subclass_prs_dict = exp_prs_dict[tf_str]
spont_fr = subclass_prs_dict['spont_exp'][0]
# Get filters
transfer_function = ScalarTransferFunction(
'Heaviside(s+{})*(s+{})'.format(spont_fr, spont_fr))
temporal_filter = TemporalFilterCosineBump(t_weights, t_kpeaks,
t_delays)
if cell_type.find('ON') >= 0:
amplitude = 1.0
linear_filter = SpatioTemporalFilter(spatial_filter,
temporal_filter,
amplitude=amplitude)
cell = OnUnit(linear_filter, transfer_function)
elif cell_type.find('OFF') >= 0:
amplitude = -1.0
linear_filter = SpatioTemporalFilter(spatial_filter,
temporal_filter,
amplitude=amplitude)
cell = OffUnit(linear_filter, transfer_function)
return cell
py_modules.add_cell_processor('default', default_cell_loader, overwrite=False)
py_modules.add_cell_processor('preset_params',
default_cell_loader,
overwrite=False)
def set_default_processing(self, processing_fnc):
py_modules.add_cell_processor('default', processing_fnc)