def setup(mitralArg, granArg, run = False):
import sys
import custom_params
custom_params.filename = 'fig7'
custom_params.customMitralCount = mitralArg
custom_params.customGranulesPerMitralCount = granArg
import params
import runsim
runsim.build_complete_model('c10.dic')
if run:
runsim.run()
def setup(mitralArg, granArg, run=False):
import sys
import custom_params
custom_params.filename = 'fig7'
custom_params.customMitralCount = mitralArg
custom_params.customGranulesPerMitralCount = granArg
import params
import runsim
runsim.build_complete_model('c10.dic')
if run:
runsim.run()
import params
import runsim
import odors
from math import sqrt
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-tstop",
metavar='float',
help="stop time (ms) (default 1050)",
type=float,
default=1050)
args, unknown = parser.parse_known_args()
params.filename = 'bulb3dtest'
params.tstop = args.tstop
params.sniff_invl_min = params.sniff_invl_max = 500
params.training_exc = params.training_inh = True
from neuron import h
h('sigslope_AmpaNmda=5')
h('sigslope_FastInhib=5')
h('sigexp_AmpaNmda=4')
params.odor_sequence = [('Onion', 50, 1000, 1e+9)]
runsim.build_part_model([5, 37, 32, 78], [])
runsim.run()
import custom_params
custom_params.filename = 'fig7'
import params
import common
common.nmitral=1
import runsim
params.tstop = 50
runsim.build_complete_model('c10.dic')
runsim.run()
