.000609,
'gSKv3_1bar_SKv3_1.somatic': 0.303472,
'gSK_E2bar_SK_E2.somatic': 0.008407,
'gCa_HVAbar_Ca_HVA.somatic': 0.000994,
'gNaTs2_tbar_NaTs2_t.somatic': 0.983955,
'decay_CaDynamics_E2.somatic': 210.485284,
'gCa_LVAstbar_Ca_LVAst.somatic': 0.000333,
}
cell = l5pc_model.create()
print cell.create_hoc(param_values)
def setup(self):
"""Set up class"""
sys.path.insert(0, L5PC_PATH)
import l5pc_model # NOQA
self.l5pc_cell = l5pc_model.create()
nt.assert_is_instance(self.l5pc_cell, bluepyopt.ephys.models.CellModel)
self.nrn = ephys.simulators.NrnSimulator()
def setup(self):
"""Set up class"""
sys.path.insert(0, L5PC_PATH)
import l5pc_model # NOQA
self.l5pc_cell = l5pc_model.create()
nt.assert_is_instance(
self.l5pc_cell,
bluepyopt.ephys.models.CellModel)
self.nrn = ephys.simulators.NrnSimulator()
def create():
"""Setup"""
l5pc_cell = l5pc_model.create()
fitness_protocols = define_protocols()
fitness_calculator = define_fitness_calculator(fitness_protocols)
param_names = [param.name
for param in l5pc_cell.params.values()
if not param.frozen]
sim = ephys.simulators.NrnSimulator()
return ephys.evaluators.CellEvaluator(
cell_model=l5pc_cell,
param_names=param_names,
fitness_protocols=fitness_protocols,
fitness_calculator=fitness_calculator,
sim=sim)
