""" 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')