""" A scaled down version of the Brunel model useful for testing (see OMV files: .test.*) """ from brunel08 import runBrunelNetwork from pyNN.utility import get_script_args simulator_name = get_script_args(1)[0] simtime = 1000 order = 100 eta = 2.0 # rel rate of external input g = 5.0 runBrunelNetwork(g=g, eta=eta, simtime=simtime, order=order, save=True, simulator_name=simulator_name, N_rec=500)
if len(sys.argv)>1:
simulator_name = sys.argv[1]
else:
simulator_name = 'neuroml'
simtime = 1000
order = 5
eta = 1 # rel rate of external input
g = 4
import logging
logging.basicConfig(level=logging.DEBUG, format="%(name)-19s %(levelname)-5s - %(message)s")
runBrunelNetwork(g=g,
eta=eta,
simtime = simtime,
dt = 0.025, # for jLEMS
order = order,
save=True,
simulator_name=simulator_name,
extra={'reference':'BrunelFromPyNN'})
shutil.copy('BrunelFromPyNN.net.nml','../NeuroML2')
#shutil.copy('BrunelFromPyNN.net.nml','../NeuroML2')
shutil.copy('LEMS_Sim_BrunelFromPyNN.xml','../NeuroML2/LEMS_Sim_BrunelFromPyNN.xml')
from brunel08 import runBrunelNetwork
import shutil
simulator_name = 'neuroml'
simtime = 1000
order = 5
eta = 1 # rel rate of external input
g = 4
import logging
logging.basicConfig(level=logging.DEBUG, format="%(name)-19s %(levelname)-5s - %(message)s")
runBrunelNetwork(g=g,
eta=eta,
simtime = simtime,
dt = 0.025, # for jLEMS
order = order,
save=True,
simulator_name=simulator_name,
extra={'reference':'BrunelFromPyNN'})
shutil.copy('BrunelFromPyNN.net.nml','../NeuroML2')
#shutil.copy('BrunelFromPyNN.net.nml','../NeuroML2')
shutil.copy('LEMS_Sim_BrunelFromPyNN.xml','../NeuroML2/LEMS_Sim_BrunelFromPyNN.xml')
