These are the same simulations as submit_param_sweep_grids, except that the
external theta current is replaced by a current with a constant amplitude that
delivers the same charge per theta cycle.
'''
import numpy as np
from grid_cell_model.submitting.noise import SubmissionParser
from param_sweep import submitParamSweep, getBumpCurrentSlope
from default_params import defaultParameters as dp
parser = SubmissionParser()
parser.add_argument('--extra_qsub_params', type=str, default='')
o = parser.parse_args()
for noise_sigma in parser.noise_sigmas:
p = dp.copy()
p['noise_sigma'] = noise_sigma # pA
# Submitting
ENV = o.env
simRootDir = o.where
simLabel = '{0}pA'.format(int(p['noise_sigma']))
appName = 'simulation_grids.py'
rtLimit = o.rtLimit or '05:00:00'
numCPU = 1
blocking = True
timePrefix = False
numRepeat = 1
dry_run = o.dry_run
p['master_seed'] = 123456
- The speed is controlled by IvelMax and dIvel parameters (currently
[0, 100] pA, with a step of 10 pA
- At the end of each run, spikes from E and I population are exported to
the output file.
'''
import numpy as np
from grid_cell_model.submitting.noise import SubmissionParser
from param_sweep import submitParamSweep
from default_params import defaultParameters as dp
parser = SubmissionParser()
o = parser.parse_args()
for noise_sigma in parser.noise_sigmas:
p = dp.copy()
p['noise_sigma'] = noise_sigma # pA
# Submitting
ENV = o.env
simRootDir = o.where
simLabel = '{0}pA'.format(int(p['noise_sigma']))
appName = 'simulation_velocity.py'
rtLimit = o.rtLimit or '12:00:00'
numCPU = 1
blocking = True
timePrefix = False
numRepeat = 1
dry_run = o.dry_run
