def __parseNHML__(self, doc):
'''
Parse xml file or element tree to generate the object
'''
super(Configurator, self).__parseNHML__(doc)
global global_sympy_params
from paramTranslation import params
filename = get_data('chipfiles/ifslwta_paramtrans.xml')
global_sympy_params = self.sympy_params = params(self, filename)
def __parseNHML__(self, doc):
'''
Parse xml file or element tree to generate the object
'''
super(Configurator,self).__parseNHML__(doc)
global global_sympy_params
from paramTranslation import params
filename = get_data('chipfiles/ifslwta_paramtrans.xml')
global_sympy_params = self.sympy_params = params(self, filename)
def _readCSV(self, CSVfile):
super(Configurator,self)._readCSV(CSVfile)
global global_sympy_params
from paramTranslation import params
try:
test_path = os.environ['PYNCS_TEST_PATH']
except KeyError:
test_path = './'
global_sympy_params = self.sympy_params = params(self, test_path + 'chipfiles/ifslwta_paramtrans.xml')
def __parseNHML__(self, doc):
'''
Parse xml file or element tree to generate the object
'''
super(Configurator,self).__parseNHML__(doc)
global global_sympy_params
from paramTranslation import params
try:
test_path = os.environ['PYNCS_TEST_PATH']
except KeyError:
test_path = './'
global_sympy_params = self.sympy_params = params(self, test_path + 'chipfiles/ifslwta_paramtrans.xml')
'M_EIP': M_EIP,
'MV_EIP': MV_EIP
}
return netobjs, M_EIP, MV_EIP
if __name__ == '__main__':
from pylab import *
from brian.plotting import raster_plot
ion()
from paramTranslation import params, loadBiases
from expSetup import *
configurator = pyNCS.ConfAPI.Configurator()
configurator._readCSV('chipfiles/ifslwta.csv')
configurator.set_parameters(loadBiases('biases/defaultBiases_ifslwta'))
p = params(configurator, 'chipfiles/ifslwta_paramtrans.xml')
p.translate('pinj', 2.8)
p.translate('nsynloclat1', 0.55)
p.translate('nsynloclat2', 0.53)
p.translate('nsynexcinh', 0.45)
p.translate('psynlocinhw', 2.75)
p.translate('psynlocinhth', .3)
stim = np.transpose([
np.random.randint(0, 128, 32000),
np.cumsum(np.random.random(32000) / 16)
])
netobjs, M_EIP, MV_EIP = create_netobjs(stim, p.cur)
net = Network(netobjs.values())
net.run(1)
raster_plot(*[M_EIP])
def _readCSV(self, CSVfile):
super(Configurator, self)._readCSV(CSVfile)
global global_sympy_params
from paramTranslation import params
filename = get_data('chipfiles/ifslwta_paramtrans.xml')
global_sympy_params = self.sympy_params = params(self, filename)
'MV_EIP': MV_EIP}
return netobjs, M_EIP, MV_EIP
if __name__ == '__main__':
from pylab import *
from brian.plotting import raster_plot
ion()
from paramTranslation import params, loadBiases
from expSetup import *
configurator = pyNCS.ConfAPI.Configurator()
configurator._readCSV('chipfiles/ifslwta.csv')
configurator.set_parameters(loadBiases('biases/defaultBiases_ifslwta'))
p=params(configurator, 'chipfiles/ifslwta_paramtrans.xml')
p.translate('pinj',2.8)
p.translate('nsynloclat1',0.55)
p.translate('nsynloclat2',0.53)
p.translate('nsynexcinh',0.45)
p.translate('psynlocinhw',2.75)
p.translate('psynlocinhth',.3)
stim = np.transpose([np.random.randint(0,128,32000), np.cumsum(np.random.random(32000)/16)])
netobjs, M_EIP, MV_EIP = create_netobjs(stim,p.cur)
net = Network(netobjs.values())
net.run(1)
raster_plot(*[M_EIP])
def _readCSV(self, CSVfile):
super(Configurator,self)._readCSV(CSVfile)
global global_sympy_params
from paramTranslation import params
filename = get_data('chipfiles/ifslwta_paramtrans.xml')
global_sympy_params = self.sympy_params = params(self, filename)