def test_erp_variability_model_recalculate_model():
erp_model = ERP_Variability_Model(n_sub=16, n_gen=5,
variability_electrodes='constant',
variability_generators='individual',
variability_connections='individual')
erp_model.set_random_locations_orientations()
erp_model.set_random_magnitudes()
erp_model.set_random_variability()
assert_up_to_date(erp_model, False, False, False, False)
erp_model.recalculate_model()
assert_up_to_date(erp_model, True, True, True, True)
def __init__(self, n_sub, n_gen, variability_electrodes='none',
variability_generators='none',
variability_connections='none'):
ERP_Variability_Model.__init__(self, n_sub, n_gen,
variability_electrodes,
variability_generators,
variability_connections)
# Parameter bounds for fitting
self.magnitude_bounds = (0, None) # unnecessary?
self.depth_bounds = (4.49, 7.05) # cortex # TODO: Check values
self.theta_bounds = (0,pi/2)
self.phi_bounds = (0,2*pi) # unnecessary?
self.orientation_bounds = (0, pi/2)
self.orientation_phi_bounds = (0,2*pi) # unnecessary?
self.gen_variance_bounds = (None, None)
self.gen_covariance_bounds = (None, None)
self.el_variance_bounds = (None, None)